Senior Analyst — People & Workforce Intelligence (PWI) (d/f/m)

Personio

Berlin

Hybrid

EUR 90.000 - 130.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Pre-IPO equity
28 days paid vacation + tenure days
Flexible work arrangements

Zusammenfassung

Personio is hiring a Senior Analyst — PWI to architect data foundations and deliver analytical insights for People leadership. You will own dbt models, build reliable data pipelines, and turn data into decision-ready recommendations.

You will collaborate with PBPs to connect HRIS, absence, attendance, and related data sources, enabling self-serve analytics across the people domain. Expect a hybrid, office-based role with multiple location options.

Qualifikationen

  • 5+ years in analytics engineering or analytics, or a hybrid of both.
  • Expert-level dbt: built models from raw sources, tests, documentation, lineage end-to-end.
  • Strong SQL: complex queries, performance optimization in a Snowflake warehouse.
  • Analytical rigour: structure problems into hypotheses and metrics that drive decisions.
  • Clear communicator: translate data for non-technical stakeholders and write usable docs.
  • Experience with BI tooling (HEX, Tableau, Looker or equivalent).
  • Comfortable with Git/version-controlled codebases daily.
  • High ownership: diagnose root causes and drive independent work.

Aufgaben

  • Build and own dbt models end-to-end for the PWI domain, covering HRIS, headcount, absence, attendance, and related data.
  • Design and maintain scalable Snowflake warehouse schemas with clear data lineage and documentation.
  • Define, document, and steward KPI logic and semantic layer for people data.
  • Deliver structured analysis on headcount, attrition, absence, org design, and compensation for leadership.
  • Build and maintain dashboards and reporting for self-service use by stakeholders.
  • Support MBR/QBR cycles with data storytelling and prescriptive insights.
  • Partner with PBPs to identify data gaps and improve data quality over time.

Kenntnisse

Analytics experience
SQL
Data storytelling
Communication
Ownership

Tools

dbt
Snowflake
Git
HEX
Tableau
Looker

Jobbeschreibung

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time‑moving tasks simple and efficient. Our team of 1,500 Personios is building user‑friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

This role requires 2 days per week in the office and is based in Munich, Berlin or Dublin.

We empower Personio's decision‑making with reliable data and strategic insights, while improving productivity through scalable infrastructure and automation. Be part of our transformative journey in HR technology, where your contributions shape how a leading people‑management platform understands its own workforce.

The Senior Analyst — PWI sits within the Data, Systems & AI department and partners closely with the People & Workplace Intelligence (PWI) function. This role combines two capabilities that are most powerful together: building the data foundations that make reliable analysis possible, and delivering the analysis itself. You own the infrastructure — writing dbt models from raw sources — and you own the insight: turning that data into clear recommendations for People leadership and partners.

You will work closely with PBPs and People leadership to connect people data sources — HRIS, absence and attendance systems, and others — and enable a self‑serve analytics capability across the people domain.

What You'll Do
Data Foundations
  • Build and own dbt models end‑to‑end — from raw source ingestion through to staging, intermediate, and reporting layers — for the PWI domain, covering HRIS, headcount, absence, attendance, and adjacent people data sources.
  • Design and maintain scalable warehouse schemas in Snowflake, with clear data lineage, documentation, and version‑controlled code (Git).
  • Define, document, and steward metric definitions and the semantic layer for people data, ensuring reliable KPI logic and metric consistency across the domain.
  • Implement data quality testing, monitoring, and alerting so that data issues are caught early and fixed proactively — not discovered by stakeholders.
Analytical Delivery
  • Deliver structured analysis on headcount, attrition, absence and attendance, org design, manager effectiveness, and compensation for PBPs and PWI leadership — forming clear hypotheses and producing decision‑ready outputs, not just data dumps.
  • Build and maintain intuitive dashboards and reporting that allow stakeholders to self‑serve on day‑to‑day questions without requiring analyst involvement.
  • Support MBR and QBR cycles with data storytelling: own the narrative, not just the numbers.
  • Partner with PBPs to diagnose root‑cause data gaps, translate urgent business needs into analytical deliverables, and systematically improve the quality of people data over time.
Stakeholder Partnership
  • Act as the embedded analytical partner for the PWI function — showing up proactively, anticipating needs, and flagging risks before they escalated.
  • Present findings directly to People leadership with confident, prescriptive recommendations.
  • Enable PBPs to work more independently with data through documentation, self‑serve tools, and direct coaching.
Must‑haves
  • 5+ years in analytics engineering, analytics, or a hybrid of both — you have done both the building and the analysis, not just one side.
  • Expert‑level dbt: you have built models from raw source data, written tests, managed documentation, and understand lineage end‑to‑end — not just maintained existing models.
  • Strong SQL: complex queries, performance optimisation, ability to work across a Snowflake‑based data warehouse without hand‑holding.
  • Analytical rigour: you structure ambiguous problems into hypotheses, identify the right metrics, and produce outputs that lead to decisions — not more questions.
  • Clear communicator: you translate data into plain language for non‑technical stakeholders, present confidently, and write documentation that people actually use.
  • Experience with BI tooling (HEX, Tableau, Looker, or equivalent) for building stakeholder‑facing dashboards and reporting.
  • Comfortable with Git and version‑controlled codebases as a daily practice.
  • High ownership: you diagnose root causes, drive work independently, and don't wait to be told what matters next.
Nice to have
  • Experience with people/HRIS data — Workday, BambooHR, or similar compensation and benefits tooling.
  • Python for analytical workflows and automation.
  • Exposure to AI/LLM tooling (Claude, GPT) for insight generation or workflow automation.
Why Personio

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values‑driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

At Personio, we value in‑person collaboration while also offering flexibility. This role is office‑based, with 3 days per week required in your contracted office location. The remaining days can be worked from home or in the office if you prefer. In addition, you’ll have 20 Flex Days per year to work remotely from other locations.

Benefits
  • Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre‑IPO equity.
  • Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years.
  • Make an impact on the environment and society with 1 (fully paid) Impact Day.
  • Receive generous family leave, child support, mental health support, and sabbatical opportunities.
  • We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year‑end celebrations. There are also healthy snacks, drinks, and a weekly catered lunch.
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