Fresh Jobs at Moove Africa

About The Role

• As a Customer Success Executive at Moove, you will play a key role in ensuring our clients' satisfaction and success.
• Your responsibilities will include building strong relationships with customers, understanding their needs, and proactively addressing any issues or concerns.
• You will work closely with cross-functional teams to deliver solutions, provide product insights, and contribute to the overall growth of client accounts.
• This role offers an exciting opportunity to foster client engagement, promote retention, and contribute to the continuous improvement of Moove's products and services.

What You’ll Be Doing
Monitoring drivers’ performance.

• Conducting daily check-in on drivers’ pulse.
• Supporting drivers.
• Solving driver's issues while drivers are in transit.
• Receiving inbound calls from drivers.
• Making outbound calls to drivers.
• Conducting driver survey.
• Compiling data from drivers survey
• Accountability of all Moove vehicles
• Ensuring that drivers obey rules and regulations as laid down by the company.
• Ensuring that drivers get the right information from the company.

What You Will Need For This Position

• Degree in any discipline.
• 2-years experience in customer care/support roles.
• Experience in the transportation industry is an added advantage.
• Proficient in the use of Microsoft Suites (Excel).
• Ability to manage people.
• The candidate must possess an eye for details.

Key Metrics:

• Daily retention targets as % of return walkins
• Weekly churn targets
• Daily Ticket resolutions for DPs basis physical and remote interactions
• Daily Driver performance basis supply hour and trip targets of the city
• Daily helping DPs increase earnings if SH is at optimal level, monitored via week on week DP earnings
• Overall DP portfolio monitoring basis allocated count of DPs

Who You'll Be Working with:

• Directly reporting to our Customer Success Manager, and closely working with our Operations Team.

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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

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

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.

Who You'll Be Working with:

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