Sainsbury's
Associate Commercial Analyst - SQL

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Why join us?
This is an exciting time to join Argos. As we embark on a new chapter, you'll have the opportunity to shape the future of one of the UK's most recognisable retail brands. Working in a fast-paced, customer-focused environment, you'll tackle meaningful challenges, collaborate with talented colleagues, and see the impact of your work on millions of customers. If you're looking for ownership, growth and the chance to make a real difference, Argos is the place for you.
A bit about the role:
The Argos Analytics team is undergoing significant transformation, leveraging data to drive change. This analyst role in Argos Commercial Analytics focuses on commercial strategy, including evaluating price campaigns and identifying key steps for pricing strategy development. We want you to have a point of view, combining commercial insight, curiosity, and an understanding of our business to provide recommendations and identify opportunities for improvement.
As an Associate Analyst at Argos, you'll play a key role in unlocking the value of our data to drive commercial success. Working within a high-performing team of Analysts and supported by Analytics Managers, you’ll help shape and deliver Argos’s strategic ambitions through data-driven insight.
Key Responsibilities:
- Deliver Commercial Value: Focus on generating analytical insights that support our Commercial business, helping inform pricing strategies and business decisions.
- Apply Analytical Thinking in Context: Use your strong analytical foundation to understand how Argos operates, recommending tailored approaches to data analysis that reflect our unique business model.
- Collaborate with Stakeholders: Build and maintain strong relationships across the business, championing a collaborative approach to requirements gathering and analysis development.
- Stay Purpose-Driven: Work at pace while maintaining high standards of accuracy and professionalism. Always stay connected to the “why” behind each project—ensuring your analysis is aligned with business goals and decision-making needs.
- Communicate with Impact: Present findings with empathy and clarity, translating complex data into compelling stories that resonate with non-technical audiences and inspire action.
- Live Our Values: Embrace values of Owning It, Making It Better, and Being Human—bringing curiosity, and accountability to everything you do.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you need to know and show:
- Analytical Mindset & Problem Solving: Apply logical, creative thinking to complex commercial challenges. Leverage novel data sources and predictive techniques to uncover opportunities.
- Technical Proficiency: Skilled in SQL and either R or Python, with a numerate background and solid grasp of statistical methods, including their practical applications and limitations.
- Pricing & Analysis: Conduct competitor pricing analysis and evaluate product trends to develop data-driven pricing strategies that enhance profitability and commercial impact.
- KPI & Framework Development: Design and interpret KPIs and analytical frameworks to guide strategic decisions and identify growth opportunities.
- Insight Generation & Communication: Deliver actionable insights through clear, compelling data storytelling. Present recommendations that drive measurable business transformation.
- Efficiency & Automation: Prioritise automation of repetitive tasks to focus on high-impact, value-adding projects.
- Stakeholder Collaboration: Partner effectively with cross-functional teams to understand business needs, applying commercial acumen and strong communication skills.
- Growth & Community Engagement: Committed to continuous learning and career development. Actively contribute to team success and support the wider data and analytics community.


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Essential Criteria
- Experience using SQL and either Python or R to analyse data and generate insights that support business decision-making.
- Strong analytical and problem-solving skills, with the ability to interpret data, identify trends and make evidence-based recommendations.
- Experience developing and reporting on KPIs, metrics or performance measures to assess business performance and support strategic decisions.
- Ability to communicate analytical findings clearly to both technical and non-technical audiences, translating data into actionable insights.
- Experience working collaboratively with stakeholders to understand requirements and deliver analytical solutions that meet business needs.
- Demonstrable ability to manage multiple priorities, maintain accuracy, and work effectively in a fast-paced commercial environment.
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