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Analytics Engineer
Support Office India
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe are looking for an experienced Analytics Engineer who can work across semantic layer development, data analysis, BI solutions, and production support.
This role combines Analytics Engineering and BI Production Support, with responsibilities spanning semantic model development and enhancement, data validation, performance optimization, issue resolution, and ongoing improvement of BI solutions.
Design, build and maintain semantic models and BI solutions
Validate data and reconcile figures across data layers
Troubleshoot reports, datasets, cubes and data refresh failures
Find root causes across Snowflake/Databricks, ADF and BI layers
Translate business requirements into data models and KPIs
From the employer’s posting
We are looking for an experienced Analytics Engineer who can work across semantic layer development, data analysis, BI solutions, and production support. The ideal candidate will have a strong understanding of BI platforms and data models, along with the ability to troubleshoot complex data and reporting issues and work with cross-functional technical teams.
This role combines Analytics Engineering and BI Production Support, with responsibilities spanning semantic model development and enhancement, data validation, performance optimization, issue resolution, and ongoing improvement of BI solutions.
Design, develop, maintain, and enhance semantic models and BI solutions
Perform data validation and reconciliation across different data layers
Troubleshoot and resolve issues related to reports, datasets, semantic models, cubes, data refreshes, and underlying data
Investigate issues across Snowflake/Databricks, ETL pipelines, ADF, and the BI/semantic layer to determine root cause
Translate business requirements into data models, semantic layer solutions, and BI enhancements
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
- Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
- 3+ years of experience in Analytics Engineering, BI Development, BI Production Support, or a similar role
Preferred experience
- Experience developing and maintaining semantic models / analytical models
- Strong SQL skills with the ability to analyze complex data and perform data validation
- Good understanding of dimensional data modeling, business logic, measures, KPIs, relationships, and calculations
- Experience troubleshooting Power BI reports, datasets, semantic models, cubes, and data refresh issues
Qualification wording
Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
3+ years of experience in Analytics Engineering, BI Development, BI Production Support, or a similar role
Experience developing and maintaining semantic models / analytical models
Strong SQL skills with the ability to analyze complex data and perform data validation
Good understanding of dimensional data modeling, business logic, measures, KPIs, relationships, and calculations
Experience troubleshooting Power BI reports, datasets, semantic models, cubes, and data refresh issues
Education & alternatives
Qualifications and experience - Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
- Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) - Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) - 3+ years of experience in Analytics Engineering, BI Development, BI Production Support, or a similar role
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Alimentation Couche-Tard is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
- Databricks
- Power BI
- Snowflake
Where the posting names them
- 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, and trends Perform data validation and reconciliation across different data layers - Troubleshoot and resolve issues related to reports, datasets, semantic models, cubes, data refreshes, and underlying data
- Experience developing and maintaining semantic models / analytical models - Strong SQL skills with the ability to analyze complex data and perform data validation - Good understanding of dimensional data modeling, business logic, measures, KPIs, relationships, and calculations
Preferred Skills - Strong hands-on experience with Power BI and SSAS/Azure Analysis Services (AAS) - Experience developing and maintaining semantic models / analytical models
- Experience with Snowflake and/or Databricks - Good understanding of ETL/data pipelines and Azure Data Factory (ADF) - Ability to trace data issues across source, data warehouse, refined/curated layers, and semantic models
- Troubleshoot and resolve issues related to reports, datasets, semantic models, cubes, data refreshes, and underlying data - Investigate issues across Snowflake/Databricks, ETL pipelines, ADF, and the BI/semantic layer to determine root cause - Partner with Data Engineering and other technical teams to resolve complex data and pipeline issues
- Experience troubleshooting Power BI reports, datasets, semantic models, cubes, and data refresh issues - Experience with Snowflake and/or Databricks - Good understanding of ETL/data pipelines and Azure Data Factory (ADF)
- 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
- Good understanding of dimensional data modeling, business logic, measures, KPIs, relationships, and calculations - Experience troubleshooting Power BI reports, datasets, semantic models, cubes, and data refresh issues - Experience with Snowflake and/or Databricks
Your next step
Complete your application on circlek.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space with over 17,000 stores in 31 countries, serving more than 9 million each day customers across its global convenience store and fuel retail network.
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.
About the role
We are looking for an experienced Analytics Engineer who can work across semantic layer development, data analysis, BI solutions, and production support. The ideal candidate will have a strong understanding of BI platforms and data models, along with the ability to troubleshoot complex data and reporting issues and work with cross-functional technical teams.
This role combines Analytics Engineering and BI Production Support, with responsibilities spanning semantic model development and enhancement, data validation, performance optimization, issue resolution, and ongoing improvement of BI solutions.
Roles and Responsibilities
- 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, and trends Perform data validation and reconciliation across different data layers
- Troubleshoot and resolve issues related to reports, datasets, semantic models, cubes, data refreshes, and underlying data
- Investigate issues across Snowflake/Databricks, ETL pipelines, ADF, and the BI/semantic layer to determine root cause
- Partner with Data Engineering and other technical teams to resolve complex data and pipeline issues
- Perform root-cause analysis and implement sustainable solutions to prevent recurring production issues
- Monitor and improve the performance, reliability, and scalability of BI and semantic models
- Participate in development activities including new functionality, enhancements, model changes, and technical improvements
- Support production BI solutions while continuously identifying opportunities to improve data quality, performance, automation, and maintainability
- Work closely with business stakeholders to understand reporting requirements and ensure business definitions and KPIs are accurately represented in the semantic layer
- Contribute to BI/Analytics Engineering standards, best practices, and architecture discussions
Qualifications and experience
- Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
- Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
- 3+ years of experience in Analytics Engineering, BI Development, BI Production Support, or a similar role
Preferred Skills
- Strong hands-on experience with Power BI and SSAS/Azure Analysis Services (AAS)
- Experience developing and maintaining semantic models / analytical models
- Strong SQL skills with the ability to analyze complex data and perform data validation
- Good understanding of dimensional data modeling, business logic, measures, KPIs, relationships, and calculations
- Experience troubleshooting Power BI reports, datasets, semantic models, cubes, and data refresh issues
- Experience with Snowflake and/or Databricks
- Good understanding of ETL/data pipelines and Azure Data Factory (ADF)
- Ability to trace data issues across source, data warehouse, refined/curated layers, and semantic models
- Experience with data quality validation, reconciliation, and root-cause analysis
- Understanding of BI and semantic model performance optimization
- Experience working with incident management and production issues, including investigation, resolution, and prevention of recurring issues
- Ability to collaborate with Data Engineering, Data Architecture, QA, and business teams
- Strong analytical and problem-solving skills with the ability to investigate issues independently
- Strong communication skills and ability to work directly with business users and technical stakeholders
Behavioral Skills
- Delivery Excellence
- Business disposition
- Social intelligence
- Innovation and agility
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- Location & working pattern
Support Office India
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