The role focuses on ensuring data accuracy, consistency, and governance through validation of business logic, exploratory data analysis, close collaboration with stakeholders, and comprehensive KPI documentation
KEY RESPONSIBILITIES
Strategic
- Contribute to analytical standards, reporting best practises, and data consistency and accuracy in insights delivery.
- Promote data governance, data quality definitions, documentation, and standard business metrics to ensure trusted and well‑understood data across the organization.
Financial
- Drive cost efficiency by optimizing query performance and efficient data set design
- Minimize redundancy and maintenance overhead through reusable datasets and datamarts.
Stakeholder / Customer
- Collaborate with business to deliver high‑quality, analytics‑ready datasets and datamarts
- Incorporate user feedback and testing to improve the usability.
- Clearly communicate impacts related to any data or solution changes to relevant stakeholders.
Operational
- Design and Development:
- Design and support in developing the Business facing datasets and datamarts.
- Defining business rules, transformation logics , and validation requirements.
- Ensure datasets and datamarts are structured
- Data Analysis and processing
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- Perform data profiling, exploratory analysis, and data validation.
- Perform trend analysis, anomaly detection, and root‑cause analysis to identify data issues.
- Dashboards & Reporting (Internal / Governance)
- Design, develop, and maintain internal dashboards and reports for:
- Data quality monitoring
- Data pipeline health and freshness
- Governance metrics
- Validate dashboards developed by business teams, before release/ publishing.
- Data Validation & Quality
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- Define and implement data quality rules , thresholds and validation logic.
- Identify data issues and work with Data Engineer to resolve root causes.
- Data Integration support
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- Support Integration involving multiple data sources, ensuring consistent joins, definitions, and business logic.
- Assist with source‑to‑target validation.
- Collaboration
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- Work closely with business to provide them with the accurate datasets and datamarts.
- Guide in dashboard standards to be followed for publishing.
- Documentation:
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- Maintain a Data Catalog (Excel or tool‑based).
- Ensure datasets and datamarts are standardized, documented, and discoverable.
- Work closely with the teams to maintain data dictionary , KPI definitions and business rules.
- Incident management
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- Support incident investigation, validation.
- Assess impact of issues on dashboards and reports.
Capability / People
- Stay updated with modern data tools and trends.
- Collaborate effectively with team members
- Contribute to internal best practices and governance standards.
- Share knowledge and support team capability building
Dimensions
- Own and manage analytical and governance datasets and datamarts, ensuring accuracy and availability.
- Analyse and validate data to support reporting and data quality monitoring.
EDUCATIONAL QUALIFCATIONS
Min.
Required
Desirable
Education
- Bachelor’s degree in computer science, Information Technology, or a related field.
- B. Tech / B.E
Experience
- Experience in Data Analytics
- Experience in SQL experience
- Experience working with analytical datasets, reporting layers, and KPIs
- Strong experience in data validation, quality checks, and reconciliation
- Experience on data governance initiatives.
Skills / Training
Fluent in English.