Nigeria Data Quality Coordinator at One Acre Fund

One Acre Fund is a nonprofit organization that supplies smallholder farmers in East Africa with asset-based financing and agriculture training services to reduce hunger and poverty. Headquartered in Bungoma, Kenya, the organization works with farmers in rural villages throughout Kenya, Rwanda, Burundi, Tanzania and recently Malawi. Using a market-based approach, One Acre Fund facilitates activities and transactions at various levels of the farming value chain, including seed sourcing and market support. In 2013, farmers who worked with One Acre Fund realized a 180% return on their investment and significantly increased farm income on every planted acre.

About the Role

• Seeking a detail-oriented data professional to own survey design, data quality, and analysis within One Acre Fund's MEL team, working closely with field teams to ensure accurate, timely data that informs program decisions and improves impact for farmers.

Responsibilities

Survey Development and Programming

• Program surveys in CommCare with little support and ensure all data quality controls (display conditions, validation conditions, warning messages) are in place before rollout.
• Respond to feedback from the field team and improve CommCare surveys based on challenges during survey implementation.
• Test all surveys before data collection.
• Stay up-to-date with CommCare features, and ensure surveys incorporate all needed features for maximum efficiency and high data quality.

Data Quality Management

• Perform error-checking analysis on all ongoing surveys.
• Analyze back-check data and communicate results to the field team to help improve data quality.
• Develop running error trackers and communicate with the field team to understand and correct errors.
• Communicate error check and back check results to the field team and management to improve data quality.

KPI, Inventory and Performance Tracking

• Maintain the MEL team's goals tracker: keep track of survey completion rates, backcheck completion rates, and survey errors and corrections.
• Use CommCare to calculate KPIs (incl. automation using Zapier), with minimal to no manager support.
• Produce KPI reports and share with field teams (incl. automation using Zapier), with minimal to no manager support.
• Keep track of inventory and resolve technical problems with departmental tablets.

Data Cleaning and Analysis

• Analyze quantitative summary statistics in Excel and/or Stata and prepare results tables for results communication.
• Perform qualitative data analysis of focus group and interview transcripts.
• Create export in CommCare, with no manager support.
• Manage variable renaming process (incl. renaming variables, as per existing guidance) within Stata, with minimal manager support.

Training and Mentoring

• Train enumerators on survey best practices before each survey rollout.
• Act as a role model and mentor to field supervisors and enumerators.
• You may be responsible for managing Field Supervisors.

Qualifications

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

• Bachelor’s degree in Statistics, Economics, Computer Science, Information Management, or a related field.
• Minimum of 3 years of proven experience in data analysis, data cleaning, and data quality management.
• Knowledge of Excel (complex formulas, pivot tables, data visualization).
• Strong proficiency in statistical software, specifically Stata.
• Experience with mobile data collection tools like CommCare (including survey design and programming).
• Familiarity with automation tools like Zapier.
•  Demonstrated ability to design, program, and deploy surveys and data collection instruments.
• Strong ability to troubleshoot technical issues independently.
• Exceptional organizational skills with the ability to create structure out of chaotic workflows and manage multiple data streams.
• A rigorous approach to data accuracy and quality assurance.
• Ability to work autonomously, take ownership of projects, and drive them to completion.

Method of Application

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