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Entry Level Analytics Engineer Jobs in Michigan (NOW HIRING)

SmithGroup

Entry Level Electrical Engineer

Detroit, MI · On-site

$62K - $69K/yr

The Detroit office of SmithGroup is looking for a Entry Level Electrical Engineer to join our team ... Perform analysis, design and documentation of building electrical systems including power ...

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Entry Level Analytics Engineer information

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an Entry Level Analytics Engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What are the key skills and qualifications needed to thrive as an Entry Level Analytics Engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do Entry Level Analytics Engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are the most commonly searched types of Analytics Engineer jobs in Michigan? The most popular types of Analytics Engineer jobs in Michigan are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Michigan? For Entry Level Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Michigan look for? The top searched job categories for Entry Level Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Analytics Engineer jobs? Cities in Michigan with the most Entry Level Analytics Engineer job openings:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in Michigan as of July 2026, with employment types broken down into 70% Full Time, 11% Part Time, and 19% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Triage Engineer (Entry-Level Propulsion Diagnostics Engineer)

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 29 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

We are seeking a motivated Triage Engineer to support propulsion system diagnostics, testing, and analysis across internal combustion (ICE), hybrid, and battery electric vehicle (BEV) platforms. This entry-level engineering role is designed for candidates looking to gain hands-on experience in vehicle diagnostics, data analysis, and production support in a fast-paced automotive environment. You will work alongside experienced engineers to support issue triage, validation activities, and in-plant problem solving using industry-standard diagnostic tools and processes.
Key Responsibilities
  • Support end-of-line (EOL) testing, ECU flashing, and in-plant readiness activities
  • Assist with first-level analysis (FLA) by reviewing diagnostic trouble codes (DTCs), logs, and vehicle data
  • Use CANalyzer, CANoe, and INCA to collect and analyze vehicle data
  • Support troubleshooting of propulsion system issues in plant or test environments
  • Assist with calibration validation and data collection
  • Document findings, test results, and issue summaries
  • Collaborate with engineering, manufacturing, and quality teams
  • Follow established processes, standards, and test procedures
  • Support continuous improvement and documentation updates
  • Participate in training and skill development

Basic Qualifications
  • Bachelor's degree in Mechanical, Electrical, Computer Engineering, or related field
  • Basic understanding of propulsion systems (ICE, Hybrid, or BEV)
  • Strong analytical and problem-solving skills
  • Good communication and teamwork abilities
  • Willingness to learn in a fast-paced environment
  • Willingness to travel to plants as required

Preferred Qualifications
  • Internship or co-op experience in automotive engineering, diagnostics, or validation
  • Experience with CANalyzer, CANoe, INCA, or similar tools
  • Basic knowledge of CAN networks and DTC diagnostics

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