Responsibilities

Build Foundational, Self-Service BI Data Products

• Design, build, and maintain high-impact, organization-wide dashboards (“tentpole dashboards”) that enable self-service analytics across functions.
• Ensure dashboards and reports are accurate, well-documented, and built for long-term sustainability.
• Monitor adoption and continuously improve usability and relevance.

This role is less focused on one-off data projects and more focused on building durable tools that people consistently use and trust.

Own Analytical Domains and Partner with Data Engineering

• Serve as the primary analyst for specific data domains (e.g. Finance, People, Supply Chain, etc.).
• Deeply understand business processes and logic within those domains.
• Own the full delivery of dashboards and data analytics products: make prioritization decisions, understand user needs, wireframe and design outputs, own delivery and iteration.
• Partner closely with Data Engineers to ensure business rules are embedded in the warehouse and semantic layer.
• Clearly communicate data limitations and ensure metric consistency.

The goal is to ensure logic lives in the data model — not scattered across dashboards.

Strengthen Analytical Standards Across the Organization

• Contribute to and help lead a community of practice for embedded analysts.
• Codify and uphold standards for dashboard design, documentation, governance, and metric definition.
• Support adoption of best practices in BI development and data storytelling.

Career Growth and Development

We have a strong culture of constant learning and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.

Qualifications

Across all roles, these are the general qualifications we look for. For this role specifically, you will have:

• 3+ years of experience in data analytics or BI development.
• Strong SQL skills; working knowledge of Python or R preferred.
• Experience building automated data workflows and scalable dashboards in BI tools (Superset, Power BI, Dataiku preferred).
• User-Centric Data Design: Proven ability to practice stakeholder empathy—moving beyond simple requirements-gathering to deeply understand the operational context of our users
• Understanding of data modeling concepts and semantic layers.
• Ability to translate complex business logic into clear, usable data products.
• Experience with data storytelling and communicating insights to diverse audiences.
• English fluency. Other useful languages are Swahili, Kinyarwanda, Kirundi, and French