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.
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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.
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
What You Will Need For This Position
Degree in Mathematics, Economics, Computer Science, Information Management, Statistics.
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.
Gmail
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