At a Glance
- Tasks: Be the go-to person for analytics in supply chain, driving insights and strategic improvements.
- Company: Join a leading retailer focused on innovation and customer satisfaction.
- Benefits: Enjoy discounts, bonuses, private healthcare, and flexible holiday options.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact by translating data into actionable insights for decision-making.
- Qualifications: Experience in analytics, strong communication skills, and a knack for problem-solving.
The predicted salary is between 55000 - 65000 £ per year.
To act as the primary strategic interface between the Supply Chain Optimisation analytics function and its key stakeholders across Supply Chain Operations, Transformation, and the central Data & Analytics (D&A) organisation. The Analytics Business Partner identifies, shapes, and prioritises analytical demand, ensuring the right problems are tackled and that insights drive meaningful operational and strategic improvements. Working hand in hand with the Analytics Manager, this role translates business challenges into clear analytical requirements, ensures alignment on priorities, and champions the use of data to influence decision‑making across the supply chain.
What I am accountable for:
- Serve as the outward‑facing point of contact for all analytics‑related engagement with supply chain operations, transformation teams, and the central D&A function.
- Build strong, trusted relationships with stakeholders at all levels, understanding their priorities, pain points, and strategic objectives.
- Facilitate clear and proactive communication between stakeholders and the analytics team.
- Identify analytical needs across supply chain and transformation programmes, challenging and refining requests to ensure problem clarity and value focus.
- Prioritise analytical workload based on business impact, strategic alignment, and available capacity, in partnership with the Analytics Manager.
- Manage the pipeline of analytics requests, ensuring transparency of priorities, timelines, and outcomes.
- Collaborate with operational and project teams to define the scope, success criteria, and decision context for analytics work.
- Write and communicate clear briefs for the Analytics Manager and internal team, ensuring they understand the ‘why’, not just the ‘what’.
- Ensure analytical outputs are actionable, relevant, and aligned to stakeholder expectations.
- Act as the interpreter of analytical insights, translating complex outputs into compelling, commercially grounded narratives.
- Support stakeholders in understanding findings, implications, and recommended actions.
- Facilitate insight‑driven decision‑making through workshops, presentations, and cross‑functional reviews.
- Ensure analytics activity is directly supporting supply chain optimisation goals and transformation priorities.
- Represent the analytics perspective in strategic planning, operational reviews, and change programmes.
- Advocate for data‑driven approaches and champion best practice across the organisation.
- Work closely with the Analytics Manager to ensure alignment between stakeholder demand and internal delivery plans.
- Partner with the central Data & Analytics function to align on data governance, tooling, and enterprise analytics standards.
- Support supply chain leadership and programme teams in embedding analytical thinking into continuous improvement initiatives.
- Support the definition and monitoring of KPIs that demonstrate the commercial and operational impact of analytics work.
- Ensure insights are translated into measurable actions, and track benefit realisation in collaboration with the Analytics Manager and programme teams.
- Change advocate – promotes continuous improvement and data‑driven ways of working.
Measures of success:
- High stakeholder satisfaction and strong relationships across supply chain, transformation, and D&A.
- Clear, well‑managed and transparent demand pipeline aligned to strategic priorities.
- Effective prioritisation leading to high‑value analytics delivery.
- Demonstrable influence on decision‑making and optimisation actions.
- Increased adoption of analytics and data‑driven approaches across the supply chain.
- Measurable contribution to optimisation outcomes (cost, service, efficiency).
- Strong alignment and seamless collaboration with the Analytics Manager and delivery team.
We believe in providing meaningful work and achieving a real work/life balance. Here, you'll find both. Our Supply Chain team is the engine room for getting thousands of products from farms and factories to our millions of customers every day. We leverage insight and data to anticipate customer needs, ensuring they get what they want, when they need it. You'll be part of a team that is data‑driven and judgement‑focused, always the first to identify and address any issues or ambiguities. A culture of collaboration, customer obsession, and continuous improvement drives us to deliver market‑leading product availability and operational excellence, and fuels our innovation. Our Supply Chain team calls for people who champion change, are customer‑obsessed, data‑driven, and excel at collaborating and communicating effectively – because those people can go a very long way.
Key qualifications:
- Strong experience in an analytics‑facing business partnering, consulting, strategy, or commercial insights role.
- Understanding of supply chain operations, logistics processes, or transformation environments (retail or FMCG advantageous).
- Proven ability to translate business challenges into structured analytical problems.
- Strong communication and storytelling skills – able to simplify complex analytics for non‑technical audiences.
- Experience managing stakeholders with differing priorities, and influencing decision‑making in a complex, cross‑functional environment.
- Solid grasp of analytics fundamentals (data types, modelling approaches, dashboards), enabling effective challenge and conversation with delivery teams.
- Experience in prioritisation and portfolio management within a fast‑paced setting.
Desirable:
- Project or programme management experience or qualifications.
- Strong data management, modelling, and visualisation skills (e.g., SQL, Python, Power BI, Tableau, or similar).
What I need to show:
- Strategic communicator – clear, confident, and able to influence senior stakeholders.
- Commercial thinker – focuses on value, outcomes, and real‑world impact.
- Collaborative partner – works seamlessly across teams and functions.
- Curious & questioning – digs deeper to understand problems and opportunities.
We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new – whether that's as part of an evolving team or somewhere else across the business – and we take development seriously and promise to support you.
Benefits:
- Starting off with colleague discount, you'll be able to save 10% on your shopping online and in store at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year.
- You've also got you covered for your future with our pensions scheme and life cover.
- You'll also be able to share in our success as you may be eligible for a performance‑related bonus of up to 20% of salary, depending on how we perform.
- Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare.
- We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers.
- And if you ever need it, there is also an Employee Assistance Programme.
- Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave.
Analytics Business Partner employer: Sainsbury’s Group
Contact Detail:
Sainsbury’s Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Business Partner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in analytics or supply chain roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by understanding the company’s analytics needs. Dive into their recent projects or challenges and think about how you can add value. Show them you’re not just another candidate, but someone who gets their business.
✨Tip Number 3
Practice your storytelling skills! You’ll need to simplify complex data insights for non-technical stakeholders. Use examples from your past experiences to demonstrate how you’ve done this before.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.
We think you need these skills to ace Analytics Business Partner
Some tips for your application 🫡
Know the Role: Before you start writing, make sure you really understand what the Analytics Business Partner role is all about. Dive into the job description and highlight key responsibilities and qualifications that resonate with your experience. This will help you tailor your application to show how you're the perfect fit!
Tell Your Story: When crafting your application, don’t just list your skills – tell us your story! Use examples from your past experiences that showcase your ability to build relationships, influence decision-making, and drive data-driven insights. Make it personal and relatable; we want to see the real you!
Be Clear and Concise: We love clarity! Make sure your application is well-structured and easy to read. Use bullet points where necessary and keep your language straightforward. Remember, you’re translating complex analytics into simple terms, so show us you can do that right from the get-go!
Apply Through Our Website: Ready to take the plunge? Make sure you apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Sainsbury’s Group
✨Know Your Stakeholders
Before the interview, research the key stakeholders you'll be working with. Understand their roles, priorities, and pain points. This will help you demonstrate how you can build strong relationships and facilitate clear communication between them and the analytics team.
✨Translate Business Challenges
Be prepared to discuss how you would translate complex business challenges into structured analytical problems. Think of examples from your past experience where you've successfully done this, and be ready to explain your thought process clearly.
✨Showcase Your Communication Skills
Since storytelling is crucial for this role, practice simplifying complex analytics concepts for a non-technical audience. Bring examples of how you've effectively communicated insights in previous roles, and be ready to present them during the interview.
✨Demonstrate Data-Driven Decision Making
Prepare to discuss how you've used data to influence decision-making in a cross-functional environment. Highlight specific instances where your analytical insights led to measurable actions or improvements, showcasing your ability to advocate for data-driven approaches.