At a Glance
- Tasks: Profile, cleanse, and prepare legacy data for migration to NetSuite.
- Company: Fast-moving, people-first organisation focused on data quality transformation.
- Benefits: Competitive day rate, hybrid work model, and opportunity to impact significant projects.
- Other info: Hands-on role with excellent growth potential in a fast-paced environment.
- Why this job: Join a dynamic team and enhance your skills in data migration and ERP implementation.
- Qualifications: Experience with NetSuite ERP and strong Excel skills required.
One of our clients is looking for a NetSuite Data Analyst to support a new NetSuite ERP implementation.
Location: Hybrid with 2-3 days a week in Central London
Contract: Initial 6 months (Outside IR35)
Day Rate: £400-£500pd Outside IR35
Start: ASAP / urgent requirement
We are supporting a fast-moving, people-first organisation undergoing a significant transformation programme focused on improving data quality and implementing a new NetSuite ERP platform. This engagement sits within a broader finance and systems transformation, where the business is transitioning from multiple legacy data sources into a more structured and scalable environment. The focus is on improving data integrity, readiness, and consistency to support the successful rollout and ongoing use of NetSuite.
We are supporting the appointment of two interim Data Analysts to join a critical data workstream within a NetSuite programme. This is a hands-on delivery role, focused on profiling, cleansing, and preparing large volumes of legacy data for migration. The emphasis is on execution over oversight, requiring individuals who are comfortable working directly with complex datasets and driving tangible outputs. You will work closely with a Data Manager, SME, and Programme leadership to improve data quality, support validation processes, and ensure data is ready for migration into NetSuite.
Responsibilities
- Profile and assess data across multiple legacy systems, identifying quality issues and gaps
- Cleanse, standardise, and enrich datasets to align with target system requirements
- Support data migration activities into NetSuite, ensuring accuracy and completeness
- Execute data quality checks and validation processes ahead of migration cycles
- Build and maintain Excel-based analysis to support profiling and cleansing activities
- Work closely with the Data Manager to prioritise and resolve data issues
- Collaborate with SMEs and programme stakeholders to define and apply data standards
- Document data issues, assumptions, and resolutions clearly for audit and tracking purposes
- Support wider programme deliverables linked to data readiness and quality assurance
Requirements
Essential
- Must have NetSuite ERP experience (NetSuite NSPB even better)
- Strong Excel capability, including working with large and complex datasets
- Proven experience in data profiling, cleansing, and data quality improvement
- Hands-on approach with a focus on delivery and output
- Experience supporting data migration or transformation programmes
- Strong attention to detail and ability to identify inconsistencies within data
- Ability to operate independently within a fast-paced programme environment
This is an interim, outside IR35 position with some travel to a London office. If you feel like you have the skillset then feel free to apply with your latest CV.
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We think this is how you could land Data Migration Analyst in London
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We think you need these skills to ace Data Migration Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stanton House, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Stanton House, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Stanton House
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Stanton House.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Stanton House.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Stanton House.
