Senior Data Analyst, People
The Senior Data Analyst will build People analytics models, metrics, dashboards, and decision frameworks across the employee lifecycle. The role requires 5+ years of analytical experience, advanced SQL and data modeling, strong business intelligence skills, and excellent stakeholder communication.
About the job
Responsibilities
- Define and own core People metrics covering headcount, hiring, retention, organizational health, employee experience, and talent development.
- Build canonical datasets, analytical models, self-service tools, and dashboards for People teams and leaders.
- Translate analyses into clear narratives and recommendations for operators and executive leaders.
- Partner with Engineers to improve HRIS and ATS connectors.
- Establish practices for data quality, governance, privacy, appropriate access, and responsible use of sensitive employee data.
- Analyze complex datasets to identify trends, opportunities, and actionable recommendations.
- Mentor analysts and partners and strengthen analytical best practices and data fluency.
Requirements
- 5+ years of experience in analytics, data science, business intelligence, or a related analytical role.
- Advanced SQL and data modeling proficiency across large, complex datasets.
- Experience with Looker, Tableau, Sigma, or similar business intelligence and visualization tools.
- Strong analytical judgment, attention to detail, communication, and data storytelling skills.
- Ability to turn ambiguous business questions into structured analyses and actionable recommendations.
- Experience owning analytical problems end-to-end and building scalable frameworks, datasets, and tools.
- Strong cross-functional collaboration skills with technical and non-technical partners.
- Experience using analytics to support business decisions, preferably in a high-growth, SaaS, or B2B product company.
Nice-to-haves
- People Analytics, workforce analytics, recruiting analytics, or HR strategy experience.
- Familiarity with HRIS, ATS, performance management, engagement, or learning systems.
Technologies
- SQL
- BigQuery
- Snowflake
- dbt
- Looker
- LookML
- Sigma
- Hex
- Google Sheets
- Claude Code
- Codex
Compensation and Benefits
- Oakland pay range: $156,082–$195,102.50 USD.
- 100% employer-paid medical insurance.
- Paid time off, paid sick time, parental leave, holidays, and volunteer days.
- RSU stock grants.
- Professional development and training opportunities.
- Virtual events, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform for covered employees and dependents.
Skills
SQL, BigQuery, Snowflake, dbt, Looker, Lookml, Sigma, Hex, Google Sheets, Claude Code, Codex, HRIS, ATS, Data Modeling
Similar jobs
Data Analytics jobsDevelops rigorous revenue attribution, forecasting, and financial models while building scalable analytical infrastructure for Finance and executive decision-making. Requires 4+ years of analytical experience, advanced SQL and data modeling, strong quantitative reasoning, and business intelligence expertise.
Leads marketing analytics for global performance campaigns by developing measurement approaches, optimizing acquisition through data, and translating complex analyses into actionable marketing decisions. Requires a STEM bachelor’s degree, strong SQL and visualization skills, and experience with digital campaign data.
This role combines data analysis and dbt-based data modeling to improve growth, monetization, pricing, and product-led sales initiatives. It requires 8+ years in an analytical data role, strong SQL and dbt knowledge, and experience with data warehouses and ELT pipelines.
Manages an internal product analytics team that supports product managers and leadership through recurring analysis, trusted metrics, and AI-powered workflows. Requires 6+ years in analytics, 2+ years leading teams, strong SQL and data warehouse skills, and senior stakeholder experience.
Own retention and SaaS analytics for SpotOn’s merchant business, uncovering churn and adoption drivers and building trusted reporting for executive and cross-functional decisions. The role requires 5+ years of analytical experience, advanced SQL, cloud data warehouse expertise, and strong business communication.