At a Glance
- Tasks: Join a high-profile data transformation programme, translating business needs into scalable data solutions.
- Company: Dynamic enterprise focused on finance and customer data transformation.
- Benefits: Competitive daily rate, hybrid working, and long-term contract until December 2026.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Make a real impact in shaping enterprise data solutions and enhancing business value.
- Qualifications: Strong finance domain experience and proven skills in business analysis and data modelling.
The predicted salary is between 70000 - 90000 £ per year.
Senior Data Business Analyst (Finance)
£475 per day (Outside IR35) with flexibility for exceptional experience. Hybrid working – 1 day per week in central London. Initial contract until December 2026.
We're supporting a major enterprise transformation programme and are seeking experienced Senior Data Business Analysts (Finance) to join a high‑profile data transformation programme.
Both positions will support the Finance and Customer workstreams, partnering with business stakeholders and technology teams to deliver enterprise‑wide reporting and data solutions.
Exposure to both domains is advantageous, but strong Finance domain experience is the higher priority.
These highly visible roles sit between business stakeholders, data teams and technology functions.
You will translate complex business requirements into scalable data solutions, ensuring transformation deliverables are embedded into business as usual operations.
We also welcome applicants who have operated in a hybrid Business Analyst/Product Owner capacity, particularly within complex enterprise data transformation programmes.
What we're looking for
We're particularly interested in Business Analysts who understand how business requirements translate into data models rather than simply reporting or process mapping.
- Proven experience delivering Business Analysis within large‑scale enterprise transformation programmes.
- Strong Finance domain experience, ideally within reporting, analytics or transformation initiatives.
- Experience within Customer, CRM or Marketing Analytics environments is preferable but not essential.
- Proven experience eliciting requirements through workshops, stakeholder interviews and discovery sessions.
- Translating business requirements into logical data models, source system mappings and reporting solutions.
- Strong SQL skills with the ability to interrogate, validate and analyse complex datasets.
- Defining KPIs, business rules and reporting standards.
- Supporting UAT, business validation and business sign‑off.
- Excellent stakeholder management across both business and technical teams.
- Finance Domain Experience
- Finance transformation programmes.
- ERP or Finance system migrations.
- Financial reporting and management information.
- Finance data modelling and KPI definition.
- Budgeting, forecasting and financial performance reporting.
- Working closely with Finance stakeholders to define reporting requirements.
- Highly Desirable
- Strong understanding of data modelling concepts.
- Experience mapping requirements back to source system tables and fields.
- Experience developing reporting data dictionaries and business glossaries.
- Experience with Power BI semantic models and reporting datasets.
- Understanding of ETL processes and data transformation.
- Experience within reporting, analytics or data warehouse environments.
- Agile, Waterfall or hybrid delivery methodologies.
- Customer Domain Experience (Advantageous)
- Marketing Analytics.
- Adobe Analytics or Adobe Experience Cloud.
- Microsoft Dynamics 365 (D365).
- CRM and customer data platforms.
- Customer reporting and performance analytics.
This is an excellent opportunity to join a high‑profile enterprise transformation programme where you'll shape enterprise data solutions across both the Finance and Customer workstreams.
Working closely with business and technical stakeholders, you'll help ensure reporting, KPIs, data models and business requirements are translated into scalable, high‑quality solutions that deliver lasting business value.
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StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Business Analyst in London
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We think you need these skills to ace Finance Data Business Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Henderson Scott, 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.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
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 Henderson Scott, 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 Henderson Scott
✨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 Henderson Scott.
✨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 Henderson Scott.
✨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 Henderson Scott.
