Data Management Staff

About the role

The Completion Data Person is responsible for providing dedicated data support to the Completion Team in managing, monitoring, validating, and consolidating student data across Horizon Education Indonesia schools. This role focuses on ensuring that Completion-related data is accurate, timely, complete, organized, and readily available to support student monitoring, case management, intervention, operational reporting, and decision-making. The role will work closely with the Completion Manager, Kasama Coaches, school-based teams, and the Analytics Team to maintain data trackers and databases, monitor data updates, identify and resolve data discrepancies, consolidate information from multiple sources, and prepare regular data reports and analyses required by the Completion Team.

Key responsibilities

• Consolidate data across Horizon Education schools into standardized trackers and monitoring files

• Regularly monitor, update and validate the trackers and monitoring files to ensure accuracy, completeness, consistency and timeliness

• Provide updated data to support student monitoring, intervention, recovery, home visits, delistment, and other Completion initiatives

• Monitor the data encoded by Kasama Coaches and Teacher Advisers in the trackers and files

• Coordinate with relevant teams to clarify and resolve data discrepancies

• Consolidate the trackers and files into standardized report following the PHINMAEd format

• Prepare regular data reports and dashboards required by Completion Team

• Coordinate with the Analytics Team and relevant school teams to ensure data and reporting are aligned

About you

• Bachelor's degree in Data Analytics, Statistics, Information Systems, Management, Mathematics, or a related field

• 1+ year of experience in data management, reporting, administration, data analysis, or a related field is preferred

• Proficiency in Microsoft Excel and/or Google Sheets

• Familiarity with formulas, filtering, sorting, pivot tables, lookup functions, and basic data analysis

• Ability to work with large datasets and maintain structured databases or trackers

• Strong understanding of data management and data validation principles

• Ability to consolidate data from multiple sources

• Ability to identify data inconsistencies, missing information, and errors

• Good written and verbal communication skills in English

• Detail-oriented, reliable, and proactive with strong sense of ownership and accountability