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- Tasks: Build and run statistical models to forecast and analyse data trends.
- Company: Join a leading financial services firm in Basildon, UK.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact by transforming data into actionable insights for decision-making.
- Qualifications: Experience in statistical modelling, SQL, and advanced Excel skills required.
The predicted salary is between 50000 - 60000 £ per year.
Basildon, United Kingdom | Posted on 29/04/2026
This role will involve building and running statistical models, not just consuming outputs; comfortable writing reproducible, documented code for forecasting and modelling workflows.
- Statistical modelling – direct experience of building predictive or probabilistic models in a financial services or regulatory context; specifically, response rate modelling, volume projection under uncertainty, and sensitivity analysis.
- Customer response modelling – experience modelling consumer behaviour at scale; understanding of how response rates, opt-out rates, and engagement patterns are estimated and stress-tested across large populations with limited historical data.
- SQL – essential; querying large datasets to extract the populations and behavioural data.
- Excel – advanced; model outputs must be translatable into structured financial formats for Finance provision reporting and ExCo consumption.
- Time series and scenario analysis – ability to build multi-scenario forecast models with defined assumptions, clearly communicated uncertainty ranges, and version-controlled outputs as assumptions evolve.
- Power BI – ability to surface model outputs through MI dashboards, or similar, and reporting packs to a non-technical senior audience.
- Data validation and model governance – structured approach to assumption documentation, model versioning, and output checking; able to articulate model limitations clearly to a regulatory audience if required.
Senior Data Analyst in Essex employer: Deloitte - Recruitment
Contact Detail:
Deloitte - Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Essex
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and modelling. We recommend running through scenarios where you explain your past projects and how you tackled challenges with statistical models.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, including any predictive models or dashboards you've built. This will give potential employers a tangible sense of what you can do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analyst in Essex
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with statistical modelling, SQL, and Excel, as these are key for us. Use specific examples that showcase your skills in building predictive models and working with large datasets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention your experience with customer response modelling and how you can contribute to our team.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include any relevant projects or experiences where you've used SQL, Power BI, or advanced Excel. If you’ve built multi-scenario forecast models, let us know – we love that stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Deloitte - Recruitment
✨Know Your Models Inside Out
Make sure you can discuss your experience with statistical models in detail. Be ready to explain how you've built predictive models, especially in financial services. Brush up on response rate modelling and sensitivity analysis, as these are key areas for the role.
✨SQL Skills Are a Must
Since SQL is essential for this position, practice querying large datasets before your interview. Be prepared to demonstrate your ability to extract and manipulate data effectively. You might even want to bring examples of complex queries you've written in the past.
✨Excel Like a Pro
Advanced Excel skills are crucial, so ensure you're comfortable with financial reporting formats. Think about how you've translated model outputs into structured reports before, and be ready to discuss specific functions or techniques you've used to enhance your analyses.
✨Communicate Clearly with Non-Technical Audiences
You'll need to present your findings to senior management, so practice explaining complex concepts in simple terms. Prepare to showcase how you've created dashboards in Power BI or similar tools, and think about how you can convey uncertainty ranges and assumptions clearly.