Commercial & Retail Analytics Lead (Western Cape) at PEP

Description

• We are looking for a Commercial & Retail Analytics Lead to lead delivery, quality and enablement across PEP’s commercial and retail analytics portfolio.
• This role supports Cellular, PAXI, PEPmoney and eCommerce analytics. The focus is to ensure that analysts deliver trusted, standardised and commercially relevant insights that support better business decision-making, improved performance visibility and stronger execution across key business areas.
• This is a senior player-coach role, responsible for improving delivery quality, managing priorities, supporting data engineering delivery, coaching analysts, and building confidence in commercial and retail analytics.

Why Join Us?

• Lead a team of analysts working across Cellular, PAXI, PEPmoney and eCommerce analytics.
• Work across some of PEP’s most commercially important and fast-moving business areas.
• Build the standards, data assets and reporting processes that support better business decision-making.
• Help improve the quality, speed and consistency of analytics delivery across embedded business teams.
• Be part of a modern, cloud-based analytics environment using tools such as BigQuery and Looker Studio.

KEY RESPONSIBILITIES 

Lead analytics delivery across Cellular, PAXI, PEPmoney and eCommerce.

• Manage priorities, delivery rhythms, workplans and escalations across analysts and allocated data engineering support.
• Review key outputs to ensure analysis, dashboards, reports and executive packs are accurate, reconciled and decision-ready.
• Build consistent standards for KPI definitions, reporting logic, QA checks, reconciliations and dashboard outputs.
• Coach and develop analysts to improve technical quality, commercial judgement and stakeholder confidence.
• Support business stakeholders with insights linked to operating profit growth, transaction volume, product performance and revenue from data-led initiatives.
• Partner with Heads of Department, Product Owners, Finance, Marketing, Sales / Operations and senior stakeholders to ensure insights are clear, useful and business relevant.

Requirements

Education and Experience

• Business degree with Analytical/Commercial subjects (e.g.Computer Sc., Maths, Eng.)
• 6–8 years’ experience in data analytics or a related data-driven role.
• 2+ years’ experience leading, coaching, mentoring or managing analysts.
• Experience managing analytics delivery across multiple stakeholders, business areas or product portfolios.
• Experience working with data engineering or technology teams to deliver data assets, reporting layers or analytics enablement.
• Retail, FMCG, telco, financial services, eCommerce, logistics or customer analytics experience are advantageous.

Technical Skills

• Strong understanding of data extraction, transformation and analytical table creation.
• Strong data quality, reconciliation and QA capability.
• Ability to define, review and standardise KPI definitions, metric logic and reporting rules.
• Dashboarding and visualisation experience, preferably Looker Studio.
• Ability to review analyst outputs for accuracy, consistency, commercial relevance and decision-readiness.
• Ability to translate business requirements into data and analytics requirements.
• Understanding of data privacy, governance and POPIA principles.

Soft Skills

• Strong people leadership, coaching and mentoring ability.
• Confident communicator who can simplify complex data into business language.
• Strong stakeholder management across business and technical teams.
• Structured thinker with strong prioritisation and delivery discipline.
• Commercially curious and able to connect analytics to business decisions.
• High attention to detail and commitment to quality.
• Resilient, proactive, accountable and supportive.