DATA ANALYST LEAD - FINANCE AT KUDA BANK

About Company:

Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.

Job Description:

Data Quality & Integrity

• Perform end-to-end reconciliation of transactional data across all key systems (e.g., core banking platform [Nerve], ERP [D365/Xero], and management accounts) to ensure 100% data completeness and accuracy.
• Validate that product transaction flows and volumes match financial records.
• Support the migration of transactional data from our legacy systems onto ERP and legacy accounting systems.
• Provide critical support to the Finance team during audits, conducting ad-hoc analysis on revenue recognition, historical manual adjustments, and other data requests.
• Drive data consistency by identifying, explaining, and eliminating manual adjustments, ensuring all processes are automated and auditable.
• Govern our BI environment by decommissioning unused reports (e.g., in Looker) to establish and maintain a single source of truth for all reporting.

KPI Database & Dashboard Management

• Own, maintain, and enhance the central Finance KPI database, establishing it as the single source of truth for Finance, Growth, Product, and other departments.
• Consolidate existing reports (e.g., Ops Report, Performance Report) into the central KPI database to streamline reporting.
• Prepare and automate dynamic dashboards for the visual representation of Management Accounts.
• Develop and maintain a comprehensive data dictionary, documenting all KPI definitions and making them accessible to the entire organization.
• Automate month-end and month-to-date (MTD) KPI updates for all key metrics.
• Collaborate with finance leadership to design and build MTD Budget vs. Actuals dashboards for periodic, real-time reporting to the Executive Committee (ExCo).

Ad-Hoc BI Analysis

• Serve as the primary point of contact for ad-hoc analysis and data requests from Finance and other departments, investigating trends and answering key business questions.
• Work collaboratively with Finance, Growth, and Product teams to investigate and report on trends in key financial metrics.
• Support the Growth team by providing finance-related data points required to develop an accurate marketing attribution model.
• Analyze and present financial metrics in response to queries from town halls or other leadership forums.

Business Development & Finance Operations Support

• Partner with the Finance and Product teams to ensure any new revenue stream or product is correctly integrated from a transactional data perspective and can be accurately reported in legacy accounting systems and ERP.
• Play a key role in the month-end closing process, ensuring all transaction-level revenue and metrics are accurate and reconciled.
• Help define, build, and visualize the company's revenue model within our BI tools.
• Contribute to business development and expansion-related calls as the data expert, when required.

Requirements:

• Strong understanding of financial principles, accounting, revenue recognition, FX, and management accounts.
• Experience with ERP systems (e.g., NetSuite, Xero) and data warehouses/cubes.
• Exceptional analytical and problem-solving skills with meticulous attention to detail.
• A proactive, self-starting attitude with the ability to take initiative and manage multiple projects independently.
• Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

Qualifications and Skills:

• Bachelor's degree in Finance, Economics, Computer Science, Statistics, or a related quantitative field.
• 5+ years of experience in a Data Analytics, Business Intelligence, or Financial Analysis role.
• Experience in fintech, banking, or a high-growth digital/tech company is strongly preferred.
• Expert-level SQL skills for data extraction, manipulation, and complex analysis are essential.
• Advanced proficiency in BI and visualization tools (e.g., Looker, Power BI, Tableau) with a proven track record of building impactful dashboards.

Salary

Application Closing Date: Not specified

Application Instructions:

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