In A Nutshell
Responsible for supporting the economic empowerment technical team in data collection, recording, gathering, quality review, and reporting.
Responsibilities
- Supports field and HQ staff with recording and gathering data, ensuring all required data points are collected according to project and donor requirements.
- Participates in and delivers economic empowerment data training activities for program staff, both in groups and one-on-one.
- Assists in the updating and maintenance of data collection resources, including manuals, guides, templates, and standard operating procedures (SOPs).
- Pulls and compiles reports from multiple data systems to support program goals and reporting requirements.
- Prepares data sets for import/export, uploads, and other transfer/consolidation processes.
- Conducts regular data quality assurance on program and project data to ensure accuracy, consistency, and completeness.
- Collaborates with field teams to improve the accuracy and timeliness of data entry and supports the resolution of data-related issues.
- Other duties as assigned.
Skillset
- Undergraduate degree or relevant work experience in social sciences or another relevant field with substantial coursework in data or quantitative methods.
- Experience working with large, complex data sets, especially within social services or economic development contexts; minimum of 2 years’ experience is strongly preferred.
- Familiarity with data collection methods, tools, and best practices.
- Experience using proprietary data systems, CRMs, and similar platforms.
- Highly proficient in Microsoft Excel; familiarity with CSV and other data formats preferred.
- Strong attention to detail and ability to perform data quality assurance in dynamic, fast-paced environments.
- Excellent organizational skills and ability to manage multiple tasks and deadlines.
- Strong written and verbal communication skills, with an ability to adapt communication for various audiences.
- Demonstrated ability to work effectively in multicultural and multidisciplinary teams.
