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For Companies At a Glance
- Tasks: Extract, clean, and present data for informed business decisions.
- Company: PE-backed business focused on performance improvement.
- Benefits: Competitive salary, bonus, and hybrid working model.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong data analysis skills and experience with Power BI.
- Other info: Opportunity to work autonomously in a dynamic environment.
The predicted salary is between 55000 - 60000 £ per year.
Location: Hybrid (c.3 days per week on‑site, Midlands)
Salary: £55,000-£60,000 + Bonus
Reporting to: Senior Finance Lead
Type: Permanent
The role
This is a hands‑on analytics role within a PE‑backed business that is currently under performance scrutiny and therefore requires robust, defensible reporting and analysis. The focus of the role is not advanced data science or marginal optimisation. Instead, it is about extracting, cleaning, transforming and presenting data so senior leadership and investors can clearly understand what is happening in the business and make informed decisions. The business currently relies on manual weekly reporting and needs someone to own and improve this end‑to‑end, while gradually moving reporting into a more automated, Power BI‑led environment.
What you'll be responsible for:
- Extracting data from an ERP system (e.g. NetSuite)
- Transforming and validating data using tools such as Alteryx or SQL‑based workflows
- Producing accurate, repeatable weekly reporting for PE stakeholders
- Reducing reliance on manual Excel processes through automation
- Building Power BI outputs once data has been cleaned and structured
- Supporting senior management with ad‑hoc analysis ahead of key meetings
- Translating raw data into clear, understandable outputs that non‑technical stakeholders can use
- Supporting analysis around commercial and cost drivers (e.g. warranty costs) with material business impact
What the business is looking for:
- Strong data analysis capability with a focus on accuracy and data quality
- Power BI experience (important, but not at the expense of data control)
- Experience using data transformation tools (Alteryx preferred, SQL acceptable)
- Comfortable working with imperfect data and cleaning it before reporting
- Able to work autonomously in a hands‑on individual contributor role
- Comfortable operating in a PE‑backed environment with regular performance reporting
- Pragmatic, commercially aware, and able to explain what the data is saying, not just produce dashboards
Commerical Data Analyst in England employer: SF Recruitment
Contact Detail:
SF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commerical Data Analyst in England
✨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 put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data analysis skills. Be ready to discuss how you've transformed and presented data in past roles, especially using tools like Power BI and Alteryx.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and match your skills, like the Commercial Data Analyst position.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show your genuine interest in the role.
We think you need these skills to ace Commerical Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Commercial Data Analyst. Highlight your experience with data extraction, transformation, and reporting, especially if you've worked with tools like Alteryx or Power BI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've improved reporting processes or handled data in a previous job, and show us your passion for data analysis.
Showcase Your Analytical Skills: In your application, emphasise your strong data analysis capabilities. We want to see how you ensure accuracy and quality in your work, so don’t shy away from mentioning any relevant projects or achievements.
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 SF Recruitment
✨Know Your Data Tools
Make sure you brush up on your skills with Alteryx and SQL. Be ready to discuss how you've used these tools in the past to clean and transform data. It’s all about showing that you can handle imperfect data and still deliver accurate reports.
✨Showcase Your Reporting Skills
Prepare examples of your previous reporting work, especially any experience with Power BI. Highlight how you’ve improved reporting processes or automated manual tasks. This will demonstrate your ability to take ownership of reporting and make it more efficient.
✨Understand the Business Context
Familiarise yourself with the company’s performance scrutiny and what that means for the role. Be ready to discuss how your analytical skills can help senior leadership make informed decisions. Showing that you understand the bigger picture will set you apart.
✨Communicate Clearly
Practice translating complex data insights into simple, understandable terms. You’ll need to explain your findings to non-technical stakeholders, so being able to communicate effectively is key. Think of examples where you’ve done this successfully in the past.
