Workforce Analyst
UCSF Health · San Francisco, CA · 3 days ago
Information TechnologyFull-time
Responsibilities
- Develop Business Logic for Analytic Reporting
- Data Consultation: Identify and source multiple data streams to inform recommendations.
- Technical: Develop TSQL queries to marry disparate data sources.
- Prepare reporting on AI-augmented platforms such as PowerBI, Tableau, Databricks.
- Process/Workflow Efficiency: Plan work flows and processes surrounding the analysis of data.
- Identify additional efficiencies to enhance work flow or extract more value from existing data tools.
- Identify tools to optimize workflow without compromising analytics.
- Documentation: Document analytics approaches to allow for validation and replication.
- Sustainability: Work with People Analytics engineering team to ensure processes are scalable, flexible, and within governed parameters (security, enterprise standards).
Qualifications
- Bachelor's degree in a related area and/or equivalent experience/training.
- At least 2 years of experience working with structured data using SQL, Python, R, or similar analytical tools.
- At least 2 years’ experience developing reports from large data sets.
- Experience translating business questions into analytic approaches and actionable recommendations.
- At least 2 years’ experience developing and maintaining report specifications in collaboration with business owners.
- Demonstrated experience using data to solve business problems and support decision-making.
- Strong problem-solving, critical thinking, and communication skills.
- Proficiency in MS 365 Office Suite, especially Excel.
- Excellent communication, escalation, time management, collaboration, and change management skills.
- Ability to work both independently and in teams.
- Experience working with workforce, HR, healthcare, operational, or compliance-related data.
- Experience developing metrics and KPIs.
- Familiarity with workforce analytics concepts, including turnover, mobility, staffing, compliance, and organizational effectiveness.
- Experience with Tableau, Power BI, Databricks, or similar analytics platforms.