Top Remote Analytics Jobs in San Francisco Bay Area, CA

The analyst will own planning for launches, build forecasting models, partner with stakeholders, and drive data-driven decisions using AI and analytics.

The Analyst I will own analytics workflows, drive improvements, build data models, and support business metrics while collaborating across teams.

The Analyst II will analyze data to optimize fraud strategies, develop machine learning models, and collaborate with teams to enhance product safety.

As a Forward Deployed Data Analyst, you will configure and implement data systems for clients, ensuring their analytics are accurate and actionable. You'll work with teams to refine metrics and improve data processes, ensuring value from day one.

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

Manage client risk and maximize margins by making +EV pre-match and in-play decisions. Monitor depth charts, research verified news, analyze betting trends, and convert data into quantifiable trading actions. Work flexible hours and collaborate with cross-functional teams to improve processes and profitability.

Manage client risk and margins for sports-betting products, maintain depth chart accuracy pre-match and in-play, source and assess breaking news, and analyze betting trends to generate data-driven trading actions.

Embed with a core business unit to define problems, build metrics, run analyses, design experiments, and deliver data-driven recommendations that drive product, growth, AI, or partnership outcomes end-to-end.

Deliver marketing audience targeting and analytics: source and clean data, write complex SQL, manage and troubleshoot ETL, build tests and measurement frameworks, visualize insights (Excel/Tableau/Power BI), present findings to stakeholders, and collaborate cross-functionally to optimize paid and owned channel performance.

Lead audience targeting and growth marketing analytics: source and manage multi-source data, write complex SQL and maintain ETL pipelines, run replicable analyses, build visualizations, present insights, establish testing frameworks, and collaborate cross-functionally to optimize channel and audience performance.

This role involves conducting advanced data analysis to drive strategic decisions, defining metrics, collaborating with teams, and improving performance through insights.

Develop, maintain, and improve predictive models and operational forecasts to support claims demand and capacity planning. Build Python workflows, prepare and validate data with SQL and Python, automate manual processes, create visualizations and BI solutions, and partner with stakeholders to translate business questions into analytical solutions while sharing knowledge with teammates.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Manage client risk and maximize margins on Swish products through data-driven, +EV trading decisions. Maintain depth chart accuracy, react to prematch and in-play developments, research verified news, and analyze betting trends to produce quantifiable trading actions. Work flexible hours including nights and weekends.

Lead end-to-end research and production pipelines for systematic trading strategies. Conduct alpha research using statistical and ML techniques on high-frequency tick and order-book data, build Monte Carlo simulations and real-time risk monitoring, design position-sizing and stress-testing frameworks, mentor junior researchers, and collaborate with trading and infrastructure teams to deploy production-grade models and risk controls.

The Staff Specialist will lead analytics design, develop methodologies for energy customer pricing, analyze energy datasets, and support client projects in the energy industry.

The Predictive Analytics Consultant designs and delivers analytics solutions for lending operations, focusing on predictive modeling, data transformation, and stakeholder communication.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Perform quantitative analyses and reporting for consumer lending products, develop executive-level presentations, identify insights via root-cause analysis, and drive strategic actions across cross-functional partners to improve business performance.

Lead financial analytics for risk adjustment by integrating and modeling multiple healthcare data sources to identify variances and trends, deliver insights to leadership, and support strategic planning. Works independently on complex financial and actuarial analyses.

Owner of disbursement efficiency: analyze payment rails and routing KPIs, investigate transaction failures, build dashboards and dbt models, partner with Disbursements, Operations, and Product to improve success rates, cost, speed, and user experience.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Data Scientist will enhance statistical models for forecasting, analyze datasets for operational planning, and communicate insights to stakeholders.

The Analyst will analyze data, develop programming for data extraction, create reports, investigate trends, and monitor statistical models to enhance business decisions.