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  • Posted: Jul 11, 2025
    Deadline: Not specified
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  • Moove is on a mission to make Africa and other emerging markets more productive and successful by redefining access to auto finance and vehicle ownership. Our starting point is a technology-enabled lending model to radically transform the availability of auto finance and vehicles for on-demand ridesharing services across tier 1 African cities. By doing so, Moove is creating sustainable jobs for mobility entrepreneurs in the mobility sector.
    Read more about this company

     

    Data Analyst, Reconciliation & Payments

    About the Role

    • As a Data Analyst for Reconciliation & Payments, you will support Moove’s operations by performing data analysis, ensuring data quality, and providing business insights. 
    • Your role will involve conducting exploratory analysis, automating recurring data requests, and supporting business and product strategies with actionable insights.

    Responsibilities
    What You’ll be Doing:

    • Develop and maintain cross browser compatible web and mobile based applications and work closely with team to enhance existing functionalities
    • Take charge and be a decision driver for assigned web platforms
    • Ability to explain issues, decisions and solutions to the team succinctly
    • Produce prototypes and effectively articulate design decisions
    • Keep up-to-date on emerging technology solutions, particularly those on JavaScript, for continuous improvements in front-end application development and end-user experience
    • Open to work in Low-code No-code tools and Backend

    Who You'll Be Working with:

    • Directly reporting to our Lead Data Analyst , and closely working with our Product, Data and Engineering Teams.

    Requirements
    What You will need for this position:

    • Degree in Mathematics, Economics, Computer Science, Information Management, Statistics.
    • Advanced SQL proficiency (cohort analysis, complex joins, window functions, etc.).
    • Experience with Python for exploratory data analysis and automation
    • Knowledge of reporting tools like Looker/Holistics/Quicksight.
    • Experience: Proven experience in data analysis, working with business users to create reports and dashboards, and delivering actionable insights. Familiarity with statistical packages (e.g., Google Sheets, Python libraries).
    • Skills: Strong problem-solving abilities, attention to detail, critical thinking, and business acumen.
    • Ability to communicate insights clearly & collaborate with cross-functional teams.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to Moove on careers.moove.io to apply

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