Data Validation Analyst

Key Responsibilities

Data Validation & Accuracy Checks

● Validate data used in MIS reports, dashboards, and ad-hoc outputs before sharing with

stakeholders.

● Cross-check numbers across multiple data sources such as CRM systems, internal

sheets, and reporting tools.

● Identify inconsistencies, mismatches, duplicates, and missing data points.

● Verify calculations, filters, logic, and aggregation methods used in reports.

Data Audits & Quality Monitoring

● Conduct regular data audits across:

○ Sales data

○ Program and event data

○ CX and operational data

● Identify anomalies and deviations from expected trends or values.

● Maintain audit logs and track identified issues to closure.

Data Quality Controls & SOP Support

● Support the creation and maintenance of data quality checklists and validation SOPs.

● Ensure adherence to basic data rules such as mandatory fields, formats, and

consistency standards.

● Flag recurring data quality issues and support preventive control implementation.

Issue Tracking & Coordination

● Clearly document data issues with appropriate context and evidence.

● Coordinate with MIS Executives, Analysts, and source teams to resolve data

discrepancies.

● Follow up to ensure corrections are implemented and reflected in final outputs.

Documentation & Governance Support

● Maintain and update basic documentation such as:

○ Data definitions

○ Validation checklists

○ Known issue trackers

● Support senior team members in maintaining governance discipline across reports.

Support to BI & Insights Team

● Act as the first-level quality checkpoint for all data outputs.

● Reduce rework, escalations, and credibility risks caused by incorrect data.

● Help build stakeholder confidence in the accuracy of reports shared by the data team.

Required Skills and Qualifications

● Graduate degree in any discipline (preferred: Business, Analytics, IT, or related fields).

● 2–5 years of experience in MIS, reporting, data validation, or operational data roles.

● Strong proficiency in Excel / Google Sheets.

● Basic understanding of data structures and reporting logic.

● Exposure to CRM or operational business data is preferred.

● Basic SQL knowledge is a plus (not mandatory).

Attitude and Attributes

● High attention to detail and accuracy.

● Strong sense of ownership and accountability for data correctness.

● Structured and process-driven approach to work.

● Comfortable questioning data and flagging inconsistencies.

● Ability to coordinate effectively with internal teams.

● Willingness to learn and grow within the data quality and governance space.