At a Glance
- Tasks: Drive business decisions with analytics, forecasting, and AI insights.
- Company: Join a global leader in consumer goods at our HQ in Newcastle or London.
- Benefits: Enjoy a competitive salary, flexible working options, and career development opportunities.
- Other info: Collaborative environment with opportunities to innovate and grow your career.
- Why this job: Make a real impact by transforming data into actionable insights for the business.
- Qualifications: Experience in commercial analytics and strong stakeholder influencing skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: Newcastle upon Tyne OR London
Contract: Permanent
We have an exciting opportunity for a Commercial Business Intelligence Manager to join the team at our global HQ in Newcastle upon Tyne! The Commercial Business Intelligence Manager will be responsible for enabling better business decisions through analytics, performance management, forecasting, scenario modelling, and AI‑assisted insights. The role serves as the primary bridge between business stakeholders and the EIA function, translating business priorities into analytical initiatives that improve commercial performance, operational effectiveness, and strategic decision‑making. The role ensures analytics moves beyond reporting historical performance towards enabling forward‑looking, action‑oriented decision support.
- Business Insights & Decision Support
- Translate business questions into structured analytical frameworks that support decision‑making.
- Responsibilities include:
- Analysing commercial performance across sales, margin and product portfolios
- Identifying trends, performance drivers and emerging risks
- Supporting leadership discussions with data‑backed insights
- Producing structured analysis that informs commercial, operational and financial decisions
- Contributing to scenario modelling and forecasting analysis where required.
- Enterprise KPI Framework Support
- Support the establishment and maintenance of the organisation’s enterprise KPI framework.
- Responsibilities include:
- Working with business stakeholders to clarify KPI definitions
- Ensuring consistency of metric implementation across dashboards
- Supporting KPI documentation and governance processes
- Identifying inconsistencies in reporting logic and proposing improvements
- Helping ensure analytics outputs align with certified data definitions.
- Dashboard Development & Analytics Delivery
- Design and deliver analytics products that support operational and strategic decision‑making.
- Responsibilities include:
- Developing and maintaining dashboards within approved BI platforms
- Applying strong data visualisation principles to improve usability
- Improving existing reports to increase clarity and adoption
- Reducing reliance on manual Excel‑based reporting
- Supporting executive reporting through clear narrative and interpretation of data.
- Analytical Data Preparation
- Work with the Analytics Engineering and Data Engineering, Platform teams to prepare datasets suitable for analysis.
- Responsibilities include:
- Querying enterprise datasets
- Validating data accuracy and investigating anomalies
- Supporting improvements to data models and transformations
- Performing data profiling and quality checks
- Ensuring analytical outputs are based on consistent and reliable data.
- Commercial & Operational Analytics
- Provide analytical support across key business functions including Sales, Category, Marketing, Finance and Operations.
- Examples include:
- Sales performance and channel analysis
- Margin and pricing analysis
- Campaign effectiveness and marketing ROI
- Product portfolio performance
- Operational KPI monitoring.
- Experimentation & Advanced Analytics
- Support the organisation’s development of more advanced analytical capabilities.
- Responsibilities include:
- Designing and evaluating experiments and A/B tests
- Supporting forecasting and predictive modelling initiatives
- Exploring opportunities for automation and AI‑assisted analytics
- Contributing to the evaluation of emerging analytics technologies.
- Stakeholder & Business Partnering
- Develop strong relationships with business stakeholders across the organisation.
- Responsibilities include:
- Partnering with Sales, Category, Finance, Marketing, Operations, Regional Business Units and IT teams
- Translating business requirements into analytical solutions
- Communicating insights clearly to technical and non‑technical audiences
- Supporting workshops and analytical discussions with business teams.
What skills and experiences you’ll need to ace this job:
- Proven experience in commercial analytics or business intelligence
- Proven ability to influence senior stakeholders using analytical insights
- Evidence of commercial decision support experience is crucial
- Experience designing analytical frameworks or KPI structures
- Experience delivering end‑to‑end analytical projects.
- Experience in FMCG, retail, marketplace or consumer‑driven businesses is beneficial.
Commercial Business Intelligence Manager Mayborn HQ employer: Mayborn
Mayborn is an excellent employer that fosters a dynamic work culture in the heart of Newcastle upon Tyne, offering employees the chance to make a significant impact on regional profitability and strategic growth. With a strong emphasis on professional development, we provide ample opportunities for career advancement and encourage innovative thinking, making it a rewarding environment for qualified accountants looking to thrive in commercial finance.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Business Intelligence Manager Mayborn HQ
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Mayborn!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Commercial Business Intelligence Manager Mayborn HQ
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Mayborn, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Mayborn
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Mayborn’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
