At a Glance
- Tasks: Drive profitable growth by analysing pricing and promotional data for actionable strategies.
- Company: Join Mars, a diverse and inclusive employer committed to making a positive impact.
- Benefits: Competitive salary, bonus, learning opportunities, and a supportive work environment.
- Other info: Collaborate with talented teams and access continuous learning from day one.
- Why this job: Make a real difference in commercial decision-making with your analytical skills.
- Qualifications: Bachelor's degree in business or related field; strong Excel and Power BI skills.
The predicted salary is between 37800 - 46200 £ per year.
This job is with Mars, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Job Description
The designated home site for this position is
Castle Cary . Candidates should be able to commute to the Castle Cary site at least once per month .
The
Strategic Revenue Management (SRM) Analyst exists to drive profitable commercial growth by translating complex pricing, promotional, and portfolio data into actionable revenue strategies.
Reporting to the SRM Head and working closely with the Student on core data inputs, this role leads deep dives into pricing elasticity, designs portfolio promotional strategies, and builds practical commercial tools for Sales.
By bridging data analysis with clear, actionable recommendations, this position plays a pivotal role in enabling commercial decision-making across SRM, Sales, and Finance.
Key Responsibilities
- 1. Data Analysis & Building Actionable Business Recommendations
- Pricing & Elasticity Insights: Conducts deep-dive diagnostics on base and promotional price elasticities to guide annual pricing roadmaps and safeguard margin delivery.
- Price Pack Architecture (PPA): Analyzes portfolio mix, pack price-value curves, and consumer price points to identify whitespace opportunities and optimize structural mix.
- Cross-Functional Co-Piloting: Translates overarching SRM frameworks into practical trade guidelines and guardrails for Sales and Finance during Joint Business Planning (JBP) cycles.
- Data Administration & Integrity: Collaborates closely with the Student Assistant to ensure underlying price files, governance logs, and analytical data sets remain accurate, centralized, and streamlined.
- 2. SRM Tool Building & Commercial Enablement
- Promotional Strategy & Capability
Tools: Designs and refines intuitive ROI simulation tools for Sales teams, ensuring trade promotional investment is deployed effectively across key retail partners.
- Trade
- Terms
Tools: Designs and deploys structural tracking and ROI models to ensure Qualitative Trade Terms (QTT) and commercial incentives deliver measurable return on investment.
- Portfolio & Mix Models: Builds and maintains mix simulation tools that empower commercial teams to model volume-price-mix trade-offs and maximize overall portfolio profitability.
What do we look for
- Bachelor's degree in a business-related discipline or equivalent
- SRM analyst experience and/or junior finance background and/or business analyst experience
- Advanced proficiency in Excel and Power BI for robust data processing, reporting, and visualization.
- Proven experience in designing, building, and maintaining interactive dashboards that translate complex data into clear, user-friendly visuals.
- Strong background in data analysis, with a proven track record of deriving actionable business insights to drive decision-making.
- Solid capability to collaborate and influence across cross-functional teams and align diverse stakeholders effectively.
- Strong communication skills with the ability to articulate data-driven stories and recommendations to both technical and non-technical partners.
- Experience in data or financial modelling is a strong plus.
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we're striving to build the world we want tomorrow, today.
- A strong focus on learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
Royal Canin SRM Analyst North Europe in Somerset employer: Mars
Mars in Melton Mowbray is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With competitive salaries, private healthcare, and ample opportunities for career advancement, employees are encouraged to grow and thrive in their roles while working with state-of-the-art technology in the FMCG sector.
StudySmarter Expert Advice🤫
We think this is how you could land Royal Canin SRM Analyst North Europe in Somerset
✨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 Mars!
✨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 Royal Canin SRM Analyst North Europe in Somerset
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 Mars, 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 Mars
✨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 Mars’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.
