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Global Client Data Analyst

Company:
One acre Fund
Location:
Kampala, Uganda
Posted:
April 30, 2024
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Description:

JOB DETAILS: 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.

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 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

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