Senior Data Analyst (Customer Analytics)
Summary
Senior Data Analyst answering customer-intelligence questions (segmentation, retention, lifetime value, campaign effectiveness) for Dis-Chem's customer base and Better Rewards programme using Databricks SQL and applied statistics. Hybrid role based in Melrose Arch, South Africa, with stakeholder-facing work and mentoring of intermediate analysts.
We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.
Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?
There’s only one question left: are you ready to make healthcare smarter, and actually mean it?
The Senior Data Analyst (Customer Analytics) answers the Customer Intelligence team's hardest questions with data: segmentation, retention, lifetime value and campaign effect across Dis-Chem's customer base and the Better Rewards programme. The role analyses certified gold customer datasets in Databricks SQL, applies statistics and effect measurement, and delivers recommendations the tribe acts on. Chapter home is Data Analytics; delivery home is Customer Intelligence in the Customer Lifecycle Value tribe.
WHAT WE'RE LOOKING FOR?
Minimum
- Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related field, or equivalent practical experience.
- 5 or more years in data analysis, with substantial customer analytics experience: segmentation, retention and churn, lifetime value, campaign measurement.
- Expert SQL on large datasets.
- Strong applied statistics: hypothesis testing, experiment design and effect measurement.
- Data modelling literacy: reads and navigates star schemas and gold models.
- A track record of presenting to and influencing senior stakeholders.
Advantageous
- Loyalty-programme analytics: Better Rewards is the live programme here.
- Python or R for deeper statistical work.
- SAP business context: what BW reports mean and the data behind them. We teach this during the migration off SAP BW.
- Retail or healthcare.
WHAT YOU WILL BE DOING?
- Analyse segmentation, retention, lifetime value and behaviour drivers on certified gold customer data, using sound statistical method, so that Customer Intelligence decisions rest on evidence.
- Measure the effect of Braze campaigns and CRM initiatives using sound test design so that spend shifts to what works.
- Use certified gold and metric views only, document methods, and promote recurring customer metrics to Analytics Engineers for certification as metric views, so that the tribe reports one version of the truth.
- Lead problem framing with Customer Intelligence stakeholders and mentor intermediate analysts so that the tribe's analytical capability grows.
WHO YOU ARE?
- Have a deep business context behind the hardest questions and the gold-layer contract. Customer analytics concepts: segmentation, retention, lifetime value and campaign measurement.
- Structured ambiguous questions into testable analysis.
- Be able to explains findings to technical and business audiences.
- Ability to partner with stakeholders from question to decision.
- Runs multiple analyses in parallel, unblocks others and manages stakeholder expectations.
Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.
Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.
Skills
As published by greenhouse · 11 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (6)
- What is your current role and company you work for?
- What is your notice period? optional
- What is your current salary?
- Where are you currently located?
- If you were referred by an X, bigly labs employee? Please specify their name
- What is your ID Number/Passport Number?
Pick from a list (5)
- Are you a South African citizen?
- How did you hear about the role?
- Do you have 4–6+ years' experience in Customer Data Analytics within Retail, eCommerce or FMCG?
- Do you have advanced hands-on experience using SQL and Power BI to analyse large datasets and develop executive dashboards?
- Do you have hands-on experience analysing large-scale customer transactional data to identify customer behaviour, trends, retention, churn, and purchasing patterns, and turn these into actionable business insights?