Template Job Description

About Moove

Moove is on a mission to build the largest mobility fintech for emerging markets. Our starting point is a technologyenabled lending model to radically transform the availability of auto finance and vehicles for ondemand ridesharing services across tier 1 African cities. By doing so Moove is creating sustainable jobs for mobility entrepreneurs in the mobility sector.

About the Role

As a Data Analyst for Reconciliation & Payments you will support Mooves LatAm and USA 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. Working with colleagues in LatAm and across the globe you must have proficiency in the Spanish and English languages.

What Youll 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 decisionmaking.

• 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.

• Act as a gatekeeper for data quality ensuring accuracy and consistency across individual and merged datasets.

• Handle adhoc requests for data discovery and analysis to support business objectives.

What You will need for this position

• Degree in Mathematics Economics CompSci Information Management Statistics.

• Advanced SQL proficiency (cohort analysis complex joins window functions etc.).

• Experience with Python or R for exploratory data analysis

• Knowledge of reporting tools like Looker/Holistics.

• 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 problemsolving abilities attention to detail critical thinking and business acumen.

• Ability to communicate insights clearly & collaborate with crossfunctional teams.

Who Youll Be Working with:

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

About the team

Our team is collaborative positive curious and engaged. We think fast work smart laugh often and are looking for likeminded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.

Moove is strongly committed to diversity within its community. The Companys approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.

Prehiring Notice: Moove relies on the accuracy of information contained in employment applications as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations falsifications or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired termination of employment.

EEO Statement: Moove is an equal opportunity employer and does not discriminate on the basis of gender race sexual orientation marital status religion political affiliation or any other protected characteristic.

Moove: Moove is a mobility asset finance company and Ubers preferred fleet partner across SubSaharan Africa. Our Vision is to democratise financial services to make our customers more productive and successful. Our Core values are Compassion Excellence Innovation Teamwork Trust and Ownership.