Sr. Analyst, People Analytics

Clean, transform, and prepare data from Workday and other systems for analysis and reporting.

Combine datasets from multiple sources while maintaining consistency and accuracy.

Build and maintain data models, including more advanced statistical or predictive models, that support scalable and efficient analysis.

Document data sources, logic, and definitions to support transparency and repeatability.

Operate within the data governance framework and standards the Senior Manager establishes, and help strengthen them as the function matures.

Ensure compliance with data privacy, security, and confidentiality requirements.

Validate data regularly and proactively identify risks related to data accuracy or misuse.

Maintain consistent definitions for key HR metrics and KPIs.

Partner with HR Business Partners, HR teams, and business stakeholders — including global stakeholders across regions and time zones — to gather requirements and deliver solutions.

Communicate data issues, insights, and recommendations clearly to both technical and non-technical audiences.

Help stakeholders understand how to use dashboards, interpret data, and trust the analysis behind it.

4+ years of experience in data analytics, people analytics, or a related field.

Working proficiency in Python or R, with real experience applying data science techniques (statistical modeling, predictive analytics, hypothesis testing) to real problems.

Strong hands-on experience with Microsoft Power BI, including dashboard development, performance tuning, and maintenance.

Solid experience working with Workday data, including understanding of HR data structures and reporting.

Proven ability to troubleshoot data and dashboard issues, including performance and data quality challenges.

Experience with data security concepts such as role-based access and data privacy.

Strong skills in data cleaning, transformation, and data modeling.

Comfort operating with autonomy within a framework - you take direction on standards and priorities, but are comfortable owning how the analysis gets done.

Curiosity about AI-assisted analytics tools and eagerness to help build and improve them.

Attention to detail and commitment to data accuracy and reliability.

Ability to communicate insights clearly and work collaboratively with cross-functional and global teams.

You'll play a genuinely analytical role in powering people decisions at Levi Strauss & Co. - not just building dashboards, but bringing real data science thinking to workforce questions. You'll work directly with Workday data, Power BI, and Python/R, helping build the first wave of AI-powered tools for the function, with real ownership over how you get to the answer.

At Levi Strauss & Co., we celebrate individuality and believe diverse perspectives make us stronger. Come help us tell the story of our people through data.