Data Scientist – Analytics Engineer
Fifth Third Bank
PythonSQL
Analytics Engineer, People Data
OpenAI
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $220,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowBigQueryCloudPythonSQLTableau
About the role
- Hands-on owner of People analytics database: model, transform, test, and document HR data to deliver trustworthy data foundations
- Build and own canonical People data models (employee, org/role, movement, recruiting funnel, comp history, mobility) in dbt with SCD handling, tests, docs, and data contracts
- Partner with Data Platform/IT to ingest HRIS/ATS/Payroll/ID data; own the T in ELT (dbt), tests, and data contracts
- Define a metrics/semantic layer and ship curated marts for the Head of People Analytics; enable self-serve via BI (Looker/Mode/Hex/Tableau)
- Implement privacy-by-design (PII minimization, RBAC), lineage, and governance in partnership with Legal/Privacy/Security
- Manage analytics CI/CD (Git, code review, environments, releases) and maintain runbooks, dictionaries, and lineage docs
- Collaborate within People Systems team and report to Head of People Experience & Technology
Requirements
- 5+ years as a HR IT, Analytics or Data Engineer (or equivalent) delivering production-grade HR data models and durable data products (governed marts, semantic layers, APIs etc.)
- Expert SQL; deep experience with dbt and dimensional/event-temporal modeling
- Proficient in Python for transforms/automation (not ML platform work)
- Hands-on with a cloud warehouse (Snowflake/BigQuery) and an orchestrator (Dagster/Prefect/Airflow)
- Track record integrating HRIS/ATS/payroll/identity sources and hardening metrics for exec-level decisions
- Experience building canonical People data models with SCD handling, tests, docs, and data contracts
- Strong stakeholder communication; asks the right questions to understand business context
- Working knowledge of GDPR/CCPA, data minimization, and access management
