Senior Analyst, Workforce Analytics

Stanford University; Northern (KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Stanford Medicine is seeking a Senior Analyst, Workforce Analytics — Data, Reporting & BI, to transform workforce data into trusted insights. You will lead end-to-end BI initiatives, build scalable dashboards, and drive data governance with cross-functional partners.

The role requires strong Tableau and SQL skills, experience with cloud data platforms, and the ability to communicate technical concepts to senior leaders. Collaboration across HR and analytics teams is essential.

Qualifications

• Master’s degree in a technical discipline is preferred.
• Strong knowledge of workforce data, metrics, and reporting practices.
• Expertise in Tableau with interactive dashboards and advanced calculations.
• Proficiency with SQL for querying and analyzing data.
• Experience transforming and integrating large datasets for reporting and analytics.
• Experience automating recurring data and analytics processes.
• Hands-on experience with Python or R is a plus.
• Familiarity with modern cloud data platforms like Databricks is a plus.

Responsibilities

• Develop and maintain BI solutions including dashboards, KPIs, and ad hoc analyses.
• Lead end-to-end workforce reporting initiatives from requirements to deployment.
• Coordinate data governance and stewardship activities.
• Create documentation for data, reporting, and analytics processes.
• Participate in user acceptance testing of new BI systems and upgrades.
• Define data investigations and produce standard or custom information from data sources.
• Design methods to identify data patterns and trends and propose investigations.
• Communicate findings to senior leadership with clear visuals and summaries.
• Collaborate with technical teams to standardize reports and automate workflows.
• Explore generative AI to enhance analytics, automation, and self-service reporting.

Skills

Tableau

SQL

Python

R

Generative AI

Stakeholder management

Data storytelling

Education

Master’s degree in a technical discipline

Tools

Databricks

Oracle HCM

Workday

SuccessFactors

Collibra

Cloud platforms

Job description

Stanford Medicine is fueling discovery and innovation to advance human health.

Rooted in our mission to be a premier research-intensive medical institution, the Stanford University School of Medicine (SoM) improves health through leadership, diversity, collaborative discoveries, and innovation in education, patient care, and research. Whether working in departments with faculty or in units that support the school, our staff propel us toward the future of medicine and Precision Health. We are transforming health care from reactive diagnosis to proactive prediction and prevention and from one-size-fits-all medicine to personalized care that empowers people to lead healthy lives.

Join the Human Resources Group (HRG), a department within the School of Medicine’s Dean’s Office, providing best-in-class people services and solutions that deliver value to our customers and cultivate leaders at all levels of the organization. Working closely with the School's academic departments, institutes, centers and administrative units, we lead in creating and maintaining a work environment that attracts, develops, rewards and retains a highly-engaged, talented, productive and diverse workforce in support of Stanford Medicine: Leading the Biomedical Revolution in Precision Health.

We have an exciting new opportunity and invite applications for the position of Senior Analyst, Workforce Analytics — Data, Reporting & BI. We are seeking a dynamic, well-rounded analytics professional who can perform complex technical and analytical work to address workforce and business needs. Reporting to the Director of Workforce Analytics, your responsibilities will span workforce data, reporting, BI, and analytics to deliver trusted information and actionable insights that inform School of Medicine’s workforce strategies and decision-making.

If you are passionate about transforming workforce data into trusted, scalable reporting and analytics solutions that inform talent strategies, support organizational transformation, and enable better decision-making, this opportunity is for you!

Duties include:

• Develop and maintain complex business intelligence solutions, including workforce reports, dashboards, scorecards, KPIs, metrics, and ad hoc analyses, with a focus on scalable reporting. Query, clean, transform, and integrate data from multiple sources to deliver accurate, actionable information and support organizational decision-making.
• Lead complex workforce reporting and business intelligence initiatives end-to-end, from requirements gathering and solution design through development, validation, implementation, and ongoing support.
• Originate and coordinate data governance/stewardship assignments.
• Develop and maintain documentation for data, reporting, analytics, and related processes.
• Participate in user acceptance testing of new BI analysis and reporting systems, upgrades, enhancements and change requests; plan, conduct and document results of testing.
• Define and drive areas of investigations to assess and produce relevant, standard, or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information, including summary interpretations of results.
• Develop and design methods for identifying data patterns and trends in available information sources using a variety of qualitative and quantitative techniques. Proactively suggest areas of investigation.
• Design and create meaningful reports that effectively illustrate key findings within the data. Identify and recommend strategic data collection and reporting requirements. Effectively convey findings and recommendations to varied audience groups and senior leadership.
• Provide subject matter expertise for ad-hoc projects and inquiries (e.g., requests for statistical analyses or surveys).
  Lead and/or collaborate with technical staff, project teams or vendors to develop standardizing processes and systemize routine reports, dashboards, and metrics.
  Validate data, analyses, and outputs for accuracy, identify anomalies, and investigate data quality issues.
• Leverage generative AI and emerging technologies to enhance analytical work, automation, and productivity, and identify opportunities to improve reporting and self-service analytics.
• Educate and train stakeholders on workforce analytics tools and promote data literacy, including effective use and interpretation of workforce data.

* - Other duties may also be assigned

Desired Qualifications:

• Master’s degree in a technical discipline (Statistics, Economics, Finance, Operations Research, Engineering, Mathematics, Psychology, Computer Science, MBA, Information Systems, Biology, Physics, Analytics, Data Science or similar area) is preferred.
• Strong knowledge of workforce or HR data, metrics, and reporting practices preferred.
  Experience working with HR technology platforms (e.g., Oracle HCM, Workday, SuccessFactors); Oracle HCM experience preferred.
• Demonstrated expertise in Tableau, with substantial hands‑on experience independently designing and developing complex, interactive dashboards, including advanced calculations, parameters, level-of-detail expressions, and row‑level security.
• Proficiency with SQL for querying and analyzing data.
• Demonstrated experience transforming, integrating, validating, and analyzing large, complex datasets from multiple data sources for reporting and analytics.
• Experience automating and streamlining recurring data, reporting, and analytics processes to improve efficiency.
• Hands‑on experience using Python, R, or similar analytical tools is a plus.
• Experience working with modern cloud‑based data and analytics platforms such as Databricks is a plus.
• Familiarity with data governance or data catalog tools, such as Collibra, is a plus.
• Strong stakeholder consulting skills, with the ability to understand business needs, translate requirements into effective data and reporting solutions, and communicate technical concepts to varied audiences.
• Experience with or interest in applying generative AI and emerging AI technologies to workforce analytics and related processes.