Data analyst

Job Description

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.