At a Glance
- Tasks: Transform data into insights that drive growth and profitability for McCain.
- Company: Join McCain, a global leader in the food industry with a collaborative culture.
- Benefits: Enjoy competitive pay, private healthcare, generous leave, and flexible working options.
- Other info: Great career growth opportunities in a supportive and inclusive environment.
- Why this job: Make a real impact by solving complex problems and driving strategic decisions.
- Qualifications: Strong analytical skills and experience in FMCG or commercial finance required.
The predicted salary is between 47250 - 57750 £ per year.
In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.
About the role. Join us as a Revenue Growth Management (RGM) Analyst and play a key role in driving profitable growth across our GB&I business. In this role, you'll turn data into meaningful commercial insights that help shape strategic decisions and unlock new growth opportunities. Using customer, consumer, shopper and market data, you'll identify areas where we can create value across pricing, promotions, trade investment, portfolio optimisation and product mix. Working closely with the Senior RGM Manager and a wide range of cross-functional teams, you'll develop commercial models, evaluate scenarios and provide clear, actionable recommendations that influence business performance. This is a fantastic opportunity for someone who enjoys solving complex problems, working with data, and making a tangible impact on commercial outcomes while helping to build and strengthen RGM capabilities across the organisation.
What you’ll be doing.
- Pricing & Promotional Performance - Analyse pricing, promotional and trade investment performance to identify growth opportunities. Build scenario models to evaluate pricing strategies and commercial decisions. Measure promotional ROI and revenue realisation performance. Provide insight-led recommendations to improve profitability and return on investment. Support fact-based decision-making through robust commercial analysis.
- Portfolio & Mix Optimisation - Evaluate portfolio, assortment and product mix performance across customers and channels. Identify opportunities to improve revenue, margin and category competitiveness. Analyse customer, shopper, consumer and market data to uncover growth opportunities. Support recommendations on price-pack architecture and portfolio strategy. Help drive long-term value creation and portfolio productivity.
- Commercial Modelling & Business Support - Develop business cases, forecasts and commercial models to support growth initiatives. Conduct scenario analysis across pricing, promotion, trade investment and portfolio opportunities. Partner with Sales, Marketing, Category, Finance and Demand Planning teams. Provide analytical support for customer planning, joint business plans and annual operating plans. Turn complex data into clear, actionable commercial recommendations.
- Performance Analytics & Reporting - Create and maintain dashboards, scorecards and reporting tools. Track key commercial and financial KPIs, highlighting trends, risks and opportunities. Deliver timely insights that support performance reviews and governance processes. Ensure reporting is accurate, insightful and easy to action. Help drive continuous optimisation of commercial performance.
- RGM Capability & Continuous Improvement - Support the development and adoption of Revenue Growth Management tools and best practices. Work with the Senior RGM Manager and wider commercial teams to enhance RGM capabilities. Help implement new analytical approaches, reporting frameworks and digital solutions. Stay up to date with emerging RGM methodologies and industry best practice. Champion a culture of continuous improvement, analytical excellence and data-driven decision-making.
What you’ll need to be successful.
- Experience in FMCG, Consumer Goods, Retail, Commercial Finance, Category or Sales Analytics.
- A strong analytical mindset, with the ability to turn data into actionable business insights.
- Understanding of Revenue Growth Management (RGM), including pricing, promotions and portfolio optimisation.
- Experience building financial models, business cases and commercial performance analysis.
- Advanced Excel skills and experience with Power BI, Tableau or similar reporting tools.
- Strong communication skills, with the ability to present complex insights clearly to stakeholders.
- A collaborative approach, high attention to detail, and a passion for data-driven decision-making.
Benefits.
Alongside your salary, you'll enjoy a range of benefits including:
- Private healthcare.
- An excellent salary sacrifice pension scheme where we'll contribute double what you do, up to a maximum of 12% of your salary.
- 25 days' annual leave from day one plus bank holidays (increasing with service), giving you plenty of time to recharge with the opportunity to buy and sell up to 5 days holiday per year.
- Life insurance cover providing peace of mind for you and your family.
- Enhanced maternity and paternity pay.
- Medicash health cash plan, helping you claim money back on everyday healthcare costs, with access to a virtual GP and wellbeing support.
- TELUS Health employee and family assistance programme offering full wellbeing support.
- A paid 'Chips In' Volunteering Day.
- Flexible/hybrid working arrangements where the role allows.
And because you're joining a global business, your career opportunities don't stop at the factory gate. Whether you're looking to deepen your expertise, step into leadership, or even explore opportunities internationally, we'll support your growth. With ambitious plans for the future, there's plenty of scope to develop your career with us.
McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger.
RGM Analyst GB&I in Scarborough employer: McCain Foods
At McCain Foods, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an Agronomist, Research & Technology Lead in Leeds, you'll benefit from a supportive work environment that prioritises employee growth, offering extensive training and development opportunities alongside a competitive benefits package, including private healthcare and flexible working arrangements. Join us to make a meaningful impact in sustainable agriculture while enjoying a fulfilling career with a global family-owned company that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land RGM Analyst GB&I in Scarborough
✨Get to Grips with Data Visualisation Tools
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✨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 McCain Foods!
✨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.
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We think you need these skills to ace RGM Analyst GB&I in Scarborough
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 McCain Foods, 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 McCain Foods
✨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 McCain Foods’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.
