Data Analyst

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

1. Contribute to analytical standards, reporting best practises, and data consistency and accuracy in insights delivery.
2. Promote data governance, data quality definitions, documentation, and standard business metrics to ensure trusted and well‑understood data across the organization.

Financial

1. Drive cost efficiency by optimizing query performance and efficient data set design
2. Minimize redundancy and maintenance overhead through reusable datasets and datamarts.

Stakeholder / Customer 

1. Collaborate with business to deliver high‑quality, analytics‑ready datasets and datamarts
2. Incorporate user feedback and testing to improve the usability.
3. 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
  • • 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
  • • 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
  • • Support Integration involving multiple data sources, ensuring consistent joins, definitions, and business logic.
    • Assist with source‑to‑target validation.
• Collaboration
  • • Work closely with business to provide them with the accurate datasets and datamarts.
    • Guide in dashboard standards to be followed for publishing.
• Documentation:
  • • 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
  • • Support incident investigation, validation.
    • Assess impact of issues on dashboards and reports.

Capability / People 

1. Stay updated with modern data tools and trends.
2. Collaborate effectively with team members
3. Contribute to internal best practices and governance standards.
4. Share knowledge and support team capability building

    Dimensions

1. Own and manage analytical and governance datasets and datamarts, ensuring accuracy and availability.
2. Analyse and validate data to support reporting and data quality monitoring.

EDUCATIONAL QUALIFCATIONS