Top Data & Analytics Jobs in San Francisco, CA

Reposted 12 Days AgoSaved
In-Office
San Francisco, CA, USA
74K-138K Annually
Mid level
74K-138K Annually
Mid level
Digital Media • News + Entertainment
Implement and monitor pricing strategies for consumer lending: translate strategy into system specs, collaborate with engineering, build validations and dashboards, maintain audit trails and governance, detect anomalies, support risk and partner integrations, and improve controls and execution processes.
Top Skills: GitlabJIRAPythonSQLTableau
Reposted One Month AgoSaved
In-Office
San Francisco, CA, USA
115K-216K Annually
Mid level
115K-216K Annually
Mid level
Digital Media • News + Entertainment
The Credit Strategy Lead analyzes credit risk data to develop strategies for lending products, collaborates with teams, and drives performance to optimize profits.
Top Skills: ExcelPythonSQLTableau
28 Days AgoSaved
Remote
United States
163K-281K Annually
Senior level
163K-281K Annually
Senior level
Digital Media • News + Entertainment
Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices using modern cloud data technologies. Remains hands-on with production code, technical reviews, and critical workflows while partnering with analysts, data scientists, People leaders, Legal, and Compliance. Ensures sensitive workforce data is reliable, secure, observable, and compliant.
Top Skills: AirflowAmazon RedshiftCi/CdDbtGitlabGoogle Cloud PlatformLlmPythonRagSnowflakeSnowflake Cortex AiSQLStreamlit
28 Days AgoSaved
Remote
United States
125K-234K Annually
Senior level
125K-234K Annually
Senior level
Digital Media • News + Entertainment
Designs and maintains production data pipelines, dbt models, Airflow workflows, and People Analytics datasets using Snowflake and Workday data. Owns data quality, observability, row-level security, governance, and access controls for sensitive People data. Builds semantic models and AI agents, collaborates with analysts and stakeholders, translates requirements into reliable deliverables, and mentors engineers through code reviews and technical guidance.
Top Skills: Amazon RedshiftApache AirflowCi/CdDbtGitGitlabGoogle Cloud PlatformLlmsPythonSnowflakeSQLWorkday
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