About the Role

The Global Client Data Analyst will use large, diverse, cross-country data sets to answer questions, tell stories, and inform strategy, all in service of our organizational mission : bigger harvests, healthier families, and richer soil for East African smallholder farmers. This is an associate-level consultancy. You will sit within the Global Business Operations department, a 14-person global support team, which comprises three sub-teams : client data management, client data analysis, and client protection. You will report directly to the Global Business Operations Lead, and will manage a Global Client Data Coordinator.

Responsibilities

Lead medium- and high-complexity data projects 

• Implement data projects aimed at answering big questions and solving difficult problems.
• Coordinate with team members to define project scope, timelines, and definition of success.

Build medium- and high-complexity reports and dashboards

• Collect and clarify requirements with internal clients
• Work with data engineers to avail data
• Evaluate and communicate data quality limitations
• Build reports according to client need
• Ensure existing reports are up-to-date and accurate

Team Management and skill building

• Manage a team of 1 to 2 client data coordinators
• Assess the data analytics skills and training needs of team members across the organization 
• Implement a training plan that equips those team members with the skills they need to make better, more data-driven decisions.

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
• SQL, Python, or R competence
• Experience with data storytelling
• Knowledge of ETL ideas, tools, and data structures
• Excellent project management skills
• Fluency with basic statistical techniques such as regression analysis and significance testing
• Experience with BI dashboarding tools, with a preference for PowerBI and SuperSet
• English fluency. Other useful languages are Swahili, Kinyarwanda, Kirundi, and French