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Day - 08 Hour (United States of America)

Job Summary

The Senior Data Analyst is a hands-on analytics leader who partners with clinicians, operations, quality, finance to deliver trustworthy metrics, robust data models, and decision-support tools. You will translate business questions into analytical frameworks, build validated datasets from Epic and other sources, develop dashboards and statistical analyses, and champion data governance, reproducibility, and privacy by design aligned with Stanford Medicine, HIPAA, and industry best practices.

Essential Functions

The essential functions listed below are general examples and not a description of comprehensive duties. Specific duties and responsibilities may vary depending on department or program needs without changing nature or scope of this position or level of responsibility. May be asked to perform other duties as assigned.

Strategy and stakeholder partnership
Engage stakeholders to clarify problem statements, success criteria, and key metrics; translate into clear analytical requirements and roadmaps.
Align work to Stanford Medicine’s Precision Health and learning health system priorities; support value-based care and quality improvement initiatives.
Data modeling and engineering
Design and maintain curated, reusable datasets and semantic layers that conform to enterprise definitions (patient, encounter, provider, location).
Extract, transform, and integrate data from Epic Cogito/Clarity/Caboodle, operational systems, claims, registries, patient experience, and external sources.
Apply dimensional modeling (Kimball) and best practices for performance, lineage, and maintainability; contribute to metric layers for consistent KPI definitions.
Analytics and data science
Build executive-ready dashboards and self-service assets in Tableau (or equivalent), with a focus on usability, accessibility, and storytelling.
Conduct advanced analyses: cohort building, risk adjustment, regression, time series, survival analysis, propensity matching, A/B testing where applicable.
Support quality and operational domains (examples): readmissions, LOS, throughput, patient access, CMS/Vizient/Leapfrog metrics, population health risk stratification, cost/utilization, SDOH.

Implement robust validation:

profiling, anomaly detection, reconciliation to source-of-truth, and peer review prior to production releases.
Maintain documentation: data dictionaries, metric definitions, lineage, and SOPs; contribute to data governance forums.
Uphold privacy and security: apply minimum necessary, de-identification where applicable, and comply with HIPAA/HITECH, IRB/PHI handling, and Stanford Medicine information security policies.

Automation and reliability:

Communication and influence
Translate complex findings into clear narratives and recommendations tailored to clinical and executive audiences.
Promote data literacy; train end users on metric definitions, dashboards, and responsible self-service.
Mentor analysts; lead code reviews and contribute to team standards and templates.

Core Competencies

Customer focus and stakeholder management; ability to negotiate scope, timelines, and trade-offs.
Analytical rigor and systems thinking; balances speed with accuracy and governance.
Communication and data storytelling; distills complex analyses into actionable insights.
Collaboration and mentorship; contributes to an inclusive, learning-oriented team.
Integrity, accountability, respect, and excellence consistent with Stanford Medicine values.

Tools and Technologies (examples)

Data: Epic Clarity/Caboodle, OMOP, claims, patient experience, operational systems, registries
Languages: SQL, Python or R; familiarity with Git/GitHub
BI/Visualization: Tableau (preferred), Power BI or equivalent
Cloud/Data platforms: Snowflake, BigQuery, Azure/Synapse, or equivalent; experience with APIs and FHIR is a plus

Success Measures (first 6–12 months)

Delivery of high-impact, validated dashboards or analytical products adopted by target users.
Reduction in data defects and cycle time from request to insight; measurable improvements in metric consistency.
Documented metric definitions and data lineage for priority domains; contributions to governance forums.
Demonstrated uplift in stakeholder decision-making tied to your analyses (e.g., throughput, quality, or cost improvements).

Working Conditions

Hybrid with on-site presence for key stakeholder engagements; limited after-hours support for critical releases.
Compliance with institutional onboarding, background check, and health/safety requirements.

Job Qualifications

Education

Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Informatics, Computer Science, Engineering, Economics).

Experience

5+ years of progressive analytics experience, with at least 3 years in healthcare provider, payer, or life sciences analytics.
Advanced SQL and data wrangling skills across large, complex schemas (Epic Clarity/Caboodle experience strongly preferred).
Proficiency with at least one analytics programming language (Python or R) and one major BI platform (Tableau strongly preferred).
Demonstrated experience defining and operationalizing clinical and operational KPIs; strong grasp of cohort logic and denominators/numerators.
Working knowledge of statistical methods and experimental design; ability to validate and communicate model assumptions and limitations.

none

Knowledge, Skills, and Abilities

Typing at 65 wpm
Strong computer skills, with experience in MS Word, Excel, Power Point and Database management
Strong communication and interpersonal skills
Strong attention to detail
Strong ability to trouble shoot and solve problems
Ability to complete work independently
Knowledge of medical terminology
Strong customer service skills

Physical Demand and Working Conditions

The Physical Requirements and Working Conditions in which the job is typically performed are available from the Occupational Health Department. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job.

Equal Opportunity Employer

Equal Opportunity Employer Stanford Health Care Tri-Valley (SHCTV) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $48.42 - $65.93 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

Stanford Health Care Tri-Valley jobs

Senior Data Analyst

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