HR Data Analyst - HRIS Transformation Programme

Senior Data Analyst - HRIS Transformation Programme

We are looking for an experienced Senior Data Analyst to play a key role in a large-scale HRIS system transformation programme. Working across HR, Technology and Data Governance workstreams, this is a critical role for an organisation committed to building a robust, future-ready HR data landscape.

What You'll Do

• Map and analyse the current HR data landscape, translating complex business requirements and disparate data sources into clear data specifications.
• Partner with Data Governance leads and a Data Architect to define data ownership, stewardship, quality rules and support development of conceptual, logical and physical data models.
• Lead the development of data validation rules, quality checkpoints, data profiling and integrity checks across all HR datasets.
• Design and execute data migration plans in close collaboration with HRIS vendors and technology teams, including defining transformation rules and mapping specifications from Legacy systems.
• Support migration testing cycles including SIT, UAT and parallel runs, with full data reconciliation.
• Contribute to data dictionaries, business glossaries and metadata standards.
• Support RFP processes, assessing prospective vendors against organisational data needs.
• Enable future HR reporting and analytics by ensuring HRIS design and data models support strategic reporting requirements across workforce, payroll, reward, talent and EDI functions.
• Translate complex data concepts into clear, business-friendly documentation for non-technical stakeholders.

What You'll Bring

• Proven experience as a Senior Data Analyst, with strong knowledge of HR data, best practices and regulatory requirements.
• Hands-on experience on an HRIS or large-scale ERP transformation programme in a similar capacity.
• Knowledge of data modelling practices including conceptual and logical model creation.
• Proven experience in data migration for large-scale HR or ERP systems.
• Familiarity with data governance principles including data ownership, stewardship and quality frameworks.
• Proficiency with SQL, Excel and PowerBI.
• Strong documentation skills and the ability to communicate complex data concepts to non-technical audiences.
• Knowledge of modern data warehouses, data lakes or data lakehouses is beneficial.