Insight Analyst (Retail/Grocery)

Insight Analyst
Leeds or London | Hybrid

About Retail Insight

At Retail Insight, we're transforming the way some of the world's biggest retailers and CPG brands use data, analytics and technology to make smarter decisions.

Our people are at the heart of what we do. We bring together talented people with different experiences, perspectives and expertise to solve complex problems, challenge the status quo and make a real impact for our clients.

We're growing, and we're looking for an Insight Analyst to join our Client Analytics team.

About the role

Do you enjoy working with data, uncovering insights and turning complex information into something that makes a real difference?

We're looking for an experienced Insight Analyst who combines strong technical skills with curiosity and commercial thinking to help some of the world's leading retailers make smarter, data-driven decisions.

You'll work hands-on with large and complex datasets, using SQL, Python or R, and data visualisation tools such as Tableau or Power BI to explore trends, identify opportunities and turn your findings into clear, actionable recommendations.

But this role is about more than just analysing data. You'll take ownership of analytical projects, build engaging reports and visualisations, and work closely with client teams to understand their challenges and help solve real-world business problems.

You'll collaborate with colleagues across Client Analytics and the wider business, sharing your expertise, supporting junior analysts and contributing to how we continue to develop our analytical capabilities.

You'll also have opportunities to spend time with clients, gaining a deeper understanding of their operations and seeing firsthand how your insights can make an impact.

What you'll be doing

• Using SQL to query, extract and analyse large and complex datasets, identifying trends, anomalies and opportunities for improvement.
• Applying advanced analytical and statistical techniques, using tools such as
  Python or R, to investigate business challenges and generate meaningful insights.
• Developing clear, engaging reports, dashboards and data visualisations using tools such as Tableau or Power BI.
• Taking ownership of small to medium-sized analytical projects, from understanding the initial problem through to delivering insights and recommendations.
• Translating complex data and technical findings into clear, commercially relevant recommendations that help clients make better decisions.
• Presenting analytical findings to both technical and non-technical audiences, making complex information easy to understand.
• Working closely with client teams to understand their business objectives, challenges and opportunities.
• Collaborating with colleagues across Client Analytics, Customer Success and technical teams to ensure analysis is accurate, relevant and delivered to a high standard.
• Supporting and mentoring junior analysts, sharing knowledge, providing feedback and encouraging best practice.
• Exploring new analytical approaches, tools and technologies to continuously improve how we use data and deliver insights.
• Spending time with clients where required to better understand their operations, validate findings and strengthen recommendations.

What we're looking for

• At least 2–3 years' experience in data analysis, business intelligence, insight or a similar analytical role.
• Strong SQL skills, with experience querying, manipulating and analysing large datasets.
• Proficiency in Python or R, with experience applying analytical or statistical techniques to solve business problems.
• Experience with data visualisation tools, such as Tableau or Power BI, and the ability to create clear, meaningful reports and dashboards.
• Strong analytical and problem-solving skills, with a keen eye for detail and a curiosity to understand the story behind the data.
• Experience managing analytical projects and translating complex findings into actionable business recommendations.
• The ability to communicate technical information clearly and confidently to non-technical stakeholders.
• Strong collaboration and stakeholder management skills, with the confidence to work directly with clients.
• The ability to work independently, manage priorities and take ownership of delivering high-quality work.
• A degree in Data Science, Computer Science, Economics or a related quantitative field, or equivalent relevant experience.

Bonus points if you also have

• Experience working within retail, grocery or CPG.
• Experience applying machine learning or predictive analytics techniques to commercial problems.
• Experience presenting data-driven recommendations directly to clients or senior stakeholders.
• Experience supporting or mentoring junior analysts.
• Experience working with cross-functional teams to improve data quality, reporting or analytical processes.
• A genuine interest in exploring new technologies and finding better ways to turn data into insights.

Don't tick every box? That's okay. If the role sounds exciting and you think you could bring something to the team, we'd still love to hear from you.

Some of our extras...

Flexible Working – Enjoy a hybrid work model, typically two days in the office, with flexibility based on business needs, plus a work-from-anywhere policy to give you freedom to explore.

Time Off – 25 days' annual leave, plus bank holidays, increasing with length of service, as well as an extra day off for your birthday. We also operate summer hours so you can make the most of the sunshine.

Learning & Development – Access a wide range of courses through our learning platform and benefit from structured career progression plans to support your growth.

Health & Wellbeing – Private Medical Insurance, a healthcare cash plan and mental health support through Help@Hand. We'll also help make sure you have a safe and productive home-working setup with a workspace assessment.

Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice – which we'll match – and make a difference through Give as You Earn.

Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym and technology discounts.

Plus much more!

Our Interview Process

Our interview process may vary slightly depending on the role. We’ll always let you know what to expect at each stage and give you plenty of opportunities to ask questions along the way.

People Team Introduction and Cultural Drivers Interview

An initial conversation with a member of our People Team to learn more about you, your experience and what you’re looking for in your next role. We’ll also introduce you to Retail Insight and explain the opportunity and interview process. During the call, we’ll ask interview questions based on our cultural drivers to understand how your values, behaviours and ways of working align with ours.

Role and Technical Interview

This stage explores your experience and the skills most relevant to the role, as well as how you approach your work. Depending on the position, it may include a practical task, presentation or technical assessment. We’ll always explain what’s involved in advance.

Senior Leadership Coffee Chat

The final stage is an informal coffee chat with a member of our senior leadership team. It’s an opportunity to learn more about our business and culture, ask any remaining questions and make sure Retail Insight feels like the right fit for you.

Be your authentic self

Retail Insight is committed to promoting equal opportunities in employment. All employees and job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported and encouraged to contribute their best work.