Senior Analyst, People Analytics
Analyzes workforce data, builds dashboards, performs statistical and predictive analysis, and applies NLP and generative AI to employee feedback. Requires a bachelor's degree and 3–5 years of analytics experience, with strong SQL, Tableau, Snowflake, and HR-platform expertise.
About the job
Responsibilities
People Analytics & Reporting
- Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition.
- Develop and maintain dashboards, scorecards, and recurring workforce reports.
- Respond to ad hoc analytics requests and translate business questions into data-driven recommendations.
- Partner with People Business Partners and HR Centers of Excellence on workforce planning, talent reviews, and organizational health discussions.
- Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency.
- Present findings through clear visualizations and concise business summaries.
Workforce Analytics
- Perform statistical analyses to identify workforce trends, risks, and opportunities.
- Support predictive models for workforce planning, attrition, and employee lifecycle analytics.
- Assist with workforce forecasting and organizational reporting using quantitative analysis.
- Recommend improvements to reporting automation and analytics processes.
- Contribute to improvements in People Analytics methodologies and reporting practices.
AI & Employee Listening Analytics
- Analyze employee survey data and feedback to identify trends, themes, and improvement opportunities.
- Apply Natural Language Processing techniques, including sentiment analysis and text analytics, to summarize employee feedback.
- Support AI-enabled analytics capabilities that improve reporting efficiency and insight generation.
- Contribute to automated reporting and narrative insights using Generative AI tools where appropriate.
Requirements
- Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, Human Resources, or a related field, or an equivalent combination of education and experience.
- 3–5 years of experience in People Analytics, HR Analytics, Business Analytics, Data Analytics, or a related field.
- Advanced proficiency in Tableau, Snowflake, Excel, SQL, and enterprise HR platforms such as Workday, ServiceNow, or Greenhouse.
- Working knowledge of regression, forecasting, segmentation, and trend analysis.
- Experience analyzing large datasets and ensuring data accuracy and integrity.
- Strong analytical, problem-solving, communication, and organizational skills.
- Experience developing dashboards and visualizations for business audiences.
- Ability to partner effectively with HR stakeholders and cross-functional teams.
Nice-to-Haves
- Experience using Python or R for data analysis.
- Familiarity with Natural Language Processing, Generative AI, or machine learning concepts.
Skills
Tableau, Snowflake, Excel, SQL, Workday, Servicenow, Greenhouse, Python, R, Regression, Forecasting, Segmentation, Natural Language Processing, Generative AI, Machine Learning
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