You’re eager to develop data tools and inclusive data ecosystems to assist public and development actors in making informed decisions. You aspire to tackle global issues, from the spread of pandemics to climate change to youth unemployment, ensuring no population is left behind. You are a dedicated problem solver with an entrepreneurial spirit, committed to professional excellence. You are curious and a fast learner. You are disciplined and attentive to data systems. You are self-driven, agile and can work independently and on multiple engagements simultaneously. You do not shy away from working in multicultural and multi-location teams. You value diversity.
As a Consulting Data Fellow, you will:
- Become an active member of project teams.
- Gain hands-on experience in building data solutions.
- Rotate between project management roles, understanding different functions’ contributions.
ESSENTIAL QUALIFICATIONS AND SKILLS
- Domain knowledge:
- Understanding of the social impact sector and its unique challenges and opportunities. Familiarity with the needs and pain points of both public and private sector clients in the social impact space.
- Technical skills:
- Experience with data visualization tools like Tableau, Power BI, or similar for effective data communication.
- Knowledge of AI technologies and their practical implementation in product development.
- Product management:
- Critical thinking and problem-solving to develop innovative solutions to client challenges.
- Ability to translate business requirements into technical specifications.
- Communication and Collaboration:
- Strong written and verbal communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Strong presentation skills to pitch ideas, present findings, and lead internal meetings.
- Work authorization in Kenya or Uganda.
Anyone fulfilling the essential qualifications is encouraged to apply.
DESIRABLE QUALIFICATIONS AND SKILLS
- 0-2 years of experience working with digital solutions.
- Familiarity with machine learning concepts and algorithms, understanding their application in decision support tools.
- Understanding of data engineering principles for data collection, processing, and storage.
- Proficiency in agile methodologies for iterative development and responsiveness to change.
- Project management skills to coordinate cross-functional teams and ensure timely delivery.
- Familiarity with UX/UI principles to ensure user-friendly product designs.
- Strong presentation skills to pitch ideas, present findings, and lead internal meetings.
- Ability to build relationships with clients, understanding and adapting to their evolving needs.
