Analytics Engineer/Data Analyst c2c jobs Okemos, MI

Title: Analytics Engineer/Data Analyst

Location: Okemos, MI (Hybrid 3-4 days in week)
Duration: Long Term

Interview – In-Person

 

Note – Candidates must have more than 14 years of IT experience and reside within a 50-mile radius of Okemos, MI. Please ensure the candidate’s location is thoroughly validated and genuinely local prior to submission.

 

Job Description:

We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. The analyst will work across the full data lifecycle—from transforming raw data into analytics-ready datasets to enabling business insights through Tableau. This role requires hands-on experience with modern data stack tools and the ability to convert complex business requirements into structured, reliable data models.

 

Success in this position requires strong SQL skills, experience with dbt-based data modeling, and the ability to work within Snowflake-based environments. The individual should be comfortable supporting end-to-end data workflows, including pipeline development, validation, and Tableau integration. Success also requires strong analytical thinking, attention to data quality, and the ability to bridge business and technical perspectives. The individual will also provide documentation, support validation of outputs, and contribute to adoption of scalable data solutions across the organization.

 

Required Skills:

• Experience with strong background in Data Analytics, Data Engineering, and Business Intelligence.
• Hands-on experience with Snowflake for data warehousing, performance optimization, and analytics solutions.
• Strong expertise in dbt (Data Build Tool) for data transformation, modeling, testing, and documentation.
• Advanced proficiency in SQL for complex query development, data validation, troubleshooting, and performance tuning.
• Extensive experience developing and maintaining Tableau dashboards, reports, and visualizations.
• Experience building and supporting end-to-end analytics pipelines from raw data ingestion to business-ready datasets.
• Strong understanding of data modeling concepts, including dimensional modeling, star schema, and analytics data structures.
• Experience working with modern data stack architectures and cloud-based analytics platforms.
• Ability to translate complex business requirements into scalable and reliable data solutions.
• Experience with data quality management, data validation, testing, and governance best practices.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication skills with the ability to collaborate effectively with business stakeholders and technical teams.
• Experience working in Agile/Scrum environments.
• Ability to create technical documentation, data dictionaries, and process documentation.

 

Preferred Skills

• Experience in Healthcare, Dental Insurance, or related regulated industries.
• Knowledge of ETL/ELT processes and data integration frameworks.
• Familiarity with Python or other scripting languages for data analysis and automation.
• Experience with cloud data platforms and enterprise reporting environments.

 

Must-Have Technologies

Snowflake | dbt | SQL | Tableau | Data Modeling | Analytics Engineering | Data Warehousing | ETL/ELT | Dashboard Development

azad@rconsultinginc.com