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Entry Level Analytics Engineer Jobs in Michigan (NOW HIRING)

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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 June 2026, with employment types broken down into 1% Locum Tenens, 73% Full Time, 12% Part Time, 13% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Entry Level Software Engineer

Entry Level Software Engineer

SynergisticIT

Detroit, MI

Other

Posted 5 days ago

Job description

Job Opportunities At SynergisticIT

SYNERGISTICIT wants all candidates to know that the job market is tough, and to stand out, you need excellent skills and knowledge. That's where we come in—we ensure you get the attention you deserve.

Positions Available

We welcome applications from all visa holders and U.S. citizens. Since 2010, SynergisticIT has helped thousands of candidates find jobs with major tech companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more. We have a strong reputation with our clients. We are currently looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists.

Who Should Apply?
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in the IT industry.
  • Candidates who are focused on their future in IT and have big goals.
  • Those struggling to find jobs, crack interviews, or improve their skills.
Skill Enhancement Programs

We offer programs to help candidates improve their skills and experience, ensuring they meet client requirements. These programs are ideal for:

  • Candidates with no experience.
  • Those returning to work after a career break.
  • Candidates lacking technical skills or knowledge.
  • Visa holders who want to work and settle in the USA.

If candidates already have the necessary skills, skill enhancement is not required. Please also check the below links: Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

Skill Enhancement Option:

If a candidate doesn't meet the requirements, they can choose skill enhancement to improve their qualifications.

Required Skills for Java/Software Programmers:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and knowledge of the software development life cycle.
  • Understanding of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, and REST APIs.
  • Excellent written and verbal communication skills.
Required Skills for Data Science/Machine Learning:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, Python, and data visualization tools.
  • Excellent written and verbal communication skills.
Preferred Skills:

For Data Science/Machine Learning roles: NLP, text mining, Tableau, and time series analysis.

Additional Information:
  • Candidates need to meet client skill requirements to be selected, even for junior or entry-level roles. Additional skills help candidates stand out.
  • We do not accept applications from third-party candidates or c2c candidates.
  • Please apply through the posting.
  • No phone calls, please. Only shortlisted candidates will be contacted.

Apply