Advantum Health Private Limited
Data Analyst
Hyderabad, India
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hirly's read of this role
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 23 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
- Report Preparation & Validation: Prepare, review, and validate operational and management reports to ensure completeness, accuracy, and timely delivery.
- Data Accuracy & Integrity: Verify that source data is accurate, complete, and consistent before it is incorporated into reports and dashboards.
- Data Formatting & Standardization: Ensure data is presented in the correct format, structure, naming convention, and reporting template as per business requirements.
- Numerical Validation: Cross-check calculations, totals, percentages, variances, and key metrics to identify and correct discrepancies.
- Data Reconciliation: Reconcile data across multiple sources, systems, and reports to ensure consistency and identify gaps or mismatches.
- Quality Checks: Establish and perform pre-publication quality checks to ensure reports are error-free before sharing with stakeholders.
- Exception Identification: Identify unusual trends, missing data, duplicate records, inconsistencies, and reporting anomalies and coordinate their resolution.
- Source-to-Report Validation: Trace reported numbers back to their source data to confirm the accuracy and integrity of key metrics.
- Dashboard & MIS Support: Review dashboards, MIS reports, and analytical outputs to ensure that underlying data and calculations are accurate.
- Process Improvement: Identify opportunities to automate repetitive validation activities and improve reporting efficiency and accuracy.
- Documentation: Maintain reporting definitions, data sources, validation procedures, and quality-control checklists.
- Timely Delivery: Ensure all scheduled reports are completed and distributed within agreed timelines without compromising data quality.
- Continuous Improvement: Develop and implement data-quality controls, validation rules, and reporting standards to minimize recurring errors.
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