The Maa Trust is a non-profit organization working together with community-owned wildlife conservancies in the Maasai Mara, Kenya. We work to increase the benefits of wildlife and conservation to Maasai families so that they appreciate and contribute to the protection of wild animals on their land.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.