Senior Data Analyst

UCSF Pediatrics

. Serve as the primary data advisor to C-suite and senior leadership, translating business questions into analytical frameworks and dashboards .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $150,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and data management, with a strong focus on SQL, data modeling, and visualization tools to drive business insights. Proven ability to collaborate with cross-functional teams and communicate complex analyses effectively to senior leadership.

Highest-signal resume keywords

SQL ProficiencyData Modeling ExperienceCloud Warehouse ExperienceBI Tools ExpertiseHealthcare Analytics Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingPythonStatisticsDashboard DevelopmentData AnalysisAI IntegrationData TransformationComplex AnalysisData Quality Monitoring

Soft Skills

Communication SkillsAttention to DetailPrioritizationCollaborationPresentation Skills

Tools & Technologies

BigQuerySnowflakeRedshiftGitHubTableauLookerPower BIHolisticsSigmaDbt

Industry Keywords

Healthcare DataPHI HandlingHIPAA ComplianceAnalytics RoadmapKPI Tracking

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Serve as the primary data advisor to C-suite and senior leadership, translating business questions into analytical frameworks and dashboards
Build and maintain executive dashboards tracking business, clinical, operational, and product KPIs
Recommend ad-hoc analysis and deep-dive investigations supporting strategic initiatives and market expansion
Develop and execute a comprehensive analytics roadmap
Transform operational and unstructured data into clean, analysis-ready datasets
Use AI to accelerate analysis and identify processes where AI can replace manual workflows
Monitor data quality and partner with engineering to troubleshoot pipeline issues and maintain trusted data sources
Collaborate with engineering teams to integrate new data sources and optimize data flows
Own analytics across the company, including measurement of growth, conversion, care utilization, clinical outcomes, and retention
Define data models and metric definitions so dashboards use consistent measures
Juggle and prioritize analytics requests across clinical, growth, operations, and product teams

Requirements

What you’ll need

5+ years in an analytics, data, or business intelligence role
Strong SQL skills and experience querying large, complex datasets
Hands-on experience with data models and a cloud warehouse—BigQuery, Snowflake, or Redshift
Proficient with Python for data analysis
Proficient with GitHub and version control workflows
Experience performing complex analyses and communicating insights to business stakeholders
Experience with BI and visualization tools (Sigma, Tableau, Looker, Power BI, Holistics, or similar)
Track record of building dashboards and reporting that others rely on
Knowledge of statistics, data modeling, and healthcare analytics methodologies
Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
Strong written, verbal, and presentation communication skills
High attention to detail and commitment to delivering high-quality work
Excitement about AI and the role it can play in making the entire company more efficient
Experience with dbt or a similar transformation framework (nice to have)
Experience with healthcare data, and familiarity with PHI handling and HIPAA (nice to have)
Experience building agentic or LLM-based workflows (nice to have)
Legally authorized to work in the United States
Must complete a background check after an offer is made

Benefits

Comp & perks

Competitive equity stock option package
Comprehensive health, dental, and vision insurance options
401(k) retirement plan
Flexible paid time off (PTO) and company holidays
Remote work stipend
Professional development allowance