# Experienced Data Analyst – SQL, Advanced Analytics & Insights

**Company**: Argos
**Location**: London, Greater London
**Experience**: senior
**Job type**: full-time
**Salary**: Competitive Plus Benefits
**Category**: Data Science
**Industry**: Retail

**Apply**: https://hdhe.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/400075536?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cc6359d1-b0f

## 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.

## Skills

### Required
- SQL
- Python
- R
- Statistical methods
- Pricing analysis
- KPI development
- Data storytelling

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Source: [Apply at hdhe.fa.em3.oraclecloud.com](https://hdhe.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/job/400075536?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)