Data Analyst (Western Cape) at PEP

PURPOSE OF THE JOB 

• We are seeking a skilled and business-minded Data Analyst to join our Marketing team supporting the Cellular Networks and Products portfolio — including handsets, SIM cards, accessories, airtime and the loyal customers who shop in stores to buy them.
• You will collaborate closely with the Head of Department and the Business Managers to guide strategic decisions, optimise performance, and deliver customer-centric insights. Your work will influence one of the fastest-growing and most innovative product categories in our retail environment.

Why Join Us?

• Be part of a market-leading retail team in one of our most dynamic product areas
• Engage directly with decision-makers — our flat structure fosters high visibility and influence
• Work with cutting-edge tools in a modern, cloud-based data environment
• Shape your role — bring your expertise and build a career aligned with your strengths

KEY RESPONSIBILITIES 

Data-Driven Decision Support: 

• Analyse customer and product performance to support the team
• Develop reports and dashboards using SQL, Python/R, and modern data visualisation tools
• Evaluate promotions, sales trends, SIM card usage and behavioural patterns in cellular product uptake

Strategic Modelling:

• Build models to support commercial decisions and identify growth opportunities
• Translate data into clear recommendations for department strategies

Systems & Project Delivery:

• Leverage Google’s tools such as BigQuery and Looker Studio
• Provide specifications for data tables & products to be built or optimised by our data engineering team

Requirements
ROLE  REQUIREMENTS 

Education & Experience

• Degree in Business, Computer Science, Mathematics, Engineering, or related field
• 5+ years’ experience in a retail, telco, ecommerce, or marketing analytics environment

Technical Proficiency

• Advanced skills in BigQuery SQL, Python or R
• Data visualisation using Data Studio, Tableau, or Power BI
• Strong command of Excel and Google Workspace
• Solid understanding of data modelling, data quality, and privacy regulations (e.g. POPIA)

Soft Skills

• Strong business acumen and analytical mindset
• Able to communicate insights clearly to both technical and non-technical audiences
• Comfortable working cross-functionally with marketing, IT, and business teams
• Collaborative and proactive
• Curious

Competencies:

• Devotion to quality, Performing under pressure, Presenting, Structuring, Listening Skills, Persuasiveness, Assertiveness, Analysing and forming opinions, Creativity