Senior Analyst: Customer Analytics & Insights

Listing reference: 025848

Listing status: Online

Apply by: 6 August 2026

Position summary

Industry: Wholesale & Retail Trade

Job category: Strategic marketing

Location: Cape Town

Contract: Permanent

Remuneration: Market Related

EE position: Yes

About our company

Clicks Group

Introduction

We have an exciting opportunity available for a Senior Analyst: Customer Analytics & Insights to join our Marketing Team. This role be based at Clicks Head Office, Woodstock and report into the Head: Customer Marketing & Data Analytics.

Job description

Job Purpose

To lead high-impact customer, marketing and loyalty analytics that convert Clicks’ customer data into clear commercial decisions, measurable customer value and improved marketing effectiveness. The role will strengthen analytics capability, governance and decision support across Customer Marketing and Loyalty, while developing the strategic, technical and leadership competencies required to progress into Head of Analytics.

Job Objectives

Translate customer, loyalty and market data into actionable insights that influence marketing, merchandising, digital, loyalty and commercial decisions.

Build a robust customer analytics capability that moves the business from reactive reporting to proactive insight, predictive intelligence and performance optimisation.

Lead analysis across ClubCard, customer lifecycle, segmentation, churn, CLV, campaign performance, partner value and personalised offer effectiveness.

Define and embed consistent measurement frameworks for marketing ROI, incremental sales uplift, test-and-learn, campaign attribution and customer value.

Partner with business stakeholders to prioritise analytics work against strategic value, commercial impact and customer outcomes.

Develop scalable reporting, dashboards and self-service analytics that reduce manual effort and improve speed to insight.

Support the evolution of analytics ways of working, standards, governance, data quality and insight storytelling across the business.

Develop leadership capability through coaching, stakeholder influence and ownership of cross-functional analytics initiatives, preparing for future Head of Analytics accountability.

Minimum requirements

Job related knowledge

Essential:

Customer analytics, CRM, loyalty, segmentation, campaign measurement,

Statistical methodology

Forecasting, retail trading metrics

Data governance, data quality

Marketing ROI

Test-and-learn

Customer lifecycle management

Dashboarding and insight storytelling

Desirable:

Advanced analytics

Machine learning concepts

CLV/churn modelling, attribution modelling, marketing mix modelling

Data monetisation

AI-enabled insights

Data product management and retail/pharmacy /eCommerce analytics

Job related skills

Advanced SQL and data extraction skills; ability to work with large, complex customer and transactional datasets

Strong analytical, statistical and problem-solving skills with sound commercial judgement

Dashboarding and visualisation capability using Power BI or equivalent tools

Strong Excel and PowerPoint skills, including executive-level insight storytelling

Ability to translate complex analytics into simple recommendations and business action

Strong stakeholder management, facilitation and influencing skills

Project prioritisation, planning, documentation and delivery discipline

Coaching capability and ability to build analytical standards/playbooks

Job experience

Essential:

Minimum 6–8 years’ experience in analytics, customer insights, CRM, loyalty, marketing analytics, retail analytics or data-driven decision support

Proven experience using customer data to influence commercial decisions and campaign performance

Experience building or improving dashboards, measurement frameworks and recurring analytics outputs

Experience partnering with senior stakeholders and converting ambiguous business questions into structured analysis

Desirable:

Retail, loyalty, pharmacy, FMCG, eCommerce or omnichannel experience

Leadership exposure, coaching experience or demonstrated readiness to lead an analytics function

Education

Relevant Bachelor’s degree in Statistics, Economics, Finance, Data Science, Information Systems, Mathematics, Commerce or related field.

Postgraduate qualification in Analytics, Data Science, Business Science, Statistics, Marketing Analytics or MBA advantageous.

Certifications in SQL, Power BI, cloud analytics, data science, agile/project delivery or privacy/data governance advantageous

Competencies

Leading and Supervising

Writing and Reporting

Persuading and Influencing

Presenting and Communicating Information

Applying Expertise and Technology

Analysing

Planning and Organising

Delivering Results & Meeting Customer Expectations

Formulating Strategies and Concepts

Entrepreneurial and Commercial Thinking