Data Analyst; Data Monetisation

Overview

, a leading South African online retailer, is looking for a highly talented Data Analyst to join our team in Cape Town.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

Think you’ve been challenged before? Think again!

• Scale
  : 4 million happy shoppers shop online on  Show them what you can do.
• Learn
  :
  We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time.
• Grow
  :
  Expand your career in the fast-growing Takealot Group:  and Mr
  
  D. We like to promote from within:
  Here’s your chance.

The Data Insights & Monetisation team is responsible for building Takealot’s external-facing data products for sellers, suppliers and brands. Our mission is to transform Takealot’s rich first-party data into high-value insight products that help partners grow their businesses—while creating a new, scalable revenue stream for Takealot.

We build:

• Seller, supplier and brand-facing dashboards and reports
• Commercial insight products (e.g., performance benchmarking, category intelligence, demand signals)
• Data-as-a-service and API-based offerings
• Experimentation and measurement frameworks for commercial partners
• This team operates at the intersection of data, product, and commercial strategy. We are building a product-led insights business from the ground up.

As a Data Analyst, you will be a core architect of Takealot’s data monetisation capability. You will:

• Design and build analytical products that are used by external customers (sellers, suppliers, brands, agencies)
• Partner closely with Product Managers, Engineers, Commercial teams, and Leadership
• Translate raw data into insight narratives that drive action and revenue
• Define the metrics, models, and frameworks that underpin monetised data products

This is not a traditional “internal BI” role. You are building commercial-grade data products—where clarity, trust, and impact matter as much as technical correctness.

This position reports to the Advanced Analytics Manager

Building Monetisable Insight Products

• Design and deliver high-quality datasets, metrics, and models that power seller- and brand-facing insight products.
• Help define what “good” looks like for external data products: accuracy, interpretability, relevance, and actionability.

Translating Data into Commercial Value

• Turn complex platform data (orders, traffic, pricing, availability, promotions, ads, fulfilment) into clear commercial narratives.
• Help partners answer real business questions:
  Where am I winning? Where am I losing? What should I do next?

Defining Success & Trust

• Own metric definitions, data contracts, and validation logic for external-facing products.
• Ensure insight products are consistent, explainable, and trusted by customers.

Scaling Insight Delivery

• Build reusable analytical frameworks for benchmarking, cohorting, segmentation, and trend analysis.
• Enable self-serve insights while preserving analytical rigor.

Partnering Across the Business

• Work with Product to shape roadmap priorities.
• Collaborate with Commercial teams to align insights to seller & supplier needs and monetisation strategy.
• Act as a thought partner to Engineering on data models and pipelines.

• Solutions-oriented, with strong product and commercial instincts
• Comfortable operating in ambiguity and building from first principles
• Able to balance analytical depth with clarity and usability
• Ownership-driven, with high personal accountability
• Curious about how data becomes a product, not just a report
• Customer-centric: you care how real people interpret and use data

• Bachelor’s Degree, BTech or Advanced Diploma in Information Systems, Computer Science, Mathematics, or Engineering and 5 years of experience in an Analyst or in a similar analytical role.
• In the event that you do not have a…