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Senior Data Analyst - Nigeria at Carry1st

Carry1stNigeria Data and Artificial Intelligence
Full Time
Carry1st is the leading publisher of social games and interactive content in Africa. We work with studios across the globe - from Addis Ababa to Sofia to New York City - to level up their games and scale in dynamic, frontier markets. In addition to our full-stack publishing service, we’ve built a proprietary payments and ecommerce experience which allows customers to pay for digital content, even when they don’t have a credit card.

  • As Sr Data Analyst, you will be responsible for driving customer satisfaction and loyalty on our online shop and payment gateway by analysing customer behavioural data, purchase propensities, and crm lifecycles.
  • You will generate deep insights on customer engagement, preferences, and propensities - supporting our Product and Growth teams in scaling our shop and payment gateway as the go-to brands in Africa.
  • As a senior analyst in our Data org, you will work closely with our VP Data in developing frameworks for scaling platform analytics as our products and partners multiply.


You will …

  • Uncover insights in customer behaviour and propensities to inform content and design of our shop
  • Design and analyse tracking events for our shop and payment gateway to uncover patterns, frictions, and bugs
  • Deeply understand customer lifecycles and propensities to develop CRM models
  • Partner with Product and Growth stakeholders and take the technical lead in designing experiments that help evolve user experience and marketing strategies
  • Advise Growth on feedback loops to optimise user acquisition via LTV segmentations
  • Develop behavioural and value segmentations that drive deeper thinking about our unit economics
  • Bank general customer insights to drive Carry1st’s strategic direction via new business models

What makes you a great candidate?

  • Degree in Economics, Physics, Statistics, Complex Systems or similar
  • Minimum 3 years experience in e-commerce and/or fintech analytics
  • Strong mathematical and statistical acumen
  • Solid SQL skills and practical analytics/data science experience with Python
  • Practical experience with a visualisation tool, preferably Tableau
  • Solid experience with Google Analytics (preferably GA4) and Big Query
  • Strong analytical and problems solving skills as a foundation for adaptability in an ambiguous and agile environment of diverse backgrounds
  • Ability to effectively communicate complex insights and hypotheses to business stakeholders

Method of Application

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