Associate, Program Data Management at Evidence Action

Job Title: Associate, Program Data Management at Evidence Action

Date Posted: 21th February, 2026.

Expiry Date: N/A

About the Job

The Associate Program Data Management will support the digitization of data collection tools in SurveyCTO and other electronic platforms, assisting with programming of survey logic, validations, and constraints. The role provides support to data collectors during fieldwork, including troubleshooting technical issues and flagging data quality concerns. S/he will execute data cleaning, processing, and management tasks, ensuring proper documentation and adherence to established protocols. The Associate will assist in maintaining data quality assurance systems and contribute to the generation of descriptive statistics and data summaries as needed. The ideal candidate will be detail-oriented, systematic, and able to handle multiple data streams while maintaining high standards of accuracy and documentation.

This position will be an integral part of the Data Analytics and Learning team that operates within Evidence Action's broader Monitoring, Learning, and Evaluation (MLE) team.

In this role, the Associate will report to the Senior Associate, Program Data Management, receiving guidance on data processes, contributing to team deliverables, and developing technical and professional skills.

Your Job Description

Support Development and Digitization of Data Collection Tools

Assist in digitizing data collection instruments in SurveyCTO and other electronic platforms under the guidance of the Senior Associate.

Examples of activities:
- Digitize questionnaires in SurveyCTO or other electronic data collection platforms
- Program survey logic, skip patterns, validations, and constraints as directed
- Test electronic forms and document any errors or issues identified
- Support development of activity trackers for MLE and program teams
- Troubleshoot basic technical issues with electronic forms
Provide Fieldwork Support

Assist with technical support to data collectors during fieldwork under the supervision of the Senior Associate.

Examples of activities:
- Monitor incoming data submissions and flag issues to the Senior Associate
- Assist in troubleshooting technical problems with electronic forms during data collection
- Document data quality issues identified during fieldwork
- Support communication with field teams on data corrections needed
Execute Data Quality Assurance Tasks

Implement quality checks and validation processes to support data integrity under the guidance of the Senior Associate.

Examples of activities:
- Run validation scripts to check completeness, cleanliness, and consistency of program data
- Conduct data cross-validation across multiple sources as directed
- Document and report data quality issues to the Senior Associate
- Support maintenance of quality assurance tools and dashboards
- Track recurring data quality issues and maintain documentation
Execute Data Processing and Cleaning

Carry out data cleaning, processing, and management tasks following established protocols and procedures.

Examples of activities:
- Clean, process, and prepare datasets for analysis and reporting
- Document all data cleaning processes and steps completed
- Support data collation from multiple sources into unified datasets
- Ensure secure storage and organized filing of program data
- Assist in preparing clean datasets for dissemination to stakeholders
Support Data Analysis and Reporting

Contribute to basic analysis and reporting tasks as assigned.

Examples of activities:
- Generate descriptive statistics and summaries from program data
- Assist in preparing data visualizations for program reporting
- Flag data anomalies or emerging trends to the Senior Associate
- Support preparation of analytical outputs as directed
Support Data Systems Maintenance

Assist in maintaining databases and data management systems that support program monitoring and evaluation needs.

Examples of activities:
- Support maintenance of program databases
- Generate passlists and create verification IDs for program activities
- Assist in data integration tasks across systems
- Support management of multiple data streams across Evidence Action's programs
Support Capacity Building Activities

Assist in training and capacity building activities for data management.

Examples of activities:
- Assist in conducting data quality training for staff involved in data collection
- Support development of training materials and standard operating procedures
- Help facilitate refresher trainings based on identified quality gaps
Contribute to Administrative and Departmental Operations

Support departmental operations as needed.

Examples of activities:
- Support administrative tasks as assigned by the Senior Associate
- Assist in tracking deliverables and deadlines
- Perform other data management tasks as assigned by supervisor

This job description is intended to convey essential functions and requirements. It is not an exhaustive list of duties, responsibilities, or qualifications. As Evidence Action's portfolio expands to include new grants and programs, employees may be assigned additional or modified responsibilities to support emerging initiatives. Flexibility and adaptability to evolving organizational priorities are expected.

The Job Requirements

Requirements

Qualifications

Minimum Bachelor’s degree in economics, statistics, or any other relevant field.
Minimum of 2–3 years of experience in quantitative research methods and data management, preferably with large and/or complex datasets.
At least 1-year full-time experience conducting data cleaning using Stata, R, Python, or MatLab for large datasets (mandatory).
Experience in working with and programming data entry interfaces using a variety of applications both purchased and open source. Knowledge of SurveyCTO, CSPro, ODK, KoBo, and Access will be an added advantage (SurveyCTO and/or ODK highly preferred).
Well conversant with the use of MS Office applications, especially Excel.
Ability to work under pressure in a working environment that changes suddenly to accommodate new data needs.
Strong interpersonal and communication skills to work effectively with a team that is geographically dispersed.
Self-directed/self-motivating personality, with proven ability to manage demands from multiple supervisors while adhering to program deadlines and priorities.
Strong critical and analytical thinking skills.
High attention to details and well organized.
Should have a real passion for working with data; able to think and tell a story from the data (key desirable).
Intellectual flexibility and willingness to form and adjust opinions based on evidence.
Quick to learn, motivated to self-teach, and capable of independently translating new knowledge into practice.

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