We are seeking an experienced Analytics Engineer to join our team on a contract this role you will be responsible for building and maintaining scalable analytics data pipelines transforming raw data into reliable analytics-ready datasets and supporting business reporting through robust dashboards and data models.
The ideal candidate has strong expertise in SQL Snowflake dbt and Tableau along with a solid understanding of data modeling data quality and modern analytics engineering practices.
Key Responsibilities
Design build and maintain scalable data models and analytics pipelines using Snowflake and dbt.
Develop optimize and maintain SQL-based transformations and reporting datasets.
Support and enhance Tableau dashboards reports and data sources.
Monitor validate and improve data quality across analytics workflows.
Investigate and resolve data pipeline issues discrepancies and reporting challenges.
Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
Create and maintain documentation for data models business logic transformations and validation processes.
Contribute to best practices for analytics engineering data governance and reporting standards.
Required Qualifications
Strong proficiency in SQL for data transformation analysis and reporting.
Hands-on experience with Snowflake and dbt.
Experience developing or supporting Tableau dashboards and reporting solutions.
Strong understanding of data modeling concepts and analytics data architecture.
Experience with data validation quality assurance and troubleshooting data issues.
Excellent analytical problem-solving and communication skills.
Ability to work independently and manage deliverables in a contract environment.
Preferred Qualifications
Experience with modern data stack tools and end-to-end analytics workflows.
Familiarity with ELT/ETL processes and data warehousing best practices.
Experience working with cross-functional business and technical teams.
Exposure to cloud-based analytics ecosystems and reporting platforms.
We are seeking an experienced Analytics Engineer to join our team on a contract this role you will be responsible for building and maintaining scalable analytics data pipelines transforming raw data into reliable analytics-ready datasets and supporting business reporting through robust dashbo...
We are seeking an experienced Analytics Engineer to join our team on a contract this role you will be responsible for building and maintaining scalable analytics data pipelines transforming raw data into reliable analytics-ready datasets and supporting business reporting through robust dashboards and data models.
The ideal candidate has strong expertise in SQL Snowflake dbt and Tableau along with a solid understanding of data modeling data quality and modern analytics engineering practices.
Key Responsibilities
Design build and maintain scalable data models and analytics pipelines using Snowflake and dbt.
Develop optimize and maintain SQL-based transformations and reporting datasets.
Support and enhance Tableau dashboards reports and data sources.
Monitor validate and improve data quality across analytics workflows.
Investigate and resolve data pipeline issues discrepancies and reporting challenges.
Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
Create and maintain documentation for data models business logic transformations and validation processes.
Contribute to best practices for analytics engineering data governance and reporting standards.
Required Qualifications
Strong proficiency in SQL for data transformation analysis and reporting.
Hands-on experience with Snowflake and dbt.
Experience developing or supporting Tableau dashboards and reporting solutions.
Strong understanding of data modeling concepts and analytics data architecture.
Experience with data validation quality assurance and troubleshooting data issues.
Excellent analytical problem-solving and communication skills.
Ability to work independently and manage deliverables in a contract environment.
Preferred Qualifications
Experience with modern data stack tools and end-to-end analytics workflows.
Familiarity with ELT/ETL processes and data warehousing best practices.
Experience working with cross-functional business and technical teams.
Exposure to cloud-based analytics ecosystems and reporting platforms.