Sainsbury's
Associate Analyst - Corporate Analytics

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Why join us
Joining the Corporate Analytics team at Sainsbury's offers a unique opportunity to be at the forefront of data-driven decision making, directly impacting customer experience and operational efficiency. As an Associate Analyst, you will have the chance to drive impactful projects, collaborate with diverse teams, and leverage cutting-edge tools like Tableau, SQL, and Python to translate data into actionable insights. With a focus on supplier performance, advanced reporting, and cross-functional collaboration, you will be part of a dynamic and collaborative team that values curiosity, innovation, and delivering tangible outcomes. This role provides a platform for continuous learning, professional growth, and the satisfaction of contributing to the success of one of the UK's leading loyalty programmes.
What you'll do
As an Associate Analyst in the Corporate Analytics team at Sainsbury's, you will play a crucial role in driving impact through analytics by deriving insightful findings and contributing to potential recommendations. Your responsibilities will include:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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- Identifying relevant metrics
- Analysing trends
- Providing contextual insights to support business decisions
You will independently manage analytical projects using diverse datasets, ensuring clarity in briefs and delivering to a defined scope. Utilising your technical proficiency in SQL and Python, you will apply your skills to perform quality checks on standardised code and present findings using appropriate visualisations to stakeholders. Additionally, you will engage with stakeholders, build strong relationships, and adhere to data protection and security policies while recognising data limitations and investigating anomalies to ensure operational awareness and governance.
Who you are
As an Associate Analyst in Corporate Analytics at Sainsbury's, you are a proactive and analytical individual with a strong technical proficiency in SQL and ideally Python, along with experience in BI tools such as Tableau and AWS / Snowflake. Your ability to identify relevant metrics, analyse trends, and deliver insightful findings enables you to drive impactful business decisions and enhance operational efficiency. With strong communication skills and a collaborative mindset, you excel in engaging stakeholders, presenting complex insights in a clear and actionable manner, and contributing to cross-functional collaboration to achieve strategic objectives.


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Essential Criteria
- Experience using SQL to extract, manipulate and analyse data.
- Experience analysing data to identify trends, metrics and actionable business insights.
- Experience creating data visualisations, dashboards or analytical reports and presenting findings to stakeholders.
- Experience working with relational databases and applying data quality or validation checks.
- Experience independently managing analytical projects or requests from brief through to delivery, balancing multiple priorities
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