Top Remote Senior Level Data Analysis Jobs in Los Angeles, CA

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

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.

The Sr. Insurance Analyst analyzes complex data to support growth and profitability targets, evaluates market opportunities, and collaborates cross-functionally on insurance products.

The Lead Decision Scientist drives business decision-making by analyzing data, leading experiments, translating findings into strategies, and mentoring junior staff.

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

The HEDIS Business Analyst IV leads data analysis to improve healthcare quality and HEDIS processes, identifies trends and risks, and collaborates across departments to enhance operational performance.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

Lead the Promotional Media Data Science team, overseeing causal inference, experimentation, and analytics to optimize promotional strategies and enhance member experience at Netflix.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.