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Salary Range:&nbsp;&nbsp;$102,183.00&nbsp;(Min.) -&nbsp;$132,838.00&nbsp;(Mid.) -&nbsp;$163,492.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Manager, Claims Research and Remediation manages L.A. Care’s specialized “Tiger Team” responsible for investigating, reconstructing, quantifying, and remediating the most complex and high-risk claims issues across the enterprise. This includes deep-dive root cause analysis (RCA), litigation-related claims support, systemic defect reconstruction, mass adjustment planning, execution, and large-scale remediation efforts required to mitigate legal, regulatory, or financial exposure.&nbsp;The Manager serves as a trusted operational partner to cross-functional key stakeholders by conducting high-precision analyses, validating claim impacts across multiple time periods, creating audit-ready documentation, and designing remediation strategies that reduce risk and recommends quality assurance protocols to ensure accuracy across the claims ecosystem.The Manager manages and leads staff who research and remediate complex providers, contracts, benefit structures, retroactive policy changes, system defects, and multi-year claim reviews. The position ensures deep analytical rigor, data integrity, quality control, and cross-functional coordination in all remediation work.The Manager manages all aspects of running an efficient team, including hiring, supervising, coaching, training, disciplining, and motivating direct reports. Participates and make recommendation on the department's strategic planning and/or long-term decision-making.<h4>Duties</h4>Drives L.A. Care’s most critical investigative and corrective work. &nbsp;Deals with the highest regulatory, financial, or legal exposure. Ensures that investigations are comprehensive, evidence-based, and defensible, and that remediation actions are accurate, auditable, and sustainable. Leveraging analytics, structured project leadership, and strong cross-functional collaboration, protects the organization while strengthening upstream processes and long-term operational reliability.Leads the investigation of complex issues involving benefit configuration errors, contract misinterpretation, pricing defects, authorization discrepancies, coding anomalies, or systemic system defects. Reconstructs claims outcomes across multiple adjudication cycles, benefit periods, and contract iterations to determine root cause and impact. Conducts multi-layered RCA involving claims rules, configuration tables, provider contracts, Electronic Data Interchange (EDI) inputs, pricing logic, benefit grids, Utilization Management (UM) decisions, and historical system changes. Develops complete audit trails documenting “what happened,” “why it happened,” and “how to prevent recurrence.”Partners with Legal to support litigation research, discovery preparation, and exposure modeling. Conducts claims sampling, case reconstruction, data pulls, validation, and preparation of evidentiary claim packages. Provides operational insights and documentation required for regulators, external auditors, and legal proceedings. Works with Compliance to design corrective action plans and support enterprise readiness during regulatory reviews, inquiries, or settlements.Partners with Claims Administration and Quality Assurance (QA) in the development of end-to-end remediation plans, including identification, retrieval, correction, reprocessing, and reconciliation of affected claims. Oversees multi-layered remediation for retroactive benefit changes, contract corrections, reimbursement updates, or operational/system defects. Ensures remediation execution is compliant, accurate, documented, and coordinated with cross-functional key stakeholders. Recommends QA/validation protocols before, during, and after remediation cycles.<h4>Duties Continued</h4>Develops models to quantify regulatory, legal, or financial exposure across multiple scenarios. Validates datasets received from other business units and ensures completeness, accuracy, and audit-readiness. Performs scenario testing to predict downstream implications of proposed changes, settlements, or corrective actions. Partners with Finance on financial projections and reserve-setting guidance.Works closely with cross-functional key stakeholders to validate findings and ensure remediation is accurate and aligned with operational rules. Identifies upstream gaps uncovered during investigations and partners with business owners to implement preventive controls. Provides recommendations for system enhancements, procedural changes, or policy updates to reduce recurrence of similar issues.Creates executive-level reports summarizing findings, root causes, risks, and recommended actions. Produces audit-ready documentation for regulators, legal stakeholders, Compliance, and leadership. Maintains strict confidentiality, secure data handling protocols, and precise audit trails.Manage staff, including, but not limited to: monitoring of day-to-day activities of staff, monitoring of staff performance, mentoring, training, and cross-training of staff, handling of questions or issues, etc. raised by staff, encourage staff to provide recommendations for relevant process and systems enhancements, among others. Assigns work, monitors progress, ensures quality, and maintains strong project management discipline. Builds a culture grounded in analytical precision, data integrity, critical thinking, and investigative rigor and supports proactive issue identification, cross-functional communication, accountability, transparency, and continuous operational improvement.Manages complex projects, engaging and updating key stakeholders, developing timelines, leads others to complete deliverables on time and ensures implementation upon approval. Responsible for reporting, budgeting, and policy implementation.Performs other duties as assigned.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree in Business Administration or Related Field<h4>Experience</h4>Required:At least 5 years of experience working in claims research, auditing, payment integrity, provider disputes, adjustments, or complex claims operational functions.At least 3 years of leading, supervising /managing staff. Equivalency:&nbsp; Completion of the L.A. Care Management Certificate Training Program may substitute for the supervisory/management experience requirement.Experience leading teams, projects, initiatives, or cross-functional groups.Experience in Medicaid, Medicare, and Commercial managed care lines of business.Deep experience interpreting provider contracts, payment methodologies, and managed care benefit structures.Demonstrated experience with high complexity claims review and RCA.Experience interacting with Legal, Compliance, or regulators.Strong experience with claims system logic, configuration dependencies, provider contracts, and benefit structures.Preferred: Experience supporting litigation, corrective action plans, or legal inquiry responses.Experience with multi-system data validation or complex SQL/data analysis.Coding experience or equivalent knowledge.<h4>Skills</h4>Required:Expert-level analytical and investigatory skills. Ability to analyze complex datasets and reconcile conflicting data sources.&nbsp;Exceptional presentation skills, written and verbal communication skills, including executive communication skills with the ability to produce audit-ready documentation.&nbsp;Extensive understanding of the application of the Division of Financial Responsibility (DoFR) to claims processing.&nbsp;Strong understanding of pricing methodologies, coding rules, benefit logic, and contract interpretation.&nbsp;Deep knowledge of relevant regulatory requirements (Department of Managed Health Care (DMHC), California Department of Health Care Services (DHCS), Centers for Medicare and Medicaid Services (CMS)).&nbsp;High proficiency with Excel, SQL, Access, or claims-data tools.&nbsp;Ability to lead cross-functional, high-pressure, confidential initiatives with minimal oversight.&nbsp;Demonstrated ability to make informed decisions.&nbsp;Strong interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment. Ability to guide and support team members.&nbsp;Excellent ability to set clear goals, develop strategic plans to achieve those goals, and inspire others to work towards a shared vision.&nbsp;Skilled in mediating disputes and resolving conflicts in a fair and constructive manner.&nbsp;Must have a deep understanding of financial principles. Ability and excellent knowledge in developing and managing budgets, forecasting future financial outcomes, and making informed decisions about resource allocation. Deep understanding of the industry, market dynamics, and organizational operations to identify opportunities and navigate challenges. Strong ability and knowledge to analyze market trends, anticipate future changes, and develop long-term strategies that align with the company's goals.Preferred:Ability to review claims in 360-degree approach.Ability to present findings to various levels of management, and including stakeholders, across all organization.Coding certifications (CPC, CCS) or equivalent knowledge.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Certified Professional Coder (CPC) or other equivalent Coding Certification<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Medical Coding, Claims, Medicare, Medicaid, Healthcare, Insurance

L.A. Care Health Plan

Manager, Claims Research and Remediation

Salary Range:&nbsp;&nbsp;$88,854.00&nbsp;(Min.) -&nbsp;$115,509.00&nbsp;(Mid.) -&nbsp;$142,166.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Risk Adjustment Strategies and Initiatives Analytics Program Manager II plays a valuable role in executing high-impact risk adjustment system implementations to continuously improving data and reporting processes to increase the effectiveness of risk adjustment programs and operations Infrastructure. The Program Manager II structures and coordinates cross-functional teams on technical initiatives in risk adjustment data platforms. The Program Manager II works closely with Information Technology (I.T.) and Business leads to conceptualize solutions, organize and align multiple teams for data regression testing, track and monitor system test cases, and user acceptance deliveries and drive towards meeting risk adjustment key performance indicator (KPI) metrics and reports for all three lines of business (Commercial, Medicare and Medi-Cal). The Program Manager II standardizes technical meetings and data discussions, ensures execution is efficient and consistent, and sets accountability by tracking progress, resolving dependencies, identifying issues, evaluating risks, and communicating with cross-functional business partners. The Program Manager II engages the analyst team to continue to support, test and upgrade multi-functional software programs for risk adjustment data collection and processing, often with tight deadlines and competing projects and priorities.&nbsp; The Program Manager II coordinates meetings, captures project discussions, develops project action plans, and completes business requirements and business case documents for technical implementations. Support and perform general data validation, clarify and address questions to drive projects and priorities. Track progress, coordinate with department analysts to resolve dependencies and evaluate risks, and communicate status to upper management and project partners. Serves as a resource on projects, technical documentation expert, and updates existing and develops new system architecture flow charts as risk adjustment activities evolve. Oversees and administers all facets of the day-to-day operations of the various programs and activities related to the position.<h4>Duties</h4>Develop, propose and implement program strategies and objectives. &nbsp;Responsible for monitoring program budget and expenditures. &nbsp;Plans, develops, and implements strategies for generating funding and/or resource opportunities for program activities. &nbsp;Provide program management and partnership with technical project team, and communicate and document concise project timelines, risks, escalation path, roles/responsibilities, and accountabilities. &nbsp; Facilitate technical meetings related to encounters and claims data for risk adjustment for all product lines (Commercial, Medicare, and Medi-Cal), capture notes and action plans. &nbsp;Synchronize the work of cross-functional project teams and provide direct or indirect oversight scope of work.&nbsp;Evaluates and oversee the development and implementation of Centers for Medicare and Medicaid Services (CMS) and Department of Health Care Services (DHCS) risk adjustment program changes; incorporate changes and requirements into strategy.&nbsp;Develop and manage risk adjustment data Infrastructure programs and manage deliveries from beginning to end, including project scope, timeline, software or hardware requirements, resource allocation, and project execution coordinating with inter/intra Technical and Business Functional teams. Ensure program objectives and deliverables are in alignment with department and LA Care &nbsp;goals. &nbsp;Develop program initiative timelines, goals and ensure everything is on schedule and within stated budgets.Serve as a liaison between all I.T. teams &nbsp;to ensure alignment with project goal(s). &nbsp;Coordinate cross-project activities.Partners with Business Owner(s) to develop communications plan, test plan, training plan, risk management/mitigation plan, and plan of record. Monitor inter-connected programs/project work product, outcome and interplay to be able to make necessary enhancements or modifications as appropriate to ensure alignment with department objectives. &nbsp;Coordinate cross-program/project activities as necessary. <h4>Duties Continued</h4>Formulate, organize and coordinate &nbsp;inter-connected projects in encounter and supplemental data collections, &nbsp;system processes, and regulatory data submissions for risk adjustment data management and methodologies for all three product lines (Commercial, Medicare, and Medi-Cal).Develops and distributes reports for senior leaders as it relates to risk adjustment metrics and performance. .Assess program performance and aim to maximize return on investment (ROI), utilize change management strategies to implement enhancements and process improvements as necessary.Navigate and create reports that monitors key performance indicators. &nbsp;Ensures the accuracy and timeliness of report and data given to senior leaders and stakeholders.Identify issues determined to impact risk adjustment, and work with the affected teams to resolve those issues in a manner that complies with all applicable internal and external governing rules and regulations.Perform other duties assigned.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4><h4>Experience</h4>Required: At least 5 years of experience in handling &nbsp;encounter data and/or risk adjustment projects or programs. &nbsp;Experience with Process Improvement Methodology including defining and documenting workflow.Experience with Workflow Tools - JIRA, Data Lake, Project Server etc.Technical project experience in large distributed systems, complex competing environments, Micro services Architecture, Cloud computing etc.Experience resolving effective program critical metrics and using them to measure program success and identify issues.Experienced in project management tools. Familiar with both Agile and Waterfall methodologies and able to apply them when best suited.Preferred: At least 5 years experience in Health Care, Managed Care<h4>Skills</h4>Required: Proven ability to work closely and skillfully with the all stake holders across the organization.Strong organizational, analytical and truth-seeking mentality skills to juggle many tasks without losing sight of the highest priority or roadmap projects.&nbsp;Excellent in identifying process gaps, measuring progress, efficiency and balancing with process overhead and be exceptional at facilitating discussions.Proven technical capability and an understanding of technical designs, challenges, and risks.&nbsp;Ability to influence, motivate, and align people across a broad variety of job functions through your project/program management skills. Basic understanding of IT driven technologies and Architectures.Working knowledge of SQL Server, Visual Studio, Oracle, MS Office, Visio, Project Server &amp; Jira ManagementAbility to articulate and communicate effectively and follow the project management and Systems Development Life Cycle (SDLC) lifecycles.Strong problem solving skills with the demonstrated ability to identify research and make decisions.&nbsp;Demonstrated ability to be an effective, collaborative partner with internal and external stakeholders.Understanding of encounter and supplemental data collections, &nbsp;system processes, and regulatory data submissions for risk adjustment data management and methodologies for Commercial, Medicare, and Medi-Cal product lines.Have an understanding of end-to-end encounters/claims, supplemental, and risk adjustment data software systems.Ability to lead cross functional internal teams to execute on complex tasks<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Project Management Certificate<h4>Required Training</h4><h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Medicare, Claims, Medicaid, Risk Management, Healthcare, Insurance, Finance

Risk Adjustment Strategies and Initiatives Analytics Program Manager II

Salary Range:&nbsp;&nbsp;$171,925.00&nbsp;(Min.) -&nbsp;$232,100.00&nbsp;(Mid.) -&nbsp;$292,274.00&nbsp;(Max.)Established in 1997, L.A. Care Health Plan is an independent public agency created by the state of California to provide health coverage to low-income Los Angeles County residents. We are the nation’s largest publicly operated health plan. Serving more than 2 million members, we make sure our members get the right care at the right place at the right time. Mission: L.A. Care’s mission is to provide access to quality health care for Los Angeles County's vulnerable and low-income communities and residents and to support the safety net required to achieve that purpose. <h4>Job Summary</h4>The Director, Enterprise Analytics provides strategic leadership and operational oversight for one of two primary analytic domains: Provider Performance &amp; Experience or Member Experience &amp; Outcomes. This position plays a pivotal role in enabling data-driven decision-making across the enterprise by translating complex data into actionable insights that inform strategy, improve performance, and advance organizational goals. As a key leader, the Director ensures that analytic strategy and execution are tightly aligned with other cross functional areas to drive L.A. Care’s enterprise transformation and strategic outcomes.The Director oversees analytic teams in the design, development, and delivery of insights that span multiple operational and strategic workstreams. Ensures efficiency and effectiveness in work outcomes. &nbsp;This position is responsible for directing all aspects of running an efficient team, including hiring, supervising, coaching, training, disciplining, and motivating direct reports<h4>Duties</h4>Lead strategic planning and prioritization for analytics efforts within the assigned domain, ensuring alignment with organizational objectives and enterprise priorities.Oversee and mentor leadership, fostering development of technical, operational, and leadership capabilities.Ensure delivery of enterprise-level dashboards, reports, and analytic products that support business performance, regulatory compliance, member outcomes, and provider experience.Partner with executives, strategic pillar leaders, cross-functional stakeholders, and partners to translate organizational priorities into analytics strategies, work plans, and actionable insights.Support and enforce analytic governance, standardization, and methodology consistency across teams and domains.Serve as the first point of engagement for domain analytics needs, providing expert guidance, strategic recommendations, and escalation support.Track and monitor analytic initiatives, ensuring timely delivery, quality, and relevance to business objectives.Advocate for data-driven decision-making, assuring they are embedded into strategic planning performance management and transformation initiatives across the enterprise and provide thought leadership on analytic strategy, capabilities, and innovation.Collaborate with key stakeholders to ensure alignment of data architecture, availability, and quality with analytic needs.Continuously assess enterprise and domain-level analytic capabilities, identifying opportunities for process improvement, automation, and innovation. Support and enforce the development, standardization, and governance of analytic processes and outputs across domains to ensure consistency, accuracy, and quality. <h4>Duties Continued</h4>Integrating development and outputs from the Applied AI and Causal Impact Data Science Team into the domain portfolio and roadmap, ensuring predictive and explainable models and program causal impact evaluations are operationalized, actionable, and aligned with business needs. Serving as a primary analytics liaison to stakeholders for the position’s focal analytic domain.Develop goals, objectives and actions plans for assigned staff which includes full management responsibility for the hiring, performance reviews, salary reviews, training, and disciplinary matters for direct reports.Conduct strategic planning for resource management in order to meet current and future departmental and enterprise-wide goals.Develop, and manage department budget, monitor expenditures and ensures financial sustainability.Perform other duties as assigned.<h4>Education Required</h4>Bachelor's DegreeIn lieu of degree, equivalent education and/or experience may be considered.<h4>Education Preferred</h4>Master's Degree<h4>Experience</h4>Required: At least 9 years of progressively responsible experience in analytics.At least 7 years of experience supervising/managing staff. Experience leading teams, projects, initiatives, or cross-functional groups.Experience with SQL, Python, and Tableau (or comparable BI/visualization tools) in a server-based analytics environment.Experience integrating outputs from advanced analytics or data science models into operational analytic portfolios.Preferred: Experience with stakeholder engagement, executive reporting, and strategic initiative management.Experience implementing and enforcing enterprise-level analytic standards and governance.<h4>Skills</h4>Required:Ability to lead multiple Managers and analytic teams, set priorities, and align work with enterprise strategy.Deep knowledge of healthcare operations, quality measurement, risk adjustment, provider networks, provider performance, population health and member experience.Demonstrated ability to set enterprise analytic priorities, translate strategy into execution, and deliver actionable insights to executive leadership.Knowledge of managed care, Medicare Advantage, Medi-Cal, commercial insurance operations, and compliance reportingKnowledge of prescriptive analytics, predictive risk modeling, or causal impact modeling.Ability to support and enforce the development, standardization, and governance of enterprise analytics outputs.Ability to synthesize complex findings into actionable recommendations and communicate effectively with senior leaders.Ability to provide oversight of multiple complex analytic initiatives, ensuring on-time and high-quality delivery.Ability to partner effectively across Information Technology (IT), Data Governance, operational and clinical teams, and business stakeholders.Ability to mentor Senior Managers, Managers, and analytic leaders, building enterprise analytic capability. Excellent written and verbal communication skills. Strong negotiation and interpersonal skills for building relationships, fostering teamwork, and creating a positive work environment.Strong strategic and operational acumen, with the ability to collaborate across business areas, anticipate analytic needs, and ensure alignment with enterprise priorities and transformation initiatives. Demonstrated ability to adapt to a fast-paced and evolving environment and to lead others through change.Preferred:Advanced knowledge of visualization design, executive dashboards, and Key Performance Indicators (KPI) frameworks.Strategic planning skills for enterprise analytic initiatives.Change management expert knowledge to drive adoption of standardized processes and tools.<h4>Licenses/Certifications Required</h4><h4>Licenses/Certifications Preferred</h4>Certified Professional in Healthcare Quality (CPHQ)Project Management Professional (PMP)Tableau Desktop or Tableau Server CertificationSnowflake SnowPro Core CertificationOther analytics or data-focused certifications (e.g., Microsoft Certified: Data Analyst Associate, Python for Data Science certifications)<h4>Required Training</h4>Preferred:Snowflake or SnowPro trainingHealthcare analytics training (e.g., HEDIS, Risk Adjustment, MLTSS)Executive leadership or strategic analytics trainingTraining in data governance, reproducibility, and analytic methodology best practicesFamiliarity with predictive modeling, prescriptive analytics, and causal inference methods<h4>Physical Requirements</h4>Light<h4>Additional Information</h4>Domain Specific Experience and Skills: Domain Focus: Provider Performance &amp; Experience Analytics Required:Proven experience leading and executing analytics strategy across at least one of the following managed care domains: Authorizations, Claims and Medical Cost Driver Analytics, Provider Network Strategy Analytics, or Risk Adjustment and Encounter Analytics.Demonstrated ability to align operational, financial, and clinical analytics to improve provider performance, experience, and value-based outcomes.Experience integrating analytic insights into provider engagement, performance improvement, and contracting strategies.Preferred: Experience with predictive modeling, cost driver analytics, and provider performance dashboards to support strategic decision-making.Deep understanding of provider network contracting, credentialing, utilization management, and claims operations.Knowledge of managed care regulations, compliance requirements, and operational reporting standard.Domain Focus: Member Experience &amp; Outcomes AnalyticsRequired:Experience leading and executing analytics strategy across Member Experience, Quality, Population Health, and Access to Care domains.Knowledge of population health frameworks, risk stratification methodologies, and social determinants of health analytics.Proven ability to align analytics to drive measurable improvements in member satisfaction, clinical quality outcomes, care access, and population health performance.Demonstrated success in developing and operationalizing analytics that inform strategic decision-making, program evaluation, and performance improvement initiatives. Preferred:Experience with Consumer Assessment of Healthcare Providers and Systems (CAHPS), Healthcare Effectiveness Data and Information Set (HEDIS), Stars, and other quality and satisfaction measurement programs.Experience incorporating predictive, explainable, and causal impact models into analytics solutions to enhance member insights and guide strategic interventions.Salary Range Disclaimer: The expected pay range is based on many factors such as geography, experience, education, and the market.&nbsp; The range is subject to change.L.A. Care offers&nbsp;a wide range of benefits including<ul><li>Paid Time Off (PTO)</li><li>Tuition Reimbursement</li><li>Retirement Plans</li><li>Medical, Dental and Vision</li><li>Wellness Program</li><li>Volunteer Time Off (VTO)</li></ul> Nearest Major Market: Los Angeles Job Segment: Claims, Medicare, Performance Management, Insurance, Healthcare, Human Resources

Director, Enterprise Analytics

Department:&nbsp;Library Reports to: Director, Reference and Public Services Job Type: Seasonal&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Job Classification: Hourly (Non-exempt)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Workplace Location: Los Angeles – Margaret Herrick Library Compensation: $17.87 per hour Summary/Objective: The Academy’s Margaret Herrick Library is seeking an enthusiastic and detail-oriented intern to support the Reference and Public Services team. This internship provides hands-on experience in reference and research services while learning about the library’s databases and collections. The intern will assist Reference Librarians with fielding external research and appointment inquiries, as well as support the creation and cleanup of LibGuides. This opportunity is open to students enrolled in graduate-level library and information studies programs with a focus on librarianship or archiving, with a strong interest or undergraduate degree in film studies. This is a limited-term internship position beginning in June 2026 through August 2026.&nbsp; Essential Functions of the Job:&nbsp;<ul><li>Assist with external reference queries via email, phone, and in person at the Library's reference desk.&nbsp;</li><li>Assist with creating and editing Reference Department LibGuides for internal staff use. </li><li>Assist with filing and refiling Research and Duplication Services orders.</li><li>Participate in project-based work aligned with the intern's own interests and the needs of the department, as available. </li></ul>Required Competencies: &nbsp;<ul><li>Currently enrolled in an ALA-accredited Master's degree program in library and information science or moving image studies.&nbsp;</li><li>A minimum of 3.0 GPA.</li><li>Knowledge of and interest in the film industry and film history, with a broad awareness of independent features, foreign language cinema, and current releases.</li><li>Familiarity with library systems, content management systems, and digital asset management systems. </li></ul>Skills and Abilities:<ul><li>Excellent verbal and written communication skills.</li><li>Ability to set priorities, meet deadlines, and work independently and collaboratively.</li><li>Demonstrates attention to detail, self-motivation, and effective problem-solving skills.</li></ul>Preferred Qualifications:<ul><li>A bachelor’s degree in film studies, history, art history, or a related field is preferred.</li><li>Coursework or experience in advanced searching tools, digital preservation, and metadata schemas preferred. </li></ul>Encouragement to Apply: We value diverse backgrounds and experiences and recognize that skills and knowledge are developed through many paths. If this opportunity aligns with your interests and goals and you see yourself reflected in the work, we encourage you to apply. Required Vaccination:&nbsp;Full vaccination against COVID-19 is required, including any booster vaccinations as applicable. Exception: Medical and religious accommodations approved by the Office of People &amp; Culture. This internship is part of the Academy’s Gold Rising program, an 8-week internship enhancement program that incorporates learning opportunities, including an intensive two-day orientation, weekly panels, exclusive networking events, workshops, screenings, and mentorship opportunities with Academy members. CLICK HERE&nbsp;to learn more about Gold Rising. #LI-DNI &nbsp;

Academy Of Motion Picture Arts and Sciences

Academy Of Motion Pictures

Reference and Research Services Intern, Summer 2026 (Gold Rising)

<h4>Summary of Position</h4>Lionsgate is currently seeking a Manager, Global Research to report to the Executive Director of Research on the Global Distribution Team. This position would work with a highly collaborative team that touches all aspects of Lionsgate business in both US and international offices including sales, marketing, finance, corporate and development teams. This person will oversee current series tracking and trends in the linear and streaming space.<h4>Responsibilities</h4><ul><li>Support Lionsgate Global Distribution with reporting and analysis of linear and streaming content performance&nbsp;</li><li>Track, analyze and report on Lionsgate’s global current and library TV series performance</li><li>Deliver key insights for marketing materials on TV content and library film</li><li>Monitor trends in the streaming video space on a global level</li><li>Support Lionsgate’s internal subscriptions channels teams with reporting and analysis</li><li>Prepare and present presentations of research results for internal stakeholders</li><li>Develop and implement new research tools and reports</li><li>Assist in managing junior staff</li></ul><h4>Qualifications and Skills</h4><ul><li>3-5 years of related experience preferred</li><li>Comfortable with math and familiarity with research methodology</li><li>Comfort with processing desperate datasets</li><li>Highly collaborative with strong attention to detail and organizational skills</li><li>Ability to oversee and coach junior team members</li><li>Must be able to thrive in a fast-paced deadline driven environment while handling competing priorities</li><li>Interest in movies, television and media</li><li>Experience with TV viewership data is a plus&nbsp;</li><li>Proficient with Microsoft Office is a must</li><li>A college degree required, an emphasis social science is preferred</li></ul><h4>About Lionsgate</h4>Lionsgate (NYSE: LION) is one of the world’s leading standalone, pure play, publicly traded content companies. It brings together diversified motion picture and television production and distribution businesses, a world-class portfolio of valuable brands and franchises, a talent management and production powerhouse and a more than 20,000-title film and television library, all driven by the studio’s bold and entrepreneurial culture.<h4>Business Unit Overview</h4>Lionsgate Television Lionsgate's Television Group is a leading supplier of premium programming to buyers around the world. With a rich history of acclaimed television series such as Mad Men, Weeds, Nurse Jackie, Orange is the New Black, Nashville and The Studio, Lionsgate Television series have earned 396 Emmy Award nominations and 47 Emmys. Lionsgate's Television Group includes nearly 100 series spanning 40+ networks from Lionsgate Television, Lionsgate Alternative Television, Lionsgate Worldwide Television Distribution, 3 Arts Entertainment and Debmar-Mercury.<h4>Our Benefits</h4><ul><li>Full Coverage – Medical, Vision, and Dental</li><li>Work/Life Balance – generous sick days, vacation days, holidays, and Impact Day</li><li>401(k) company matching</li></ul><h4>Compensation</h4>$80,000 - $85,000<h4>EEO Statement</h4>Lionsgate is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Lionsgate will provide reasonable accommodations for qualified individuals with disabilities. Lionsgate will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law. &nbsp;

Lionsgate

Manager, Global Research

Join the Clean Energy RevolutionBecome a Data Analytics Advisor in the Customer Analytics team at Southern California Edison (SCE) and help build a better tomorrow. In this role, you will develop advanced SQL queries, optimize Snowflake-based data solutions, and implement GenAI-driven analytics to deliver actionable insights that improve operational efficiency and enhance customer experience. As a Data Analytics Advisor, your work will help power our planet, reduce carbon emissions, and create cleaner air for everyone. Are you ready to take on the challenge and help us build the future?<h4>Responsibilities</h4><ul><li>Gather relevant data from various sources, including databases, spreadsheets, APIs, or data warehouses and ensure data integrity by cleaning and preprocessing it to remove errors, inconsistencies, or missing values that could affect the accuracy of the analysis</li><li>&nbsp;Use statistical and analytical techniques to explore and examine cleaned data; apply methods like descriptive statistics, data mining, predictive modeling, and machine learning algorithms to identify patterns, relationships, and trends within the data</li><li>Transform data into visual representations such as charts, graphs, and dashboards; visualizations should present insights and findings clearly and concisely, enabling stakeholders to understand the information easily and make data-driven decisions</li><li>Create reports and summaries that effectively communicate analysis and findings to non-technical audiences; reports should include key metrics, data visualizations, and actionable recommendations to help stakeholders understand data implications and make informed decisions</li><li>Continually monitor data quality, track performance metrics, and analyze new data to ensure the relevance and accuracy of insights and assist in evaluating and improving data analytics methodologies and processes for enhanced efficiency and effectiveness</li><li>Work with cross-functional teams, including data scientists, business analysts, and stakeholders from different departments, to define analytic objectives, align data analysis with business needs and communicate insights effectively</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity</li></ul><h4>Minimum Qualifications</h4><ul><li>Seven or more years of experience performing data analysis.</li><li>Experience using a variety of data tools and software.</li></ul>Preferred Qualifications<ul><li>5 years’ experience in SQL or other scripting languages such as Python with experience writing complex queries and optimizing performance</li><li>3+ years of hands-on experience with Snowflake or other cloud-based analytics platform, including Data modeling ETL development and orchestration, performance tuning and query optimization</li><li>Experience with GenAI tools or frameworks for data analysis or automation</li><li>Understanding utility industry operations, especially in customer service domains</li><li>Experience building or working with APIs to integrate external data sources into Snowflake, supporting real-time or automated data ingestion workflows</li><li>Experience working with SAS</li></ul>Additional Information<ul><li>This position’s work mode is hybrid.&nbsp;The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our&nbsp;Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Southern California Edison

Data Analytics, Advisor

Join the Clean Energy RevolutionBecome a&nbsp;Data Science/Predictive Analytics Senior Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will be responsible for working closely with internal clients, Subject Matter Experts, information architects, data engineers, process leads, project/program managers, and other teams to turn data into critical information and knowledge that can be used to make data informed business decisions.You will work in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by solving complex problems and enhancing business and customer experiences. Your tasks include analyzing large data sets, building advanced analytical models, and generating actionable insights for decision-making. You will collaborate with cross-functional teams, leveraging advanced statistical methods, machine learning techniques, and AI technology to solve real-world problems.You will be accountable for partnering with OU clients to understand business problems, identify opportunities for improvement, and incorporate analytics solutions into business processes, to ensure analytics solutions deliver positive business value and are directly associated with OU goals.Primary responsibilities will include:<ul><li>Collaborate with team members and stakeholders to support solutions for data-driven business challenges.</li><li>Build and implement predictive and prescriptive models to improve decision-making.</li><li>Assist in identifying opportunities for AI, machine learning, and data science to address business needs.</li><li>Translate defined business objectives into actionable requirements for AI/ML models.</li><li>Contribute to the design and development of AI/ML models using established techniques and frameworks.</li><li>Apply machine learning algorithms and data mining methods to analyze datasets and generate insights.</li><li>Monitor model performance and support enhancements to maintain accuracy and reliability.</li><li>Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions.</li><li>Stay informed on emerging tools and techniques; share recommendations with the team.</li><li>Participate in team knowledge-sharing and professional development activities.</li><li>Ensure compliance with security and integrity standards when handling sensitive data and assets.</li></ul>As a Data Science/Predictive Analytics Senior Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?<h4>Responsibilities</h4><ul><li>Engages diverse stakeholders including data scientists, business clients, data engineers, SMEs and team members to define solutions to complex business problems requiring advanced analytics and modeling</li><li>Develops predictive and prescriptive data models using machine learning, statistical modeling and other advanced techniques to uncover insights that improve data-driven decision making across the organization</li><li>Identifies high-value use cases across business functions and domains to apply artificial intelligence, machine learning and data science to solve previously intractable business problems</li><li>Translates specific business challenges into well-defined objectives, requirements and success criteria for developing appropriate AI/ML models and solutions</li><li>Designs, develops and thoroughly evaluates innovative AI/ML models leveraging techniques like neural networks, deep learning and reinforcement learning to create predictive capabilities</li><li>Applies cutting-edge machine learning algorithms and data mining techniques to extract key insights and make accurate predictions from large, varied and complex datasets</li><li>Continuously monitors and enhances AI/ML models for improved performance; tracks key metrics to validate models against desired outcomes</li><li>Develops AI/ML solutions following established processes and model governance practices for ethics, explainability, reproducibility and ongoing maintenance</li><li>Researches and evaluates new and emerging AI/ML tools, techniques and technologies; makes recommendations on their potential business application and impact</li><li>Develops peer relationships and participates in industry groups and events to stay current on data science</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.</li><li>Three or more years of experience in data analytics related work.*PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.</li></ul>Preferred Qualifications<ul><li>Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline.</li><li>Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist).</li><li>Coding: Proficiency in Python, or Scala, SQL, SAS etc.</li><li>Advanced proficiency in machine learning and predictive modeling.</li><li>Database systems: MySQL, PostgreSQL, or MSSQL.</li><li>Big Data Analytics: Hadoop environment, Hive, Pig or Spark.</li><li>Two or more years of experience working GCP, Azure, Snowflake, Databricks, and PowerBI.</li><li>Three or more years of experience using machine Learning methods such as deep learning, Bayesian methods, time series analysis, boosting, and bagging.</li><li>Formulate high-level business goals as data science problems. Identify appropriate machine learning or data mining algorithms to solve various electric utility problems.</li><li>Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation.</li><li>Capable of learning from state-of-the-art technical articles and reports. Has the ability to tailor state-of-the-art algorithms to solve the problem at hand, Has the ability to create insightful interpretations of the results.</li><li>Ability to effectively communicate technical content to non-technical audience at all levels, including individual contributor, frontline manager, middle management, and executives.</li><li>Broad understanding of the electric utility industry and its regulatory environment.</li></ul>Additional Information<ul><li>This position’s work mode is&nbsp;hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li><li>Relocation does not apply to this position.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Data Science/Predictive Analytics Senior Specialist

Join the Clean Energy RevolutionBecome a Data Scientist/Predictive Analytics Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you will work closely with internal clients, Subject Matter Experts, data engineers, process leads, project/program managers, and other teams to turn data into actionable insights that support informed business decisions.You will work in the Business Intelligence Center (BIC) within Customer Service, developing predictive analytics solutions. You'll support internal clients by applying advanced analytics to solve business challenges and enhance business and customer experiences. Your tasks include analyzing large datasets, building predictive models, and generating insights that improve decision-making. You will collaborate with cross-functional teams, leveraging statistical methods, machine learning techniques, and advanced tools to address real-world problems.You will be accountable for partnering with OU clients to understand business needs, identify opportunities for improvement, and incorporate analytics solutions into business processes to ensure solutions deliver measurable business value and align with OU goals.Primary responsibilities will include:<ul><li>Collaborate with team members and stakeholders to support solutions for data-driven business challenges.</li><li>Build and implement predictive and prescriptive models to improve decision-making.</li><li>Assist in identifying opportunities for AI, machine learning, and data science to address business needs.</li><li>Translate defined business objectives into actionable requirements for AI/ML models.</li><li>Contribute to the design and development of AI/ML models using established techniques and frameworks.</li><li>Apply machine learning algorithms and data mining methods to analyze datasets and generate insights.</li><li>Monitor model performance and support enhancements to maintain accuracy and reliability.</li><li>Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions.</li><li>Stay informed on emerging tools and techniques; share recommendations with the team.</li><li>Participate in team knowledge-sharing and professional development activities.</li><li>Ensure compliance with security and integrity standards when handling sensitive data and assets.</li></ul>As a&nbsp;Data Scientist/Predictive Analytics Specialist, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?<h4>Responsibilities</h4><ul><li> Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects</li><li>Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies</li><li> Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives</li><li> Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies</li><li>Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed</li><li> Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders</li><li> Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques</li><li> Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data</li><li>Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously</li><li>Keeps abreast of new and current data science and big data techniques</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.</li><li>One or more years of experience analyzing or manipulating complex data.</li></ul>Preferred Qualifications<ul><li>Bachelor's Degree (or higher) in an Applied Sciences or STEM discipline.</li><li>Industry certifications in data science, machine learning, or cloud analytics (e.g., AWS Certified Machine Learning, Microsoft Certified Data Scientist).</li><li>Experience with cloud-based analytics platforms (e.g., AWS, Azure, GCP).</li><li>Proficiency in Python or R for machine learning and predictive modeling.</li><li>Familiarity with big data technologies such as Snowflake and Databricks.</li><li>Knowledge of AI/ML frameworks and libraries.</li><li>Strong understanding of data visualization tools (e.g., MS Platform Technologies, Power BI, Tableau).</li><li>Experience integrating predictive analytics into business processes for measurable impact.</li><li>Experience developing or deploying Gen AI-based solutions (e.g./ prompt engineering, summarization, text classification, or workflow automation.</li><li>Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.</li></ul>Additional Information<ul><li>This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li><li>Relocation does not apply to this position.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Data Scientist/Predictive Analytics Specialist

Join the Clean Energy RevolutionBecome a Data Analytics Senior Specialist in the Customer Analytics team at Southern California Edison (SCE) and help build a better tomorrow. In this role, you will conduct operational analyses using advanced data analytics techniques, develop dashboards and reports, and leverage SQL and GenAI tools to generate actionable insights that enhance customer experience and drive measurable business outcomes. As a Data Analytics Senior Specialist, your work will help power our planet, reduce carbon emissions, and create cleaner air for everyone. Are you ready to take on the challenge and help us build the future?<h4>Responsibilities</h4><ul><li>Extract, transform, and automatically load data from various sources.</li><li>Develops and maintain scripts for data cleaning, statistical analysis, and reporting.</li><li>Apply statistical techniques to analyze program data, identifying trends, patterns, and correlations.</li><li>Develops reports, dashboards, and visualizations using SAS and other tools to communicate findings effectively.</li><li>Evaluates program effectiveness by assessing key metrics.</li><li>Quantify the impact of interventions and identify areas for improvement.</li><li>Collaborate with stakeholders to identify data requirements and ensure accurate results.</li><li>Ensure data accuracy, consistency, and integrity.</li><li>A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.</li></ul><h4>Minimum Qualifications</h4><ul><li>Five or more years of experience performing data analysis.</li><li>Experience using a variety of data tools and software.</li></ul>Preferred Qualifications<ul><li>3 years’ experience in SQL or other scripting languages such as Python with experience writing complex queries and optimizing performance</li><li>2+ years of hands-on experience with Snowflake or other cloud-based data analytics platforms, including Data modeling ETL development and orchestration, Performance tuning and query optimization</li><li>Proficiency in dashboarding tools (e.g., PowerBI, Tableau)</li><li>Experience with GenAI tools or frameworks for data analysis or automation</li><li>Understanding utility industry operations, especially in customer service domains</li><li>Experience performing analysis, testing hypotheses, and generating customer insights</li><li>Experience working with SAS</li></ul>Additional Information<ul><li>This position’s work mode is hybrid.&nbsp;The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.</li><li>Visit our&nbsp;Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!</li><li>Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</li><li>The primary work location for this position is Irwindale, CA.</li></ul>About Southern California EdisonThe people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.

Data Analytics Senior Specialist

<h4>Summary of Position</h4>Lionsgate is currently seeking an Analyst, Worldwide TV Research to join the Distribution Research Team in overseeing Lionsgate’s data synergy initiatives. This role will work with internal stakeholders and external partners to maintain, improve and grow our centralized database, while collaborating with key stakeholders to refine analytics and reporting. &nbsp;<h4>Responsibilities</h4><ul><li>Partner with data engineers to ensure internal data systems are accurate and structured efficiently.</li><li>Create and improve data visualizations.</li><li>Structure, process and ingest new data streams into integrated data systems.</li><li>Collaborate with end users to ensure current reporting meets the needs of multiple teams.</li><li>Work with data science team to support advanced research projects.</li></ul><h4>Qualifications and Skills</h4><ul><li>Very strong written and verbal communication skills</li><li>Strong mathematics, statistics, programming, or behavioral analytics background</li><li>Curious with proven problem-solving abilities</li><li>Ability to derive compelling insights from raw data</li><li>Skilled in explaining complicated concepts to non-experts</li><li>Highly organized and detailed oriented</li><li>Resourceful in finding solutions to problems</li><li>Ability to constantly multi-task in a fast-paced, deadline-driven environment</li><li>Proficiency in Microsoft Office Suite (Word, PowerPoint, Excel)</li><li>3-5 years experience in a related field</li></ul><h4>Nice to Haves</h4><ul><li>Experience in TV Distribution or consumer research</li><li>Comprehensive knowledge of the film and TV industry and enthusiasm for film and TV content (both current and historical)</li><li>Familiarity with programming languages, Snowflake, Tableau, Github and AWS</li></ul><h4>About Lionsgate</h4>Lionsgate (NYSE: LION) is one of the world’s leading standalone, pure play, publicly traded content companies. It brings together diversified motion picture and television production and distribution businesses, a world-class portfolio of valuable brands and franchises, a talent management and production powerhouse and a more than 20,000-title film and television library, all driven by the studio’s bold and entrepreneurial culture.<h4>Business Unit Overview</h4>Lionsgate Television Lionsgate's Television Group is a leading supplier of premium programming to buyers around the world. With a rich history of acclaimed television series such as Mad Men, Weeds, Nurse Jackie, Orange is the New Black, Nashville and The Studio, Lionsgate Television series have earned 396 Emmy Award nominations and 47 Emmys. Lionsgate's Television Group includes nearly 100 series spanning 40+ networks from Lionsgate Television, Lionsgate Alternative Television, Lionsgate Worldwide Television Distribution, 3 Arts Entertainment and Debmar-Mercury.<h4>Our Benefits</h4><ul><li>Full Coverage – Medical, Vision, and Dental</li><li>Work/Life Balance – generous sick days, vacation days, holidays, and Impact Day</li><li>401(k) company matching</li></ul><h4>Compensation</h4>$70,000 - $75,000<h4>EEO Statement</h4>Lionsgate is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Lionsgate will provide reasonable accommodations for qualified individuals with disabilities. Lionsgate will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law. &nbsp;

10 Research / Development Jobs in Los Angeles, CA, USA