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- Tasks: Analyse data to drive revenue performance and support business growth.
- Company: Fast-paced commercial function with a focus on data-led decision-making.
- Benefits: Competitive salary, 25 days leave, hybrid work, and mental health support.
- Other info: Dynamic role with excellent career growth and a supportive team environment.
- Why this job: Make an impact by optimising revenue and identifying new commercial opportunities.
- Qualifications: Experience in analysis, strong Excel skills, and ability to present insights.
The predicted salary is between 45000 - 60000 £ per year.
This role provides key analytical support to a fast-paced commercial function, delivering insight, forecasting, and strategy to optimise revenue performance and support business growth. The Commercial Analyst will play a central role in data-led decision-making, working across multiple stakeholders to drive efficiency, improve performance, and identify new commercial opportunities.
Responsibilities:
- Analyse multiple data sources to deliver insight into revenue, customer behaviour, and market performance.
- Produce detailed forecasts and budgets across volume, revenue, and yield, identifying risks and opportunities.
- Optimise revenue streams through robust analysis, identifying trends and forecasting performance against targets.
- Support pricing strategy by delivering actionable revenue data to maximise yield and inventory utilisation.
- Analyse demand patterns (new, existing, repeat business) and competitor activity to inform commercial decisions.
- Provide insight into wider market conditions, including economic and external factors impacting demand.
- Review business plans, identify performance gaps, and recommend proactive actions to meet capacity and revenue targets.
- Deliver clear, concise reporting and present findings to senior stakeholders, influencing decision-making.
- Work closely with finance teams to ensure accurate revenue allocation and robust performance reporting.
- Conduct ad hoc analysis on key commercial priorities and strategic initiatives.
- Develop a strong understanding of market dynamics to recommend appropriate competitive responses.
- Assess initiatives and opportunities, providing insight to support strategic planning and decision-making.
Skills & Experience:
- Proven experience in a commercial analyst, revenue management, or forecasting role.
- Strong analytical capability with experience handling large datasets and applying forecasting techniques.
- Ability to translate complex data into clear, actionable insights for non-technical audiences.
- Experience presenting to and influencing senior stakeholders.
- Strong commercial awareness and understanding of key business drivers and performance indicators.
- Advanced Microsoft Excel skills and experience with SQL and Power BI.
- Excellent organisational skills with the ability to manage multiple priorities under pressure.
- Proactive, inquisitive mindset with strong problem-solving abilities.
- Relevant analytical or numerical qualification.
- Knowledge of revenue management systems or tools.
- Experience analysing market, competitor, or economic data.
Location & Eligibility:
This is a hybrid role requiring 1 day per week at Leeds HQ. Applicants must have full UK right to work; visa sponsorship is not available.
Remuneration & Benefits:
Salary of £45,000 – £60,000 depending on experience. 25 days annual leave plus bank holidays. Hybrid working arrangements. Pension, share scheme eligibility, life assurance. Employee Assistance Programme – 24/7 mental health and wellbeing support.
Commercial Data Analyst in Leeds employer: MSA Data Analytics Ltd
Contact Detail:
MSA Data Analytics Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Analyst in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, 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 your data storytelling skills. Be ready to explain how your analytical insights have driven decisions in the past. We want to see how you can turn numbers into narratives!
✨Tip Number 3
Showcase your skills with a portfolio! If you've done any relevant projects or analyses, compile them into a neat presentation. This will help us see your capabilities in action and how you can add value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Commercial Data Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Commercial Data Analyst. Highlight your analytical skills and experience with large datasets, as well as any relevant tools like SQL or Power BI. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your previous experiences align with our goals at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Include examples of how you've used data to drive decisions or improve performance in past roles. We’re looking for those actionable insights that can make a difference.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at MSA Data Analytics Ltd
✨Know Your Data Inside Out
As a Commercial Data Analyst, you'll be expected to handle large datasets and provide actionable insights. Brush up on your analytical skills and be ready to discuss specific examples of how you've used data to drive decisions in previous roles.
✨Master the Art of Presentation
You'll need to present findings to senior stakeholders, so practice translating complex data into clear, concise insights. Use visuals if possible, and prepare to answer questions about your analysis and recommendations.
✨Understand the Business Landscape
Familiarise yourself with market dynamics, competitor activity, and economic factors that could impact revenue. Showing that you have a grasp of these elements will demonstrate your commercial awareness and ability to make informed decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you would handle real-world scenarios. Think of examples where you've identified performance gaps or optimised revenue streams, and be ready to discuss your thought process.