Analytics Engineer/Data Analyst
Job in
Okemos, Ingham County, Michigan, 48864, USA
Listed on 2026-07-04
Listing for:
Datamaxis
Contract
position Listed on 2026-07-04
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Business Intelligence
Job Description & How to Apply Below
We are seeking an experienced Analytics Engineer to join our team on a contract basis. In 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.
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