About Tugende

Tugende uses asset finance, technology, and a customer-centric model to help informal sector entrepreneurs dramatically increase their economic trajectory. Tugende’s core asset finance packages include medical and life insurance, training, safety equipment, and digital credit profiles in addition to affordable asset financing for SMEs. By helping clients grow economically and build digital track records of responsibility, we are creating a long-term ecosystem for MSMEs to grow and thrive.

Tugende is tackling the credit gap for small businesses in Africa by enabling informal entrepreneurs to 1) own income‑generating assets, 2) build a verifiable digital credit profile, and 3) earn future growth opportunities through the Tugende digital platform. This platform includes discounts, smartphones, e‑commerce opportunities, and on‑demand credit lines. Tugende has financed 70,000+ clients and has hundreds of employees serving clients across 23 branches in Uganda and 10 in Kenya.

About the role
The Data Analyst will play a central role in the management, analysis, and integrity of Tugende’s data ecosystem. They serve as the data quality and validation authority for the Data Warehouse.

Beyond traditional reporting, this role drives Tugende’s shift toward predictive analytics and AI-driven decision-making, supporting leadership with forward-looking insights, automation pilots, and model experimentation. The ideal candidate is a hands-on hybrid, equally strong in SQL and Power BI as they are in Python and statistics. They must be able to move from data validation to insight, from insight to forecast, and from forecast to business recommendation.

Key Responsibilities:

• Data Governance & Warehouse Oversight
  • Validate new data views, transformations, and integrations from internal systems
  • Maintain comprehensive documentation of data lineage, refresh frequencies, and ownership.
  • Detect and resolve data inconsistencies before they impact reporting.
• Business Intelligence & Reporting
  • Design and continuously improve Power BI dashboards for senior management and departments.
  • Define and standardize business metrics, KPI logic, and naming conventions.
  • Translate business requirements into structured datasets and refresh strategies.
  • Deliver timely ad hoc analyses and monthly summaries highlighting key performance trends.
  • Ensure dashboards are accurate, actionable, and aligned with Tugende’s strategic priorities.
• Data Quality Monitoring
  • Implement automated validation and anomaly detection scripts.
  • Establish monitoring dashboards that track data accuracy, timeliness, and completeness.
  • Maintain a Data Accuracy Index and report quarterly results to the CTO.
  • Build automated alerts for failed refreshes, missing data, or irregular patterns.
  • Partner with engineering to enforce reconciliation standards and data integrity practices.
• Predictive Analytics, Machine Learning & AI
  • Design and maintain predictive models for loan performance, client churn, product adoption, and revenue forecasting.
  • Collaborate with the CTO and Principal Engineer to prepare AI-ready datasets and feature stores.
  • Build and deploy pilot models such as:
    • Risk scoring and repayment probability
    • GPS-based asset recovery prediction
    • NLP models analyzing client feedback or call center transcripts
  • Implement the roadmap for AI integration into business processes and reporting systems.

Qualifications and Skills:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field
• Minimum of 2 years’ experience in data analytics, BI, or applied data science in fintech, banking, or fast-paced tech environments.
• SQL proficiency
• Expert in Power BI (DAX, Power Query, Dataflows).
• Experience with Python or R for predictive and statistical analysis.
• Strong communication and analytical presentation skills.

Why Join Tugende

• Play a key role in shaping Tugende’s data-driven strategy and AI roadmap.
• Work directly with the CTO and leadership team on high-impact analytics initiatives.
• Join a mission-driven fintech transforming access to opportunity across Africa.
• Build a career at the forefront of innovation in data and AI.

• Data Governance & Warehouse Oversight
  • Validate new data views, transformations, and integrations from internal systems
  • Maintain comprehensive documentation of data lineage, refresh frequencies, and ownership.
  • Detect and resolve data inconsistencies before they impact reporting.
• Business Intelligence & Reporting
  • Design and continuously improve Power BI dashboards for senior management and departments.
  • Define and standardize business metrics, KPI logic, and naming conventions.
  • Translate business requirements into structured datasets and refresh strategies.
  • Deliver timely ad hoc analyses and monthly summaries highlighting key performance trends.
  • Ensure dashboards are accurate, actionable, and aligned with Tugende’s strategic priorities.
• Data Quality Monitoring
  • Implement automated validation and anomaly detection scripts.
  • Establish monitoring dashboards that track data accuracy, timeliness, and completeness.
  • Maintain a Data Accuracy Index and report quarterly results to the CTO.
  • Build automated alerts for failed refreshes, missing data, or irregular patterns.
  • Partner with engineering to enforce reconciliation standards and data integrity practices.
• Predictive Analytics, Machine Learning & AI
  • Design and maintain predictive models for loan performance, client churn, product adoption, and revenue forecasting.
  • Collaborate with the CTO and Principal Engineer to prepare AI-ready datasets and feature stores.
  • Build and deploy pilot models such as:
    • Risk scoring and repayment probability
    • GPS-based asset recovery prediction
    • NLP models analyzing client feedback or call center transcripts
  • Implement the roadmap for AI integration into business processes and reporting systems.

• SQL proficiency
• Expert in Power BI (DAX, Power Query, Dataflows).
• Experience with Python or R for predictive and statistical analysis.
• Strong communication and analytical presentation skills.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field
• Minimum of 2 years’ experience in data analytics, BI, or applied data science in fintech, banking, or fast-paced tech environments.