Top Remote Analytics Jobs in Los Angeles, CA

As a Credit Analytics Analyst, you will drive insights into credit performance, develop forecasting models, and collaborate with cross-functional teams to enhance Upstart's lending strategies.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

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.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

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

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The Associate Actuary analyzes data to forecast financial information, supports strategic decisions, and develops reports while collaborating with stakeholders.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

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

The role involves analyzing P&C data, developing quantitative modeling solutions, and collaborating with business partners to drive data-based decisions.

The Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

The intern will design experiments, develop tools for data analysis, conduct cost-benefit analysis, and communicate insights through data visualization.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

The Analyst, Rebate Analytics analyzes pharmacy claims data to identify trends and evaluate rebate performance, providing actionable insights for strategic decisions.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

As a Data & Analytics Analyst, you'll develop data infrastructure, perform complex analyses, provide insights, and ensure data quality across systems.

Seeking a Strategic Data Analyst & Global Compensation Consultant to provide insights on HR data, develop compensation strategies, and drive organizational performance through data storytelling.