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Senior Associate, Data Analytics at Flutterwave

FlutterwaveLagos, Nigeria Data and Artificial Intelligence
Full Time

Our mission is to power a new wave of prosperity across Africa. By enabling global digital payments on a continent that’s been largely cut off from the digital economy, we’re creating the infrastructure to power Africa’s growth in the 21st Century. Founded in 2016 by a team of ex-bankers, entrepreneurs and engineers, we provide the underlying technology platform that allows businesses to make and accept payments anywhere in Africa. Our HQ is in San Francisco with offices in Lagos, Nairobi, Accra, and Johannesburg

The role:

  • We are seeking a highly skilled and motivated Senior Associate, Data Analytics to join our team.
  • You are an individual who is passionate about data, driven to make a difference, and eager to solve complex problems?
  • In this role, you will have the opportunity to analyze data, provide insights, and drive decision-making. You will be a key member of the team and will play a vital role in shaping the future of our company.

Principal Duties And Responsibilities

  • Develop and deliver analytics reporting and Business Intelligence dashboards and reports as required by business areas
  • Interpreting data and analysis into impactful, action-orientated insights for internal stakeholders
  • Promote a data-driven mindset and collaborate with stakeholders in defining business problems and delivering analytics solutions that produce tangible business results
  • Develop strong cross-functional partnerships across the company (Engineering, Product, Finance, Marketing, Operations, etc.)
  • Support the team and/or other analysts in the design, construction, and implementation of appropriate analytical processes which support business objectives.
  • Interface with business teams to understand their data requirements and provide them with actionable insights and reports.
  • Communicate key findings and insights to both technical and non-technical stakeholders using storytelling techniques
  • Perform ETLs as may be required

Competency And Skill Requirement

  • Bachelor’s degree in computer science or other related fields of core sciences or equivalent experience.
  • Minimum of 5 years experience working as a data analyst.
  • Experience with Power BI, Tableau, or similar tools for data visualization.
  • Expertise with SQL with knowledge of cloud data warehouses. Python would be a plus.
  • Experience in building statistical models and machine learning is a strong plus.
  • Domain experience in one or more of the following disciplines, such as Risk, Marketing, and Digital products is a strong plus.
  • Exceptional communication/interpersonal skills to articulate ideas, frame problems, and offer solutions.
  • Strong leadership track record with the ability to work independently and effectively with leadership teams.
  • Experience with A/B or multivariate testing.
  • A balanced strategic and tactical thinker with strong presentation, problem-solving, and analytical skills.
  • Able to manage multiple cross-functional projects across different departments.
  • Strong attention to detail, results-driven with high accuracy of output

Method of Application

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