Data Analyst

The ideal candidate will prepare detailed credit reports and recommendations for management or credit committee approval.

The ideal candidate will be responsible for managing study data collection forms and databases, data entry of paper-based clinical forms into the REDCap study database.

The ideal candidate will analyze yield per hectare, soil health metrics, and input costs to optimize planting and harvesting strategies.

The ideal candidate will assist in translating concepts and ideas into products and services, thus ensuring that approved concepts relating to consumer segments are converted to product design specifications.

The ideal candidate identifies opportunities, leads proof-of-concept (POC) initiatives to test hypotheses, and collaborates with the Head of Data to unlock transformative efficiencies across operations in Kenya, Uganda, and Côte d’Ivoire.

The ideal candidate is expected to collaborate across teams to align data visualizations with business needs, optimizes existing dashboards, performs root cause analyses, and maintains a trusted, efficient reporting ecosystem.

This role involves overseeing data analytics, performance reporting, and insight generation to drive strategic initiatives and operational efficiency across the fintech organization.

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to support business decisions, improve sales performance, and drive operational efficiency.

The ideal candidate is expected to review programme documents, previous assessments of partners, and relevant literature.

The ideal candidate is expected to bridge between data engineering and analytics, ensuring that our raw data is transformed into clean, reliable, and accessible datasets that power decisions across the business.

The ideal candidate is expected to focus on validating and sense-checking numbers from partnerships, ensuring accuracy in reporting, and identifying gaps or discrepancies in commercial data.

The ideal candidate is expected to develop a working knowledge of business processes across key functions and how they are supported by SaaS applications.

The ideal candidate will public information and organise it for marketing. We start you with simple guidelines, examples, and checklists.

The position will be responsible for reviewing data collection practices and mechanisms and will advise the coordination team on data management and data protection.

The ideal candidate is expected to have over 10 years of professional experience and holders of postgraduate degree with professional qualification in the area of interest from recognised institutions.

We’re looking for a seasoned professional to provide hands-on mentorship and technical support in advanced scheduling and reporting using Microsoft Project and Power BI.

The ideal candidate is expected to have a Bachelor’s degree in computer science, Computer Engineering, Information Technology, or a related field.

The ideal candidate is expected to play a pivotal role in driving customer-focused initiatives by analyzing data and processes to enhance the overall customer journey.

The ideal candidate is expected to have a BSc degree in remote sensing and spatial data science is required with proven ability to perform complex data science and remote sensing tasks and combine various (remotely sensed) datasets.

The ideal candidate is expected to Analyze business and operational data to generate actionable insights.