Job Description

D365 Data Business Analyst (Contract) - London / Hybrid

Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in the search for a Data Migration Business Analyst to join a major Dynamics 365 transformation programme. This role sits within a live data migration workstream, working closely with the Data Migration Project Manager and Programme Director, supporting delivery across the full migration lifecycle.

Assignment Details:

• Initial 6-month contract (with strong likelihood of extension)
• Start Date: 1 week turnaround (fast-track onboarding)
• Location: Hybrid (1-2 days per week in London)
• Rate: £500-550 p/day via FCSA Accredited Umbrella Company

Key Responsibilities:

• Supporting end-to-end data migration activities within a D365 programme
• Data mapping, transformation, and validation across multiple data sources
• Working closely with business and technical teams to define migration requirements
• Supporting governance, documentation, and stakeholder engagement
• Assisting with migration planning and execution across delivery phases

Required Experience:

• Strong experience as a Business Analyst on Dynamics 365 data migration programmes
• Solid understanding of data migration concepts (mapping, cleansing, transformation)
• Experience working within structured programme environments
• Strong stakeholder engagement across business and technical teams

All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification)

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: