At a Glance
- Tasks: Transform data into impactful commercial decisions and uncover growth opportunities.
- Company: Join a global brand with a wealth of data and a collaborative culture.
- Benefits: Market-led salary, bonus, generous leave, and remote work flexibility.
- Other info: Dynamic role with opportunities to challenge assumptions and drive meaningful change.
- Why this job: Make a real difference by influencing commercial strategy with your analytical skills.
- Qualifications: Experience in data analytics, strong SQL and Excel skills, and commercial awareness.
The predicted salary is between 63000 - 77000 £ per year.
This is a senior role, the first of its kind within the organisation and will live within a centralised Data and Analytics team. We are looking for someone that is solely motivated by commercial output.
We’re working with a global brand, think thousands of physical stores, distribution centres and vans on the road. Operating at significant scale, the business has a wealth of data at its fingertips. Now, we’re looking for a commercially minded analyst who can turn that data into decisions that make a genuine difference.
Joining the BI & Analytics team, you’ll work at the intersection of data and commercial strategy, partnering with teams across Commercial, Pricing, Marketing and eCommerce to answer the questions that matter most. This isn’t a role where you sit back and wait for someone to send you a brief. It’s about spotting opportunities, challenging assumptions and getting under the skin of the numbers to uncover what’s really happening, why it’s happening and what the business should do next.
Powered by a powerful Data Engineering and Data Science function, this will be suited to someone operating at, or close to a Senior level.
What will you be doing?
- Uncovering commercial opportunities: Proactively identifying the biggest questions, challenges and growth opportunities across the business, then leading the analysis to answer them.
- Influencing commercial strategy: Working closely with Commercial, Pricing, Marketing and eCommerce to understand their objectives and help shape better decisions.
- Measuring what really works: Evaluating campaigns, promotions and pricing changes to separate genuine incremental growth from what would have happened anyway.
- Understanding customer behaviour: Analysing customer journeys and segments to identify missed opportunities, barriers to conversion and ways to improve retention.
- Testing and learning: Supporting the design and evaluation of experiments, trials and test-and-control comparisons to establish what delivers the best results.
- Building the business case: Creating straightforward forecasts and commercial models to support investment decisions, including marketing and media spend.
- Making data meaningful: Presenting your findings in plain English, translating complex analysis into recommendations that stakeholders can understand and act upon.
- Collaborating across data: Working alongside BI, Data Science and Data Engineering to ensure your work is consistent, robust and built on a trusted version of the truth.
What are we looking for?
We’re interested in someone who combines strong analytical capability with commercial curiosity and the confidence to influence people. You might already be a Commercial Analytics Manager, Commercial Analyst, Data Analyst, Customer Analyst or Marketing Analyst. Your job title matters less than your ability to get to the bottom of a problem and demonstrate how your work has made a difference.
You’ll ideally bring:
- Proven experience in a hands-on data analytics role, preferably within retail, wholesale, eCommerce or another commercially focused environment.
- Strong SQL and Excel skills, alongside experience using a BI platform such as Power BI.
- A solid understanding of analytical techniques, including trend analysis, test-and-control comparisons and basic forecasting.
- Commercial awareness, with an understanding of how pricing, margin, promotions and customer behaviour influence business performance.
- Examples of analysis you’ve led that influenced a decision, improved performance or delivered measurable value.
- The ability to communicate complex findings clearly and confidently, adapting your approach to different audiences.
- The initiative to take ownership, challenge conventional thinking and pursue opportunities without needing a perfectly defined brief.
We’re not looking for a technical data scientist. You won’t be building machine learning models. Instead, you’ll focus on the analytical thinking that bridges business intelligence and data science: understanding what the numbers mean and translating that understanding into action.
Senior Commercial Analyst employer: Delaney & Bourton
As an Interim Programme Director with our international organisation, you will be part of a dynamic and innovative team that values leadership and expertise in Workday implementations. We offer a flexible remote working environment, competitive rates, and the opportunity to lead significant transformation projects that impact the entire organisation. Our culture promotes professional growth and collaboration, ensuring that you can thrive while making a meaningful contribution to our global operations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Commercial Analyst
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We think you need these skills to ace Senior Commercial Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Delaney & Bourton, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Delaney & Bourton. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Delaney & Bourton
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
