(Senior) HR Data & Analytics Specialist

O projekcie About Falck

For more than a century, Falck has delivered healthcare and emergency services that save and improve people’s lives. Today, more than 25,000 colleagues provide care and assistance to people in need across 25 countries.

As Falck continues to advance sustainable healthcare, reliable people data is essential. It supports effective HR processes, trusted reporting, workforce decisions, and the successful delivery of our global People & Culture agenda.

About the Job

Do you want to help shape the foundation our people data stands on?

We are looking for an HR Data & Analytics Specialist to join our Global People & Culture Operations team and support the implementation and ongoing operation of Oracle Fusion Cloud HCM across 25 countries.

In this role, you will lead and coordinate activities that ensure our employee data is accurate, complete, well-structured, secure, and fit for use. You will play a central role in data migration, data quality, governance, validation, and ongoing data-load processes.

In collaboration with your colleagues in Global P&C Operations, you will partner closely with P&C colleagues in our Regions. Together, you will help establish a reliable and sustainable people-data capability for Falck.

Working at Falck

You will become part of a global People & Culture Operations team working across countries, functions, and professional disciplines.

At Falck, we are committed to care, we build trust, and together we create more value. In this role, you will contribute by creating the reliable data foundation that enables our people processes, supports better decisions, and helps Falck deliver on its strategy.

We do not expect you to know everything from day one. What matters most is that you are curious, structured, collaborative, and comfortable working across international teams and shifting priorities.

Zakres obowiązków

• Lead and coordinate data migration activities for the Oracle Fusion Cloud HCM implementation and country rollouts, including data extraction, profiling, cleansing, transformation, mapping, validation, reconciliation, testing, cutover, production loads, and post-go-live stabilisation.
• Prepare and execute recurring, test, mock-conversion, cutover, and production data loads, ensuring activities meet agreed timelines, acceptance criteria, and data-quality thresholds.
• Establish and monitor data-quality checks across core P&C data, covering completeness, consistency, accuracy, timeliness, validation rules, exception handling, reconciliation, and control evidence.
• Define and maintain data standards, taxonomies, data dictionaries, field-level definitions, transformation logic, and data-quality procedures ensuring that our documentation is clear and audit-ready.
• Support data ownership, stewardship, escalation, and governance processes while balancing global standards with legal local country requirements and ensuring variations are documented and controlled.
• Produce status updates, issue logs, risk assessments, and escalation summaries, and support knowledge transfer to P&C Operations and country HR teams to ensure consistent and sustainable data operations.

Wymagania About You

You are structured, curious, and comfortable working with both data and people. You have a methodical approach to problem-solving, and you are able to manage detailed operational work while keeping sight of the broader business outcome.

We imagine that you bring

• Experience in HR data management, HRIS, data operations, or data migration, including hands-on experience with data loads and the extraction, cleansing, transformation, mapping, validation, and reconciliation of complex datasets.
• Experience in HRIS system such as Oracle, Workday, SuccessFactors
• Strong SQL and advanced Excel skills, combined with experience using data-quality, data-transformation, or similar tools.
• Experience working with sensitive employee data in a controlled environment, with a strong understanding of data quality, data governance, and data-management principles.
• The ability to analyse data issues, identify root causes, communicate solutions clearly, and document technical processes, mapping logic, controls, and operating procedures.
• The ability to work effectively with technical and non-technical stakeholders, supported by strong written and verbal communication skills in English.

Nice to have

• Experience in data governance
• Knowledge how to improve data quality
• Understanding of data foundation and data loads
• Experience in setting of standards