Analytics Business Partner (Supply Chain & Logistics) in London
Analytics Business Partner (Supply Chain & Logistics)

Analytics Business Partner (Supply Chain & Logistics) in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Sainsbury's

At a Glance

  • Tasks: Be the go-to person for analytics in supply chain, driving insights and strategic improvements.
  • Company: Join a leading retailer committed to innovation and collaboration.
  • Benefits: Enjoy discounts, flexible working, healthcare, and performance bonuses.
  • Why this job: Make a real impact by translating data into actionable insights for supply chain optimisation.
  • Qualifications: Experience in analytics, strong communication skills, and a knack for problem-solving.
  • Other info: Dynamic team culture with opportunities for growth and development.

The predicted salary is between 36000 - 60000 £ 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.

What I need to know

  • Essential
  • 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.
  • Structured & organised – manages demand and priorities with discipline.
  • Outcome-driven – ensures insights lead to real decisions and measurable actions.
  • 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.

Qualifications

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. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them:

  • Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year.
  • We'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 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.

Responsibilities

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.

Analytics Business Partner (Supply Chain & Logistics) in London employer: Sainsbury's

At Sainsbury's, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and continuous improvement. As an Analytics Business Partner in our Supply Chain team, you'll enjoy a wealth of growth opportunities, competitive benefits including generous discounts, performance-related bonuses, and a commitment to your wellbeing with flexible working options. Join us in a role where your insights will drive meaningful change and operational excellence, all while being part of a diverse and inclusive environment.
Sainsbury's

Contact Detail:

Sainsbury's Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Business Partner (Supply Chain & Logistics) in London

✨Tip Number 1

Network like a pro! Get out there and connect with people in the supply chain and analytics space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. Building relationships can open doors to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your storytelling skills! When you get the chance to chat with potential employers, make sure you can explain complex analytics in simple terms. Use real-world examples to demonstrate how your insights have driven decisions in the past. This will help them see the value you bring to the table.

✨Tip Number 3

Be proactive in your approach! Don’t just wait for job openings to pop up. Reach out to companies you admire, like us at StudySmarter, and express your interest in working with them. Sometimes, creating your own opportunity is the best way to land that dream job.

✨Tip Number 4

Keep your skills sharp! Stay updated on the latest tools and techniques in analytics, especially those relevant to supply chain and logistics. Consider taking online courses or certifications to boost your knowledge. This shows potential employers that you’re committed to continuous improvement and ready to hit the ground running.

We think you need these skills to ace Analytics Business Partner (Supply Chain & Logistics) in London

Analytics Business Partnering
Supply Chain Operations Understanding
Logistics Processes Knowledge
Analytical Problem Translation
Stakeholder Management
Influencing Decision-Making
Communication Skills
Storytelling Skills
Data Management
Modelling Skills
Visualisation Skills (e.g., SQL, Python, Power BI, Tableau)
Prioritisation and Portfolio Management
Project or Programme Management
Collaboration Skills
Continuous Improvement Advocacy

Some tips for your application 🫡

Know Your Audience: Before you start writing, take a moment to understand who you're addressing. Tailor your application to resonate with the Supply Chain and Analytics teams. Use their language and highlight how your experience aligns with their needs.

Be Clear and Concise: When detailing your experience, keep it straightforward. Avoid jargon and focus on clear communication. Remember, you want to simplify complex analytics for non-technical audiences, so show that you can do this in your application!

Showcase Your Impact: Don’t just list your responsibilities; highlight the outcomes of your work. Use metrics or specific examples to demonstrate how your analytical insights have driven decision-making or improved processes in previous roles.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re proactive and keen to join our team!

How to prepare for a job interview at Sainsbury's

✨Know Your Analytics Inside Out

Make sure you brush up on your analytics fundamentals. Understand data types, modelling approaches, and visualisation tools like SQL or Power BI. This will help you confidently discuss how to translate business challenges into structured analytical problems during the interview.

✨Build a Story with Data

Prepare to showcase your storytelling skills. Think about how you can simplify complex analytics for non-technical audiences. Practice explaining past projects where your insights led to actionable outcomes, as this will demonstrate your ability to influence decision-making.

✨Stakeholder Management is Key

Be ready to discuss your experience in managing stakeholders with differing priorities. Share examples of how you've built strong relationships and facilitated clear communication between teams. This will show that you can navigate complex environments effectively.

✨Prioritisation and Impact Focus

Think about how you prioritise analytical workloads based on business impact. Be prepared to discuss your approach to managing demand and ensuring alignment with strategic objectives. This will highlight your structured and organised mindset, which is crucial for the role.

Analytics Business Partner (Supply Chain & Logistics) in London
Sainsbury's
Location: London

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