Data Analyst - Fido


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Fido Data/Records Management Jobs in Accra


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Who we are

Fido empowers millions across Africa to take control of their finances with ease. As a leader in cutting-edge financial technology, Fido clears the way for building credit, securing instant loans, making smart investments, and obtaining tailored insurance. No banker’s hours, no hidden fees - just endless opportunities.

From city centers to rural communities, Fido is breaking barriers and creating financial freedom, providing access to innovative tools and services that foster growth and empowerment. By leveraging advanced technology, Fido is shaping a future of opportunity and financial inclusion across the continent.

Join the team and be a part of leading this transformative change, driving impact where it matters most.


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What you will do

  • Conduct a thorough analysis of Fido’s product, business and operational activities
  • Data analysis focal for Fido’s departments (Marketing / Product / Risk / Finance / Bizdev / ext)
  • Applying advanced statistical concepts
  • Closely collaborate with other data analysts, data engineers and data scientist
  • Build and maintain the dashboards and KPIs
  • Provide analysis and insights to support our business growth
  • Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences

Who you are

  • 5+ years of experience as a Data Analyst / BI Analyst in Saas or B2C company.
  • BSc in computer science or equivalent.
  • Strong SQL skills and experience of working with large datasets and analytical databases.
  • Knowledge of data visualization tools like Tableau / PowerBI or any other equivalent tool.
  • Excellent analytical and problem-solving abilities with a proactive approach to addressing challenges.
  • Ability to think outside the box and develop innovative approaches to tackle complex challenges, driving unique and impactful solutions.
  • Excellent communication skills, independence and proactively drive initiatives across the organization.
  • Experience in Marketing or Product-related analysis - advantage.
  • Experience with financial data - advantage.
  • Experience with python - advantage.

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