Data Analyst – Power BI & Azure

Introduction

Data Analyst

Power BI dashboards

data queries

Enterprise Data Warehouse (EDW)

Microsoft Azure tech stack

Alteryx

Informatica

Your Role And Responsibilities

Power BI Development & Visualization:

• Design, develop, and maintain interactive Power BI dashboards and reports to support business users with timely, actionable insights.
• Translate complex data requirements into visually compelling and easy-to-understand dashboards.
• Optimize report performance and implement best practices for data visualization and user experience.
  

Data Extraction & Transformation

• Build, optimize, and maintain data queries from the Enterprise Data Warehouse (EDW) and other source systems.
• Develop, test, and deploy data pipelines using MS Azure services, Alteryx, and Informatica to ensure accurate, clean, and normalized datasets.
• Collaborate with Data Engineering teams to ensure efficient data flows, proper data modeling, and adherence to data governance standards.
  

Finance Function Process Support

• Provide data preparation, validation, and reporting support for the process.
• Partner with Finance, Costing, and Operations teams to ensure timely and accurate report runs.
• Analyze process gaps and recommend improvements to streamline data handling and reporting.
  

Collaboration & Continuous Improvement

• Work closely with business stakeholders to gather and clarify requirements, ensuring deliverables align with business objectives.
• Troubleshoot data issues and recommend solutions for data quality improvements.
• Stay current with advancements in the Microsoft Azure ecosystem, Power BI, and other BI tools to continuously improve solutions.
  

Preferred Education

Required Technical And Professional Expertise

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
• 4–5 years of hands-on experience in data analytics, business intelligence, or a related role.
• Advanced experience building Power BI dashboards, including DAX, Power Query (M), and data modeling.
• Strong proficiency with the Microsoft Azure data stack (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse Analytics).
• Hands-on experience with Alteryx for data blending, preparation, and automation.
• Working knowledge of Informatica for ETL processes.
• Solid SQL skills for writing and optimizing queries for large, complex datasets.
• Strong understanding of data normalization, data governance, and best practices for data management.
• Excellent problem-solving skills with the ability to manage multiple tasks and priorities.
• Strong communication skills and ability to collaborate effectively with business and technical stakeholders.
  

Preferred Technical And Professional Experience

• Ability to manage and make decisions about competing priorities and resources.
• Ability to delegate where appropriate.
• Must be a strong team player/leader.
• Ability to lead Data transformation projects with multiple junior data engineers.
• Strong oral written and interpersonal skills for interacting throughout all levels of the organization.
• Ability to communicate complex business problems and technical solutions.