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.

What You’ll be Doing

  1. Conduct exploratory data analysis using statistical techniques to identify patterns, trends, anomalies, and insights.
  2. Work closely with business and product teams to prioritise data needs and support decision-making.
  3. Perform impact and gap analysis, recommending improvements based on product and business requirements.
  4. Create data visualisations & reports to effectively communicate findings to stakeholders.
  5. Collaborate with Data Engineering to automate insights for recurring data requests.
  6. Collaborate with Operations for timely and accurate data inputs for Reconciliation.
  7. Act as a gatekeeper for data quality, ensuring accuracy and consistency across individual and merged datasets.
  8. Handle ad-hoc requests for data discovery and analysis to support business objectives.

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.

Who You’ll Be Working with:

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

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

Tagged as: Data, Science, Technology