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Data Migration Analyst
Inizio
London, England, United KingdomOn Site
Original Job Summary
About the Role
Data Migration Analyst position at Inizio on a 6-month fixed term contract with ApotheCom, a leader in medical communications. Reporting to the Finance Director, this role supports the seamless and accurate migration of data from Deltek Maconomy into Oracle ERP systems. The role requires a strong understanding of financial data structures and experience in ERP systems.
Key Responsibilities:
- Lead data migration activities from Maconomy to Oracle Fusion.
- Collaborate with functional and technical teams on strategy and timelines.
- Execute ETL processes ensuring data integrity and alignment with Oracle standards.
- Document data migration processes and mapping logic.
- Conduct data quality checks and reconcile discrepancies.
- Support testing cycles including SIT and UAT.
- Ensure compliance with data governance and privacy policies.
- Provide regular updates to the project team and senior stakeholders.
About You:
- Experience with data migration projects and ERP systems.
- Strong understanding of financial, project, HR, and procurement modules.
- Excellent problem-solving, attention to detail, and communication skills.
- Ability to manage multiple priorities in a deadline-driven environment.
- Commitment to diversity and inclusion in the workplace.
Key Skills/Competency
Data Migration Analyst, ETL, Oracle ERP, Maconomy, Data Integrity, Data Governance, Financial Data, Documentation, Testing, Collaboration
How to Get Hired at Inizio
🎯 Tips for Getting Hired
- Research Inizio's culture: Study their mission and recent news online.
- Customize your resume: Highlight ERP and ETL project experience.
- Demonstrate technical skills: Showcase data migration and ERP expertise.
- Prepare for interviews: Focus on problem-solving and communication.
📝 Interview Preparation Advice
Technical Preparation
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Review ERP system documentation.
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Practice ETL and data transformation.
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Familiarize with Maconomy and Oracle.
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Study data validation techniques.
Behavioral Questions
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Describe handling tight deadlines.
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Explain teamwork in data projects.
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Give example of problem solving.
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Detail communication under pressure.