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Agentic AI Atlas · HR / People Analytics Stack (Python, PostgreSQL, dbt, Metabase, FastAPI)
stack-profile:hr-people-analyticsa5c.ai
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HR / People Analytics Stack (Python, PostgreSQL, dbt, Metabase, FastAPI) overview

A people analytics platform for HR teams that consolidates headcount, attrition, compensation, and engagement data from HRIS sources into PostgreSQL, transforms it with dbt models into analytics-ready datasets, and exposes interactive dashboards via Metabase. FastAPI provides a programmatic API for custom integrations with recruiting tools and performance review systems. Pandas handles ad-hoc analysis notebooks. Designed for People Analytics teams in companies with 500+ employees who need self-serve workforce metrics without a full data warehouse. The tradeoff is data sensitivity — PII-heavy HR data demands strict access controls, row-level security, and audit logging that add operational overhead beyond a typical analytics stack.

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HR / People Analytics Stack (Python, PostgreSQL, dbt, Metabase, FastAPI)
description
A people analytics platform for HR teams that consolidates headcount, attrition, compensation, and engagement data from HRIS sources into PostgreSQL, transforms it with dbt models into analytics-ready datasets, and exposes interactive dashboards via Metabase. FastAPI provides a programmatic API for custom integrations with recruiting tools and performance review systems. Pandas handles ad-hoc analysis notebooks. Designed for People Analytics teams in companies with 500+ employees who need self-serve workforce metrics without a full data warehouse. The tradeoff is data sensitivity — PII-heavy HR data demands strict access controls, row-level security, and audit logging that add operational overhead beyond a typical analytics stack.
composes
  • language:python
  • framework:fastapi
  • library:sqlalchemy
  • library:pandas
  • library:pydantic
  • tool:docker

Outgoing edges

applies_to2
  • domain:human-resources·DomainHuman Resources
  • domain:business-intelligence·DomainBusiness Intelligence
composed_of7
  • language:python·LanguagePython
  • framework:fastapi·FrameworkFastAPI
  • library:sqlalchemy·LibrarySQLAlchemy
  • library:pandas·Librarypandas
  • library:pydantic·LibraryPydantic
  • tool:docker·ToolDocker
  • language:sql·LanguageSQL
follows_workflow2
  • workflow:dashboard-development-cycle·WorkflowDashboard Development Cycle
  • workflow:dbt-model-review·Workflowdbt Model Review
requires_skill_area5
  • skill-area:dbt-modeling·SkillAreadbt Modeling
  • skill-area:data-analytics·SkillAreaData Analytics
  • skill-area:statistical-analysis·SkillAreaStatistical Analysis
  • skill-area:backend-api-design·SkillAreaBackend API Design
  • skill-area:data-governance·SkillAreaData Governance
used_by_role3
  • role:data-analyst·RoleData Analyst
  • role:people-analytics-specialist·RolePeople Analytics Specialist
  • role:hr-manager·RoleHR Manager

Incoming edges

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