Analytics Engineer

About the role

It is an exciting time to be a part of the growing Data Engineering team at Circle K. We are driving a well-supported cloud-first strategy to unlock the power of data across the company and help teams to discover, value and act on insights from data across the globe. With our strong data pipeline, this position will play a key role partnering with our Technical Development stakeholders to enable analytics for long term success.

What you'll do

• Design, develop, maintain, and enhance semantic models and BI solutions
• Build and enhance Power BI and SSAS/AAS models, including measures, relationships, calculations, and business logic
• Translate business requirements into data models, semantic layer solutions, and BI enhancements
• Analyze data using SQL and other tools to identify data quality issues, inconsistencies
• Troubleshoot and resolve issues related to reports, datasets, semantic models, cubes, data refreshes, and underlying data

What you need

• 3–6 years in data science & ai
• Analytics
• SQL
• ETL
• Snowflake
• Databricks
• Power BI
• MBA or M.Tech or B.Tech or B.E. or B.Sc or BCA or MCA

Good to have

• Statistics
• Data modelling
• Azure Data Factory
• Data warehousing
• Azure
• Root cause analysis