We are looking to expand our data analytics team, and are looking for someone to develop actionable insights to enable the Bykea team to optimize business growth, develop cost-efficiencies and identify opportunities for expansions or strategic shifts.

Therefore, you must absolutely love story-telling through data, asking the right questions yourself, working without prompts, and developing insights for others to digest easily. Data visualization, probing and digging deep into data, and highlighting opportunities that are not immediately apparent is all something that you will be expected to do.


  1. Define, instrument and maintain new and existing business critical metrics, using SQL queries and beyond
  2. Serve as a strategic thought partner to the data engineering team; collaborate on building / maintaining ETLs, pipelines and automation to ensure we can understand and act on business performance accurately, scale-up, with low latency, and minimal manual upkeep
  3. Run experiments and develop dashboards and data visualizations to communicate results to leadership.
  4. Answer complex business questions via ad-hoc SQL queries to enable business and product owners to make critical decisions.
  5. Integrate insights from different sources of data to develop a holistic market and consumer understanding that is actionable and impactful for category and brand strategy
  6. Produce and distribute reports to relevant internal departments analyzing data and highlighting key areas of interest
  7. Ideally work on predictive modelling to identify future opportunities, improve automation through data science, have interest in anomaly and fraud detection automation set up, and create automated engines to drive growth


  1. Degree in Computer Sciences, Data Sciences or any related field in analytics
  2. A minimum of 3 years of relevant post-education work experience in analytics, business intelligence, market research
  3. Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports
  4. Experience using advanced SQL and databases in a business environment with large-scale, big data, complex datasets
  5. Experience with statistical modeling and analyzing large data sets
  6. Preferred experience in python , data visualization tools and automation