Data Officer

Key Responsibilities

Data Collection & Entry Collect operational data from field teams, weighbridges, GPS/telematics systems, and other data sources on a daily basis Enter all data accurately and promptly into the organisation’s data management systems (spreadsheets, databases, fleet management software, or operational management platforms) Ensure data collection tools (forms, mobile applications, GPS logs) are properly used by field staff; train and support field teams on data capture procedures Verify data at the point of entry and resolve discrepancies with field supervisors before submission Data Validation & Quality Assurance Conduct regular data quality checks to identify errors, duplicates, gaps, and inconsistencies in operational datasets Implement data cleaning and correction procedures; maintain a data validation log Ensure all datasets are complete, accurate, and reconciled against source documents before reporting Report data quality issues to the Operations Manager and recommend corrective measures Reporting & Analysis Compile daily, weekly, and monthly operational performance reports covering waste collection volumes, disposal tonnages, fleet utilisation, route coverage, and service delivery KPIs Prepare data summaries, dashboards, and visualisations to communicate performance trends clearly to management Generate ad hoc reports and data extracts as requested by the Operations Manager, Finance team, and Country MD Analyse operational data to identify trends, performance gaps, and opportunities for improvement; present findings with recommendations Fleet & Route Data Management Maintain and analyse GPS/telematics data for the Zoomlion Kenya fleet; produce daily fleet utilisation and route compliance reports Track and report on key fleet performance metrics including vehicle utilisation rates, route completion rates, fuel consumption, and idle time Support the Workshop and Operations teams with data-driven insights on fleet performance and maintenance scheduling Environmental & Regulatory Data Compile and format environmental monitoring data for submission to NEMA and county regulatory authorities in line with permit requirements Maintain accurate records of landfill intake, leachate volumes, gas monitoring readings, and other environmental data points Support the preparation of regulatory compliance reports and client reporting with accurate, verified data Systems & Database Management Maintain and update operational databases and data management tools; ensure data systems are organised, backed up, and accessible to authorised users Support the implementation or upgrade of data management systems and platforms Ensure data security and confidentiality in line with company policy and the Kenya Data Protection Act 2019 Capacity Building Train field staff and operational teams on data collection tools, procedures, and standards Develop user guides and data collection SOPs for operational teams Any other duties as assigned by the Operations Manager Qualifications Bachelor’s degree or Diploma in Statistics, Information Technology, Computer Science, Data Management, Business Administration, or a related field Certification in data analysis, GIS, or database management is an advantage Experience Minimum of 2–4 years of experience in a data management, data entry, or operational reporting role Experience working with GPS/telematics platforms or fleet management systems is an advantage Experience in waste management, transport, logistics, or environmental services is preferred Familiarity with mobile data collection tools (Ko.

Bo. Toolbox, ODK, or similar) is an advantage Technical Skills Advanced MS Excel skills (pivot tables, VLOOKUP, data validation, charts) Experience with data management software, databases, or operational management platforms Ability to produce clear, professional reports and dashboards (Power BI, Tableau, or Excel-based) Familiarity with GPS/telematics data interpretation Knowledge of the Kenya Data Protection Act 2019 and data governance principles Core Competencies High accuracy and strong attention to detail in data entry and validation Analytical mindset with the ability to identify patterns and anomalies in datasets Organised and systematic in managing large volumes of operational data Strong communication skills — able to present data clearly to non-technical audiences Proactive and self-motivated with the ability to work independently Collaborative team player who supports operations, finance, and management effectively