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 explicit, 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 maintaining consistency and accuracy.
Bu

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