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. 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 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 be able 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
Apply via :
eacrefund.org
