Description
At Argos, we're a digital-led UK retailer that keeps pushing boundaries to meet every generation with what they want, how and when they want it.
As an Experienced Data Analyst, you will play a key role in unlocking the value of our data to drive commercial success. You will work within a high-performing team of Analysts and supported by Analytics Managers, helping shape and deliver Argos's strategic ambitions through data-driven insight.
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.
- 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.
Requirements:
- Analytical Mindset & Problem Solving: Apply logical, creative thinking to complex commercial challenges.
- Technical Proficiency: Skilled in SQL and either R or Python, with a numerate background with a solid grasp of statistical methods.
- Strategic Pricing & Analysis: Conduct in-depth competitor pricing analysis and evaluate product trends to develop data-driven pricing strategies.
- 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.
- 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.
- Growth & Community Engagement: Committed to continuous learning and career development.
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.
- Experience developing and interpreting KPIs, performance metrics and analytical frameworks.
- Proven ability to communicate complex analysis to non-technical stakeholders.
- Demonstrated experience working with cross-functional stakeholders.