Overview

Moove is on a mission to redefine what large-scale rideshare leasing and vehicle ownership look like in Africa. We are developing an innovative model to rapidly improve the availability of vehicles for on-demand ridesharing services across major metro cities while also creating sustainable jobs for drivers

Job Position: Data Analyst, Reconciliation & Payments
Location: Lagos

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.

Job Responsibilities

  1. Develop and maintain cross-browser compatible web and mobile-based applications and work closely with the team to enhance existing functionalities
  2. Take charge and be a decision driver for the assigned web platforms
  3. Ability to explain issues, decisions and solutions to the team succinctly
  4. Produce prototypes and effectively articulate design decisions
  5. Keep up-to-date on emerging technology solutions, particularly those on JavaScript, for continuous improvements in front-end application development and end-user experience
  6. Open to work in Low-code and 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

  1. Degree in Mathematics, Economics, Computer Science, Information Management, Statistics.
  2. Advanced SQL proficiency (cohort analysis, complex joins, window functions, etc.).
  3. Experience with Python for exploratory data analysis and automation
  4. Knowledge of reporting tools like Looker/Holistics/Quicksight.
  5. 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).
  6. Skills: Strong problem-solving abilities, attention to detail, critical thinking, and business acumen.
  7. Ability to communicate insights clearly & collaborate with cross-functional teams.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Tagged as: Data, Technology