At a Glance
- Tasks: Deliver actionable insights and predictive models to drive commercial strategy.
- Company: Join a leading consumer-focused organisation transforming data analytics.
- Benefits: Hybrid working, autonomy, and opportunities for innovation in analytics.
- Other info: Collaborative culture with high visibility across multiple commercial functions.
- Why this job: Shape strategic decisions and influence real business outcomes with data.
- Qualifications: Strong SQL skills, experience in Python or R, and a degree in a numerical discipline.
The predicted salary is between 45000 - 55000 £ per year.
We’re working with a highly recognised consumer‑focused organisation undergoing an exciting transformation in how it uses data, analytics and AI to drive commercial performance. This is a newly enhanced opportunity for a commercially minded Data Science Analyst to play a pivotal role in shaping strategic decisions across multiple revenue streams, products and customer journeys. This is far more than a reporting role. You’ll sit at the intersection of commercial strategy, advanced analytics and AI‑driven insight — partnering closely with senior stakeholders to influence pricing, forecasting, customer retention, revenue optimisation and long‑term growth.
The Opportunity
Joining a growing commercial analytics function, you’ll help evolve the organisation’s capability from traditional reporting into predictive, insight‑led decision making. You’ll work across a broad range of commercial areas including customer membership, digital products, travel and leisure services, financial products and customer loyalty — using data to unlock growth opportunities and improve customer lifetime value. The role offers a genuine chance to shape the future analytics roadmap, introduce modern data science techniques and champion AI adoption across the wider business.
What You’ll Be Doing
- Delivering commercially focused analysis and actionable insight to senior stakeholders
- Building predictive models to support customer retention, acquisition and propensity analysis
- Developing forecasting models for demand, occupancy, revenue and performance trends
- Creating dashboards and performance reporting that drive strategic decision making
- Conducting root‑cause analysis to identify opportunities, risks and commercial drivers
- Supporting pricing, promotions and scenario‑modeling initiatives
- Working with large and varied datasets across multiple systems and business functions
- Driving AI and automation initiatives to improve insight generation and operational efficiency
- Helping shape best practice around data quality, governance and analytics capability
What We’re Looking For
We’re looking for someone who combines strong technical capability with genuine commercial curiosity. You’ll likely have experience in a commercial analytics, data science or insight‑focused role where you’ve worked closely with business stakeholders and translated complex data into meaningful action.
Key Skills & Experience
- Strong SQL and advanced data manipulation skills
- Experience using Python or R for predictive modelling and machine learning
- Knowledge of models such as Random Forest, XGBoost or similar
- Strong BI and dashboarding capability (Tableau, Power BI or similar)
- Advanced Excel modelling and scenario analysis skills
- Experience with forecasting, segmentation or propensity modelling
- Ability to communicate complex insights clearly to non‑technical audiences
- Commercial awareness and an understanding of business performance drivers
- Interest or experience in AI/LLM technologies and automation
- Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or Physics
Why This Role Stands Out
- Opportunity to influence commercial strategy at a senior level
- Broad, varied analytics environment with real business impact
- Strong focus on innovation, predictive analytics and AI
- High visibility across multiple commercial functions
- Opportunity to help shape and modernise the organisation’s data capability
- Hybrid working and collaborative culture
- Genuine autonomy and ownership
If you’re looking for a role where you can combine commercial thinking, advanced analytics and modern AI‑driven insight to influence real business outcomes, we’d love to hear from you.
Data Analyst in East Grinstead employer: James Chase
Join a leading consumer-focused organisation that values innovation and collaboration, offering a dynamic work environment where your insights will directly influence commercial strategy. With a strong emphasis on employee growth, you will have the opportunity to shape the future of analytics while enjoying hybrid working arrangements and a culture that champions autonomy and creativity. This role not only allows you to leverage advanced data science techniques but also positions you at the forefront of AI adoption, making it an exciting place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in East Grinstead
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects. Use platforms like GitHub to share your code and visualisations. This way, when you land that interview, you can demonstrate your skills and make a lasting impression.
✨Ace the Interview
Prepare for common data analyst interview questions, but also be ready to discuss how you've used data to drive business decisions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop about exciting opportunities in commercial analytics and AI-driven insights!
We think you need these skills to ace Data Analyst in East Grinstead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analyst. Highlight your experience with SQL, Python, and any predictive modelling you've done. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your commercial curiosity can drive insights. Let us know how you can influence strategic decisions!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of your predictive models or dashboards. We love seeing how you've used data to unlock growth opportunities in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at James Chase
✨Know Your Data Tools
Make sure you’re well-versed in SQL, Python, or R, as these are crucial for the role. Brush up on your predictive modelling techniques and be ready to discuss how you've used them in past projects.
✨Understand the Business
Familiarise yourself with the company’s commercial strategy and how data analytics plays a role in it. Be prepared to discuss how your insights can drive decisions in areas like pricing and customer retention.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems using data. Practice explaining your thought process clearly, especially when discussing complex models or analytics techniques.
✨Show Your Curiosity
Demonstrate your genuine interest in AI and modern data science techniques. Share examples of how you’ve kept up with industry trends and how you envision applying them to enhance the organisation's analytics capabilities.
