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Job description

Data Analyst


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Azure Data Engineering & BI
  • Build and manage ETL/ELT pipelines using Azure Data Factory.
  • Develop scalable data transformations using Databricks / PySpark / SQL.
  • Apply data warehousing principles (dimensional modeling, SCDs, partitioning).
  • Design and optimize Power BI dashboards and semantic data models.
  • Ensure robust data quality, lineage, and governance across Azure components.

Data Analysis & Insights
  • Capture and gather data from multiple sources (digital, operational, transactional, external, or partner data).
  • Analyze trends, patterns, anomalies, and performance indicators to identify risks and opportunities.
  • Build narratives, insights, and recommendations for business stakeholders.
  • Forecast outcomes and measure the effectiveness of initiatives, programs, or action plans.

Reporting & Visualization
  • Design and deliver reports using tools such as Power BI, Excel and relevant analytics platforms.
  • Prepare concise summaries for Business Reviews, performance reviews, and strategic discussions.
  • Maintain dashboards and templates that support ongoing monitoring and decision-making.

Data Management & Quality
  • Identify relevant data sources and maintain databases and data systems.
  • Set up data collection routines and manage data extraction processes.
  • Clean, validate, and organize datasets; troubleshoot data quality issues.

Stakeholder Collaboration
  • Work closely with internal business partners to define analytical needs and KPIs.
  • Follow up on stakeholder requests to ensure insights are understood and actionable.
  • Participate in scoping, review, and presentation meetings.

Team Contribution & Continuous Improvement
  • Support and guide other analysts within the team, act as a problem solver.
  • Apply standard methods and contribute to improving analytical practices, tools, and processes.
  • Stay updated on analytics, BI, Azure technologies, and digital/data trends.


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