Data Analyst

Responsibilities

• Data Collection & Integration
  • Gather data from various sources, including databases, APIs, and external systems.
  • Ensure data quality, consistency, and completeness.
• Data Analysis & Interpretation
  • Analyze large datasets to identify trends, patterns, and insights.
  • Use statistical tools and techniques to interpret data
• Reporting & Visualization
  • Develop dashboards and reports using tools like Power BI, Tableau, or Excel.
  • Present findings to stakeholders in a clear and actionable format.
• Collaboration & Support
  • Work closely with business units to understand data needs.
  • Support IT and business teams with data-driven decision-making.
• Data Governance & Security
  • Ensure compliance with data privacy and protection regulations.
  • Maintain documentation and metadata for data assets.
• Design and maintain data models and pipelines.
• Perform data cleansing and transformation.
• Monitor data quality and resolve data-related issues.
• Automate data collection and reporting processes.
• Provide ad-hoc analysis and support for strategic initiatives.

• Maintain documentation of data processes, procedures, and methodologies to ensure best practices are followed.

• Write SQL queries to extract and manipulate data.
• Create and maintain ETL processes.
• Build interactive dashboards for performance tracking.
• Conduct root cause analysis for data anomalies
• Document data definitions, sources, and workflows.

Duties

• Design and maintain data models and pipelines.
• Perform data cleansing and transformation.
• Monitor data quality and resolve data-related issues.
• Automate data collection and reporting processes.
• Provide ad-hoc analysis and support for strategic initiatives.

• Maintain documentation of data processes, procedures, and methodologies to ensure best practices are followed.

Tasks

• Write SQL queries to extract and manipulate data.
• Create and maintain ETL processes.
• Build interactive dashboards for performance tracking.
• Conduct root cause analysis for data anomalies.
• Document data definitions, sources, and workflows.

Qualification and Certificates:

• Bachelor's degree in a related field (e.g., Computer Science, Statistics, Mathematics, or Engineering).

Experience Requirements

1) Professional Experience:

• 1–3 years of experience in data analysis, business intelligence, or a related IT field.

• Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Qlik).

• Experience working with relational databases and writing complex SQL queries.

• Exposure to ETL processes and data integration techniques.

• Experience in working with ERP systems (e.g., SAP, Oracle) or enterprise data platforms.

2) Project Experience

• Proven track record of delivering data-driven solutions to support business decisions.

  Experience in cross-functional collaboration with IT, business, and operations teams.

  Participation in digital transformation or data governance initiatives is a plus.

Knowledge Requirements