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Sainsbury's

Commercial Analyst - SQL

City of London
Posted about 20 hours ago
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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 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.

  • 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. Confidently challenge assumptions and contribute to strategic thinking.
  • 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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Graduate Consultant — 2026 Scheme

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£35,000/yr

Why you're a good match

Strong

Your 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.

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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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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 with a solid grasp of statistical methods, including their practical applications and limitations.
  • Strategic Pricing & Analysis: Conduct in-depth 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 pricing models and 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

  • Proven experience using SQL and either Python or R to analyse large datasets and generate actionable commercial insights.
  • Experience conducting pricing, competitor, market, or commercial analysis, using data to influence business decisions and strategy.
  • Strong understanding of statistical methods and analytical techniques, with the ability to apply them appropriately to solve business problems.
  • Experience developing and interpreting KPIs, performance metrics, and analytical frameworks to measure performance and identify opportunities.
  • Proven ability to communicate complex analysis to non-technical stakeholders, translating data into clear recommendations that drive action.
  • Demonstrated experience working with cross-functional stakeholders to gather requirements, challenge assumptions, and deliver commercially focused analytical solutions.
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Skills

SQL
Python
R
Data Analysis
Pricing Strategy
Statistical Methods
Commercial Analysis
KPI Development
Data Storytelling
Stakeholder Management
Predictive Techniques
Automation
Business Intelligence
Market Analysis
Strategic Thinking

Location

City of London, England, United Kingdom

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