What this life looks like
You use data to understand how people use digital products — and help make them better. Product Analysts measure product performance, analyse user behaviour, run experiments, and provide the evidence that product teams need to make good decisions about what to build and how to improve what exists. As Africa's digital product economy grows, the demand for data-informed product decision-making — and the analysts who enable it — is growing with it.
What she actually does
You define and track product metrics, build dashboards and reports, conduct user behaviour analysis using analytics tools, design and analyse A/B tests, develop user cohort analyses to understand retention, identify patterns that indicate product problems or opportunities, collaborate with product managers, designers, and engineers to translate data into product decisions, and communicate findings clearly to technical and non-technical audiences.
Where you can work
| Sector | Places in Africa |
|---|---|
| Tech Startups | African FinTech, e-commerce, and consumer apps employing product analysts as they scale |
| Established Tech | MTN, Safaricom, Vodacom — major telecoms with large data and product analytics teams |
| E-Commerce | Jumia, Takealot, Konga — large e-commerce operations requiring product analytics for conversion and retention |
| Consulting | Data analytics consulting firms serving digital product companies across Africa |
Why it matters in Africa
As African tech companies scale — Paystack, Flutterwave, Chipper Cash, PiggyVest, Jumia, OPay — they need data-informed product decisions that can only be made by analysts who understand their users deeply. Product analytics is a career that combines technical data skills with product intuition and business understanding — making it one of the most intellectually engaging analytical roles in the digital economy. The skills are also highly transferable across companies and sectors.
Your pathway in
- Build SQL skills first: product analysts spend significant time querying data in databases, and SQL is the universal language — Mode Analytics' free tutorial is the best starting point
- Learn a product analytics tool: Mixpanel, Amplitude, and Google Analytics 4 are widely used — most offer free accounts that let you learn through direct use
- Develop A/B testing knowledge: understanding how experiments are designed, run, and analysed — including statistical significance — is foundational for product analytics
- Build data visualisation skills: Tableau, Looker, and Google Data Studio all enable communicating findings visually — the ability to build clear, informative dashboards is a core product analytics skill
- Develop product sense: thinking like a user and understanding what makes products good or bad is as important as technical data skills in product analytics
Skills you will need
- SQL for data querying
- Product analytics tools (Mixpanel, Amplitude, GA4)
- A/B testing and experimentation analysis
- Data visualisation (Tableau, Looker)
- Statistical analysis basics
- Communication of data findings to non-technical audiences
A woman in this field
Seun Runsewe
Nigeria
Seun Runsewe is a prominent Nigerian fintech product leader, cybersecurity expert, and entrepreneur who made history at age 28 as one of Africa's youngest banking CEOs. Recognized by Vogue as a visionary woman at the forefront of West Africa's tech boom, she has spent over a decade building financial and security infrastructure utilized by over 100 million people across the continent. She was an early business lead team member at Paystack (acquired by Stripe) and later drove retail growth as the Director of Product at OPay. She has also managed major product portfolios for prominent African fintech platforms like Chipper Cash and Eyowo.
Take your first step
- Complete Mode Analytics' free SQL tutorial at mode.com/sql-tutorial — it is the most practical and comprehensive free SQL course for product analysts, teaching you to query real databases to answer product questions
- Create a free Mixpanel account at mixpanel.com — Mixpanel offers a free tier and extensive documentation that lets you learn product analytics by setting up tracking for any website or app and exploring the resulting data
- Study the Mixpanel blog at mixpanel.com/blog — they publish extensively on product analytics concepts, metrics frameworks, and case studies that build your understanding of how product analysts think and work
- Join the Women in Data Africa community and Lagos Data Science on Facebook and LinkedIn — connecting with the data analyst community in Nigeria and Africa accelerates learning, surfaces opportunities, and provides mentorship access
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