Data Management Intern at The Maa Trust

Key roles and responsibilities:

• Assist in updating data collection tools and templates (e.g., Excel-based trackers, KoboToolbox).
• Support field data collection (surveys, FGDs, KIIs) using digital tools (e.g., KoBoToolbox).
• Clean, code, validate, and enter data into databases (Excel, or SQL) and uploading data collected from field teams into TMT's central databases.
• Organize and archive physical and digital data records of MEAL for easy retrieval and reference.
• Assist in planning and executing Community engagement Forums

Analysis & Visualization

• Assist in analyzing quantitative/qualitative data using Excel, Power BI, or Stata.
• Create dashboards and infographics to visualize program impact for reports using PowerBI and Microsoft SQL.
• Contribute to the design and maintenance of dashboards and data visualization tools for internal reporting.
• Participate in the preparation of monthly, quarterly, annual and donor reports through data aggregation and basic analysis.

System Improvement

• Identify and troubleshoot data quality issues.
• Support routine and ad hoc data quality checks and verification processes.
• Propose improvements to data storage and management processes.
• Participate in DMEAL team trainings on data tools and best practices.
• Provide logistical and documentation support during training, learning sessions, and field data collection exercises. f) Ensure data security and confidentiality protocols are followed.
• Perform other duties as assigned by the MEAL and Grants manager.

Qualifications and Skills:

• Bachelor's degree in Statistics, Data Science, Public Health, Social Sciences, Computer Science, or a related field. b) Should be recent graduates within the last two years
• Proficiency in Microsoft Excel (advanced level required); knowledge of data analysis or visualization tools (e.g., Power BI, SPSS, Stata, R) is an added advantage.
• Familiarity with mobile data collection platforms such as SurveyCTO, ODK, or KoboToolbox.
• Strong organizational and analytical skills with keen attention to detail.
• Excellent written and verbal communication skills in English; knowledge of Kiswahili and Maa is a plus.
• Passion for community development, conservation, and social impact work.
• Experience with GIS mapping (ArcGIS, QGIS) or SQL databases.
• Data-savvy, detail-oriented individual seeking practical experience in data management for social impact and conservation programs.