Key Responsibilities
Data Validation & Quality Control
· Validate smart meter installation and replacement data received from field teams.
· Verify consumer details, meter numbers, old/new meter information, installation dates, location details, and other project parameters.
· Cross-check field data against approved consumer databases and project records.
· Identify duplicate, incomplete, incorrect, or inconsistent records.
· Verify meter installation, replacement, commissioning, and communication status.
· Check installation photographs and supporting documents wherever required.
· Ensure data accuracy before submission to the client/DISCOM/project management team.
Smart Metering Data Management
· Validate data related to Consumer Indexing, Smart Meter Installation, Meter Replacement, Meter Commissioning, and Site Survey.
· Verify meter serial numbers, communication module details, and other installation parameters.
· Validate data received from mobile applications, field apps, HES, MDMS, and project portals.
· Support reconciliation between field installation records and HES/MDMS data.
· Identify meter-level discrepancies and coordinate with technical/field teams for resolution.
MS Excel & MIS Responsibilities
· Handle and analyze large volumes of data using MS Excel.
· Prepare daily, weekly, and monthly MIS reports related to project progress and data quality.
· Use VLOOKUP, XLOOKUP, Pivot Tables, IF formulas, COUNTIF/COUNTIFS, SUMIF/SUMIFS, Filters, Sorting, Conditional Formatting, and data validation for data analysis and reconciliation.
· Compare data from multiple sources and identify mismatches.
· Prepare data reconciliation sheets and error/discrepancy trackers.
· Maintain dashboards and trackers for installation, replacement, commissioning, communication, and data validation.
· Generate reports on rejected, pending, incomplete, duplicate, and corrected records.
· Prepare management reports and project analytics as required.
· Ensure timely submission of accurate MIS to project management.
Field Team Coordination
· Coordinate with field executives, supervisors, site engineers, and contractors to resolve data discrepancies.
· Share rejected or incorrect records with concerned field teams for correction.
· Follow up on pending corrections and ensure timely closure.
· Provide guidance to field teams regarding accurate data entry and documentation.
· Conduct random checks of field data and supporting documents.
Data Reconciliation
· Reconcile field installation data with project databases and system records.
· Identify mismatches between Field App, HES, MDMS, and MIS data.
· Verify that completed installations are correctly reflected in project systems.
· Track discrepancies and maintain proper closure records.
· Support internal, client, and DISCOM data audits.
Documentation & Compliance
· Maintain records of validated, rejected, and corrected data.
· Maintain data validation checklists, trackers, and SOP-related documentation.
· Ensure proper documentation of installation photographs, test records, and supporting documents.
· Support project audits and client/DISCOM verification activities.
· Maintain confidentiality and security of consumer and project data.
Required Skills & Competencies
· Strong hands-on experience in MS Excel is mandatory.
· Good knowledge of VLOOKUP, XLOOKUP, Pivot Tables, IF, COUNTIF/COUNTIFS, SUMIF/SUMIFS, Filters, Sorting, Conditional Formatting, and data reconciliation.
· Experience handling and analyzing large datasets.
· Good understanding of Smart Metering / AMI / AMR projects.
· Knowledge of smart meter installation, replacement, and commissioning processes.
· Understanding of HES, MDMS, Field Apps, and meter communication systems will be an advantage.
· Strong data validation and reconciliation skills.
· Excellent attention to detail and accuracy.
· Strong MIS preparation and reporting skills.
· Good communication and coordination abilities.
· Analytical and problem-solving mindset.
· Ability to work under pressure and meet daily/monthly targets.
Preferred Candidate Profile
· Candidates with experience in Smart Metering, AMI, RDSS, AMISP, Power Distribution, or Electricity Distribution projects will be preferred.
· Candidates having 2–5 years of experience in MIS, Data Validation, Data Analysis, Data Reconciliation, or Quality Control are encouraged to apply.
· Experience working with HES/MDMS, Field Apps, Excel-based MIS, and project portals will be an added advantage.
· Strong Excel proficiency with practical experience in data analysis and reconciliation is highly preferred.
· Should be comfortable coordinating with field teams and handling large volumes of project data.
Key Performance Indicators (KPIs)
· Data accuracy and validation percentage.
· Daily/monthly records validated.
· Data discrepancy identification and closure rate.
· Rejection/error percentage.
· Field-to-system data reconciliation accuracy.
· MIS accuracy and timely submission.
· Reduction in recurring data errors.
· Timely resolution of field data discrepancies.