At a Glance
- Tasks: Analyse data to drive pricing strategies and commercial insights for Argos.
- Company: Join Argos, a leading UK retailer shaping the future of shopping.
- Benefits: Opportunities for growth, collaboration, and making a real impact.
- Other info: Engage in continuous learning and contribute to a vibrant analytics community.
- Why this job: Be part of a dynamic team transforming data into actionable business strategies.
- Qualifications: Experience in SQL and either Python or R, with strong analytical skills.
The predicted salary is between 40500 - 49500 £ per year.
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.
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.
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.
Commercial Analyst - SQL employer: Retail
As a Home Delivery Driver with Retail, you will be part of a dynamic team that values flexibility and customer satisfaction. Our supportive work culture encourages personal growth through comprehensive training and varied hours, allowing you to balance your professional and personal life effectively. Join us in delivering not just groceries, but also exceptional service across the United Kingdom, while enjoying the unique advantage of working in a role that directly impacts our customers' daily lives.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analyst - SQL
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Retail!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Commercial Analyst - SQL
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Retail, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Retail
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Retail’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
