HR Data Analyst (m/f/n)

Posted 2 Days Ago
Be an Early Applicant
Warszawa, Mazowieckie, POL
Hybrid
Mid level
Logistics • Transportation
The Role
Support group-wide HR data consistency, reporting, and systems (e.g., SAP SuccessFactors). Analyze large HR datasets, align data structures, drive migrations, implement data governance, document mappings and playbooks, and communicate findings to non-technical stakeholders while ensuring GDPR compliance and protecting sensitive HR data.
Summary Generated by Built In
Company Description

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.

Job Description

We’re looking for an HR Data Analyst to work on group data review and alignment, supporting group-wide People & Culture (HR) data consistency, reporting, and systems (e.g. SAP SuccessFactors). This role will involve close cooperation with the Group HR Controller, country HR Heads, project teams, and multiple other technical and non-technical stakeholders.

Qualifications

Must have:

  • Understands and can align data types, structures and validations with business context, processes and needs
  • Has previous experience in at least one system migration project with responsibility for data
  • Can query and analyze large and varied datasets, spot inconsistencies and patterns, and formulate conclusions using SQL, Python, Databricks, PowerBI, Excel, and GenAI
  • Can design and implement data processes, monitoring and governance solutions
  • Demonstrates awareness of GDPR / data privacy regulations
  • Is able to work with and understands the sensitivity of HR personal data
  • Can document findings clearly, including data dictionaries, field mapping, playbooks and process write-ups
  • Communicates data findings and recommendations to non-technical stakeholders in a clear and structured way
  • Has strong analytical skills, complemented by attention to detail and a high standard for data accuracy
  • Proficient in Polish and English (C1 or higher)

 

Nice to have:

  • Previous experience working with data across multiple countries or legal entities
  • Practical experience with a global HRIS (HR Information System)
  • Knowledge of process mining or data-driven process improvement and/or hands-on process redesign experience
  • Lean Six Sigma certification (Green Belt / Black Belt) or BPM
  • Experience in building Power BI dashboards and views

Additional Information

Why InPost?

  • An international, cross‑functional environment with experienced engineering leaders.
  • The opportunity to work on products used by millions of users across Europe.
  • Real ownership and influence over teams, technical direction, and long‑term solutions.
  • Flexible working model with remote options in Poland.
  • A strong engineering culture focused on quality, collaboration, and impact.
  • We offer a B2B contract.

Skills Required

  • Understand and align data types, structures and validations with business context and processes
  • Previous experience in at least one system migration project with responsibility for data
  • Ability to query and analyze large and varied datasets using SQL, Python, Databricks, PowerBI, Excel, and GenAI
  • Design and implement data processes, monitoring and governance solutions
  • Awareness of GDPR and data privacy regulations
  • Ability to work with and understand sensitivity of HR personal data
  • Document findings clearly, including data dictionaries, field mapping, playbooks and process write-ups
  • Communicate data findings and recommendations to non-technical stakeholders clearly and structured
  • Strong analytical skills, attention to detail, and high standard for data accuracy
  • Proficient in Polish and English (C1 or higher)
  • Previous experience working with data across multiple countries or legal entities
  • Practical experience with a global HRIS
  • Knowledge of process mining or data-driven process improvement and/or hands-on process redesign
  • Lean Six Sigma certification (Green Belt / Black Belt) or BPM
  • Experience building Power BI dashboards and views
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The Company
Cracow
2,812 Employees
Year Founded: 2006

What We Do

InPost is the most successful operator of automated parcel lockers in Europe and also the one and only company in the world that is both a heavy operational user of APM machines as well as their manufacturer. InPost Parcel Lockers revolutionized the e-commerce delivery by providing a convenient way to send, collect and return parcels whenever the customer chooses, through a network of conveniently located and easy to use terminals.It is important for us to protect your personal data, our privacy policy can be found under the link: https://inpost.pl/ochrona-danych-osobowych

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