Top Remote Analytics Jobs in Los Angeles, CA

The Senior Data Scientist will lead care gap analyses and HCP segmentation strategies using real-world data, mentor team members, and communicate insights to support medical affairs.

The Data Scientist will conduct advanced analytics, focusing on care gaps and segmentation of healthcare professionals using real-world data. Responsibilities include planning analyses, preparing datasets, developing predictive models, and collaborating with product managers to communicate insights.

As a Data Analyst, you will gather, analyze and maintain data quality, create reports and dashboards, and support strategic decision-making for Alliance Analytics.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Principal, Advanced Analytics - Subscriber Forecasting leads forecasting methodologies and develops frameworks for subscriber volume forecasting, integrating advanced analytics, time-series modeling, and AI. Responsibilities include scenario planning and cross-functional collaboration to inform enterprise decision-making.

The Senior Analyst will support drug pricing initiatives, implement MAC prices, perform quality control, and collaborate with clients and partners.

The Staff Advanced Analyst will drive data analytics to improve CS Safety experiences, influence product decisions, and build measurement tools using data-driven insights.

The Associate Actuary conducts analysis, pricing, and risk assessment to estimate financial outcomes, supporting internal and external initiatives with innovative methodologies and data-driven insights.

This Senior Actuary role focuses on leading strategic initiatives, conducting financial analysis, developing methodologies, and influencing cross-functional teams to optimize health care programs.

Analyze complex people data to identify trends and risks, leveraging automation for improved efficiency. Collaborate on people strategies and initiatives, providing actionable insights through data analysis.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

Analyze and forecast financial data for strategic decisions, lead a team, ensure data integrity, and advise executives. Requires extensive actuarial experience and modeling proficiency.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

Lead development and execution of data-driven audit strategies for insurance and PBM clients. Analyze large datasets, design analytics solutions, create dashboards, perform statistical profiling and sampling, ensure regulatory compliance, manage project budgets and client communications, and coach junior staff to improve examination efficiency and effectiveness.

The Senior Analyst will support fundraising data-driven decisions, develop KPIs, analyze campaigns, and collaborate on revenue forecasting through data modeling, analysis, and reporting.

The Manager, Data Analytics & Strategy will lead data projects, design measurement frameworks, and provide actionable insights to shape client outcomes by applying advanced data analysis techniques and overseeing the development of client-facing deliverables.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

Partner with cross-functional teams to analyze large healthcare datasets, build models and dashboards, and surface insights to reduce medical waste. Scope, run, and present analyses, monitor performance metrics, and support initiatives to improve financial and utilization outcomes.