Data Analyst

PEP; Parow; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A leading retail company in South Africa seeks a skilled Data Analyst to join the Marketing team. The role involves supporting strategic decision-making and optimizing performance through data analysis and reporting. Candidates should have over 5 years of experience in analytics and proficiency in SQL, Python, and data visualization tools. This is a unique opportunity to influence decision-making in a dynamic retail environment.

Benefits

Market-leading retail team

Cutting-edge tools

Career development opportunities

Qualifications

• 5+ years’ experience in retail, telco, eCommerce, or marketing analytics.
• Advanced skills in BigQuery SQL, Python, or R.
• Solid understanding of data modelling and data privacy regulations.

Responsibilities

• Analyse customer and product performance to support the team.
• Build models to support commercial decisions and identify growth opportunities.
• Translate data into clear recommendations for department strategies.

Skills

Analytical mindset

Business acumen

Communication skills

Collaboration

Curiosity

Education

Degree in Business, Computer Science, Mathematics, Engineering

Tools

BigQuery

SQL

Python

R

Data Studio

Tableau

Power BI

Excel

Google Workspace

Job description

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

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