Top Data Analyst Jobs in San Francisco, CA

The Data Analyst will analyze trends, design experiments, maintain dashboards, and enhance game integrity using data-driven insights to improve the player experience.

As a Data Analyst, you'll analyze data to shape user experience, drive business decisions, and optimize player engagement through experimentation and collaboration.

The Sr. People Data Analyst will leverage data for insights into workforce trends, ensuring data accuracy and developing metrics, dashboards, and reports.

As a Sr. Data Analyst, you'll enhance lending strategy through analytics, A/B testing, and collaboration with key teams, delivering insights for product growth.

The Senior Emerging Risk Data Analyst will develop data strategies, extract insights using SQL/Python, create dashboards, and present findings to leadership.

As a Data Analyst at Zynga, you'll enhance gameplay through analytics, A/B testing, and develop ETL pipelines to manage player data effectively.

As a Business Intelligence Analyst at Doximity, you'll analyze complex datasets, create client-facing analyses, automate data processes, and collaborate with teams to improve healthcare insights.

The Data Analyst will discover data insights, create analytics, and collaborate on data projects to improve healthcare outcomes.

The role requires providing data insights and analysis for the Emerging Risk team, developing data strategies, and automating reporting frameworks.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

As a Lead Data Analyst, you'll leverage data insights to drive business outcomes, partner with departments on data needs, and create dashboards and tools using various technologies.

The Lead Product Data Analyst will drive data-informed decision-making across teams, build data products, and collaborate with stakeholders while leveraging analytics tools like Amplitude and AI technologies.

The Senior Fraud Data Analyst develops data-driven fraud decisioning strategies, analyzes large datasets, and collaborates with stakeholders to enhance fraud prevention and optimize detection accuracy.

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 Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

As a People Team Data Analyst, you'll analyze hiring data to influence recruitment strategies and improve hiring processes, ensuring high data quality and effective communication of insights.

The Senior Data Analyst will analyze credit risk strategies, develop credit policies, and collaborate with various teams to optimize lending products.

The Data Analyst will analyze user data, build dashboards, report key metrics, and provide insights to guide product development and company strategies.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

As a Senior Data Analyst, you'll develop and scale banking products, drive experimentation, perform statistical analysis, and collaborate cross-functionally to enhance member engagement and retention based on data-driven insights.

The Data Analyst will analyze campaign performance, provide insights for client teams, manage target lists, and support data-driven decision-making.

The Data Analyst will analyze data to provide business insights, create reports and dashboards, and collaborate with teams for data-driven decisions.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

The Senior Data Analyst will analyze data to drive marketing insights, design metrics for decision-making, build data models, and influence growth strategies.

The Data Analyst will create impactful dashboards, automate reports, and ensure data integrity while collaborating across departments to inform business decisions.