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GreenSM Indonesia is seeking a seasoned data management leader to drive the Driver Administration team in Jakarta. You will oversee driver database management, data validation, reconciliation, and timely updates to ensure reliable information across systems.
You will develop reports and dashboards to monitor operational performance, establish data standards, and lead continuous-improvement initiatives. Strong leadership and cross-functional collaboration are essential.
Lead and supervise the Driver Administration team in managing driver administrative processes and ensuring data accuracy, integrity, and completeness.
Oversee driver database management, data validation, reconciliation, and regular data updates to ensure reliable and consistent information across systems.
Monitor, analyze, and evaluate driver administration data to identify discrepancies, trends, and operational issues.
Develop and maintain comprehensive reports, dashboards, and data monitoring tools to support operational performance tracking and management decision-making.
Establish data management standards, reporting procedures, and administrative workflows to improve data quality and operational efficiency.
Identify data gaps, inconsistencies, and process inefficiencies, and implement corrective actions and continuous improvement initiatives.
Manage data consolidation and reporting from multiple sources while ensuring accuracy, consistency, and timely delivery.
Coordinate with cross-functional teams to ensure data alignment, resolve discrepancies, and support operational requirements.
Monitor team performance, establish work priorities, and ensure timely and accurate completion of administrative and data-related tasks.
Provide coaching and guidance to team members on data management, reporting standards, and administrative best practices.
Bachelor's degree in Statistics, Mathematics, Information Systems, Business Administration, or a related field.
5–7 years of working experience in data management, data analysis, reporting, business operations, or administration.
Strong analytical and numerical skills with excellent attention to detail and accuracy.
Advanced proficiency in Microsoft Excel or Google Sheets, including complex formulas, PivotTables, data validation, data cleaning, and large-scale data processing.
Proven ability to analyze, consolidate, and interpret large volumes of data from multiple sources.
Experience in developing reports, dashboards, and data monitoring tools.
Familiarity with data visualization tools (e.g., Power BI or Tableau) is a strong advantage.
Experience with SQL or database management is an advantage.
Strong leadership, problem-solving, and process improvement skills.
Excellent organizational, communication, and cross-functional coordination skills.
Experience in transportation, logistics, ride-hailing, or driver management is an advantage.