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Entry Level Analytics Engineer Jobs in Michigan (NOW HIRING)

Aampower

Controls Engineer

Detroit, MI

$82K - $106K/yr

Analyze existing systems and develop solutions to provide improvements. * Maintains project ... Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ...

American Axle & Manufacturing

Controls Engineer

Detroit, MI · On-site

$76K - $98K/yr

Analyze existing systems and develop solutions to provide improvements. * Maintains project ... Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ...

Tenneco

Application Engineer

Monroe, MI · On-site

ABOUT THE ROLE The Associate Application Engineer is an entry-level engineering role responsible ... Apply basic engineering principles to complete assigned tasks and analyses. * Follow established ...

Tenneco

Application Engineer

Monroe, MI · On-site

ABOUT THE ROLE The Associate Application Engineer is an entry-level engineering role responsible ... Apply basic engineering principles to complete assigned tasks and analyses. * Follow established ...

Tenneco

Application Engineer

Monroe, MI · On-site

ABOUT THE ROLE The Associate Application Engineer is an entry-level engineering role responsible ... Apply basic engineering principles to complete assigned tasks and analyses. * Follow established ...

Tenneco

Application Engineer

Monroe, MI · On-site

ABOUT THE ROLE The Associate Application Engineer is an entry-level engineering role responsible ... Apply basic engineering principles to complete assigned tasks and analyses. * Follow established ...

Reliance One

Mechanical Engineer

Novi, MI

$60K/yr

This is an excellent opportunity for an entry-level to early-career engineer looking to gain hands ... Excellent problem-solving and analytical skills. * Strong written and verbal communication skills.

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Entry Level Analytics Engineer information

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 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 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 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 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 August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

-Bachelor's Degree in Computer/software Engineer ( C++,HTML,SQL)

Detroit Engineered Products Inc. (DEP)

Sterling, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities to Anticipate for this role
  • This entry-level / junior position demands strong technical and communication skills to develop and support a variety of logistics software.
  • Tasks include software development, documentation, technical support, application and database administration, and user training.
  • Candidate must have the ability to analyze, design, develop, document, test, deploy and support software applications, with strong skills in programming/scripting and database systems.
  • The candidate of choice must work in a team environment to support, analyze, and derive requirements and assist in the development of new software and improvements to existing applications.

Qualifications Sought
  • Bachelor's Degree in Computer Science or Software Engineering.
  • Knowledge of Windows, Unix, and Linux operating systems and development environments.
  • Computer programming / scripting language skills including Perl, Python, Visual Basic.NET, and Unix / Linux / Windows shell scripting.
  • Object oriented programming / language skills (Python, Java, C#, or C++).
  • Knowledge of database systems / design, SQL (PL/SQL, T-SQL, or MySQL), and common Relational Database Management Systems (RDBMS) such as SQL Server, MySQL, or Oracle.
  • Markup language skills including XML and DTD / Schema (XSD), additional markup language skills such as XSL and SGML a plus.
  • Familiarity with Adobe ExtendScript, Ghostscript a plus.
  • Familiarity with web development (HTML, CSS, JavaScript, IIS, ASP.NET) a plus.
  • Experience with Logistics Product Data (LPD) software development and application / database administration a major plus.
  • Experience with IBM Cognos Analytics / Reporting and / or Oracle E-Business a major plus.
  • Strong propensity to record and document processes, software, and source code.
  • Strong analytical and creative thinking skills to comfortably solve complex problems.
  • Willingness to learn new technologies and programming languages as required with or without formal training.
  • Personal computer skills including competence with Microsoft Office applications.
  • Ability to perform efficiently in a team environment and adhere to standard practices.
  • Adherence to strict project schedules and ability to meet extremely high quality standards.
  • Excellent interpersonal, oral, and written communication skills.
  • Must be able to obtain a security clearance.
  • Ability to work both on-site and remotely as required.
  • Occasional weekday and/or weekend overtime.
  • Occasional, short-term travel.

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