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Bengaluru, Karnataka, India
Onsite
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 clear, 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.
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.
Support Data Governance, Security, and Quality
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.
Collaborate and Communicate
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.
What You Bring
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.
Why You'll Love It Here
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.
Benefits
We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered.
Here's a small snapshot:
We are an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request.
To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.