Analytics Engineer/Data Analyst

    Highlights

    Skills 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. Join a forward-thinking analytics team as an Analytics Engineer/Data Analyst, driving scalable data solutions and actionable business insights.

    Numbers & Facts

    LocationOkemos, MI

    Description

    • Current Openings
    • Veterans Program
    • Working With Indotronix
    • Referral Program

    All current openings

    Analytics Engineer/Data Analyst

    • Location: Okemos, Michigan 48864
    • Work model: On-site
    • Posted June 9, 2026
    • Job ID: JPC - 204870

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    Job Description

    Analytics Engineer / Data Analyst (Contract)

    Location: Okemos, MI, 48864 (Remote flexibility)

    Job Type: Corp-to-Corp (C2C)

    About the Role

    Join a forward-thinking analytics team as an Analytics Engineer/Data Analyst, driving scalable data solutions and actionable business insights. You'll leverage the modern data stack-Snowflake, dbt, SQL, and Tableau-to develop robust analytics pipelines and dashboards. This contract position offers the opportunity to work across the entire data lifecycle, collaborate with cross-functional partners, and make a direct impact on decision-making across the organization.

    Responsibilities

    • Build, optimize, and maintain scalable analytics pipelines using Snowflake and dbt
    • Transform raw data into analytics-ready datasets tailored for business needs
    • Develop and deliver insightful, user-friendly Tableau dashboards to enable data-driven decisions
    • Validate data outputs for consistency, accuracy, and quality
    • Bridge business and technical teams to translate complex requirements into structured data models
    • Document processes and data models to support knowledge sharing and adoption
    • Contribute to the implementation and standardization of scalable data solutions across the organization

    Required Skills and Experience

    • Proficient in advanced SQL for data transformation and analysis
    • Strong hands-on experience with dbt-based data modeling
    • Proven track record working in Snowflake-based environments
    • Expertise in building end-to-end analytics workflows, from pipeline development to Tableau integration
    • Exceptional analytical thinking and attention to detail in data quality and validation
    • Effective communication skills for collaborating with both technical and business stakeholders

    Preferred Skills

    • Experience with additional BI or data visualization tools
    • Familiarity with modern data workflow orchestration tools and cloud-based data architectures

    Benefits

    • Exposure to the latest data technologies and scalable analytics practices
    • Collaborate with a high-impact, innovative data team
    • Flexible work arrangements and supportive project leadership
    • Opportunity to influence data-driven culture and best practices

    How to Apply

    Ready to advance your analytics career and make a real impact? Submit your resume and a brief statement of interest to be considered for this dynamic contract opportunity.

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    Interested in this role?

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    Job details

    Job ID JPC - 204870

    Location Okemos, Michigan, United States

    Work Model On-site

    Job Type C2C

    Posted June 9, 2026

    Skills 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

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