What You'll Do

Apply Data Science to People Challenges
- Independently design and run analyses — statistical modeling, predictive analytics, hypothesis testing — to answer complex employee and organizational performance and lifecycle questions, working within the standards and roadmap the Senior Manager sets.
- Use Python or R to go beyond dashboarding where the question calls for it: building models, testing hypotheses, and generating insights that static reporting can't.
- Partner with the Senior Manager on identifying and building GenAI and AI-assisted tools, contributing your own ideas on where AI/data science can add value, not just implementing a predefined list.
- Bring analytical rigor to the team — pressure-test assumptions, validate findings, and know when a simpler explanation fits the data better than a complex model.

Deliver Insights Through Visualization
- Create transparent, intuitive data visualizations that help stakeholders quickly understand workforce trends.
- Translate business questions into actionable insights through dashboards and analysis.
- Design,



build, and maintain dashboards and reports using Power BI as the primary tool.
- Monitor and improve dashboard performance, ensuring fast load times and efficient data models.
- Troubleshoot and resolve dashboard issues related to data accuracy, refresh failures, performance, and usability.

Data Expertise
- Extract, validate, and manage workforce data from enterprise systems, ensuring accurate and reliable reporting.
- Develop a strong understanding of enterprise data structures, including core HR, talent, and organizational data.
- Partner with HR Operations and IT to troubleshoot data discrepancies between Workday and downstream systems.
- Support data integrity by identifying and resolving data quality issues at the source.

Work Directly with Data
- Clean, transform, and prepare data from Workday and other systems for analysis and reporting.
- Combine datasets from multiple sources while mainta

📌 Sr. Analyst, People Analytics (Bengaluru)
🏢 Levi Strauss
📍 Bengaluru