Top Analytics Jobs in San Francisco Bay Area, CA

Support Tempus' oncology data licensing by identifying patient cohorts, generating analytics, and maintaining technical processes. Mentor team members and integrate new data sources.

The Senior Data Analyst will perform strategic analyses, develop key business metrics, and collaborate with various stakeholders to interpret data related to Chime's performance and member interactions.

As an Analyst, you will conduct analyses for Hive's offerings, support project delivery, collaborate with teams, and communicate project outcomes.

The Staff Data Scientist will collaborate with product, engineering, and growth teams to optimize monetization systems through data-informed insights, metrics, and experimentation, driving revenue growth.

As a Data Analyst II, you'll drive data insights, support product launches, develop reports, and analyze data to aid decision-making. Collaborate with stakeholders and enhance data quality.

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.

This role requires strategic thinking and analytical expertise for market research, brand strategy, and senior management decisions in oncology.

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

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

The Analyst II will analyze customer risk, optimize fraud prevention strategies, develop data frameworks, and communicate findings to improve user experience and retention.

This role involves optimizing credit and underwriting strategies, performing portfolio analytics, conducting market research, and building financial models to support capital market performance and lending products.

The Senior Consultant will enhance clients' financial crime compliance frameworks using data analytics to mitigate risks and optimize compliance solutions.

The role involves analyzing rideshare marketplace behaviors to inform business strategies, leveraging data for insights, and partnering across teams to drive impact.

As a Core Product Data Scientist, drive insights through data analysis, collaborating with cross-functional teams and developing A/B testing strategies for product enhancement.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

The role involves complex analyses to improve portfolio risk and fraud prevention, managing multiple projects, and collaborating with business partners to enhance fraud policies and procedures.

Lead the People Analytics strategy, providing actionable insights to improve employee experiences and organizational effectiveness through data analysis.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

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

The Analytics Associate will develop analytical models, perform data analysis, create Excel models, and write SQL queries to support decision-making and improve business processes.

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.

As a Data Analyst, you'll develop and manage dashboards in Superset, build SQL datasets, analyze trading performance, and support cross-functional teams.

Lead end-to-end research and production pipelines for trading strategies, leverage statistical techniques, mentor junior researchers, and implement risk management practices.

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.