Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Analytics Engineer/Data Analyst with DBT & Snowflake

Job

HCL Global Systems

Meridian charter Township, MI (In Person)

Full-Time

Posted 4 weeks ago (Updated 4 days ago) • Actively hiring

Expires 8/1/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
77
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Hi, Hope you are doing great..! Analytics Engineer/Data Analyst Hybrid (minimum of 3 days a week in our Okemos office). Will change to 4 days a week starting on 7/6/2026.
Contract Summary:
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.