Data Analytics Engineer

Requirements:

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, or a related STEM field; or an equivalent combination of education, certifications, and professional experience.
  
• 3–5 years of experience in data analytics engineering, analytics development, or related roles supporting enterprise analytics solutions.
  
• Advanced SQL proficiency, including CTEs, window functions, complex joins, and query performance optimization.
  
• Proficiency in Python for data manipulation, pipeline scripting, and automation tasks.
  
• Experience with Git version control for collaborative development and code management.
  
• Experience designing and maintaining ETL/ELT pipelines and data warehouse solutions.
  
• Strong understanding of data warehousing concepts, dimensional modeling, and star/snowflake schema design.
  
• Hands-on experience working with Power BI and integrating analytics datasets into Power Apps and Power Automate solutions.
  
• Strong understanding of data modeling, analytical datasets, and how analytics outputs are consumed by reporting tools and applications.
  
• Familiarity with Microsoft 365 and Azure Entra ID for secure access to analytics and Power Platform solutions.
  
• Experience collaborating with Power Platform developers to support analytics-driven apps, reports, and automations.
  
• Strong communication and teamwork skills, with the ability to explain analytical concepts to non-technical audiences.
  
• Experience supporting business users and analysts by enabling self-service analytics and data-driven innovation.
  
• Certifications such as (preferred but not required):
  
• Microsoft Certified: Power BI Data Analyst Associate
  
• Microsoft Certified: Azure Data Engineer Associate
  
• Microsoft Certified: Power Platform Functional Consultant Associate
  
• dbt Analytics Engineering Certification
  
• Language Skills: Professional working proficiency in English (written and spoken).