Data Specialist

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.

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