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Analytics EngineerData Analyst
Job Location:
Job Location:
Okemos, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
5 June 2026 (30+ days ago)
Posted:
Application Deadline:
2 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
- 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.
- 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.
