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Junior Data Analytics Engineer Jobs in Michigan (NOW HIRING)

General Motors

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Tech Tammina LLC

Jr. Data Analyst

Warren, MI · On-site

Role: Jr. Data Analyst Location: Warren, MI (Hybrid) Duration: 1 year Rate: Market Need local to MI ... Participate in quarterly analytics reviews, weekly operational meetings, and vendor calls. * Assist ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required Qualifications: * Experience working with big data in a cloud environment , particularly Azure and Databricks

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Junior Data Analytics Engineer information

What is a Junior Data Analytics Engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a Junior Data Analytics Engineer, and why are they important?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a Junior Data Analytics Engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Junior Data Analytics Engineer jobs in Michigan? For Junior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Junior Data Analytics Engineer jobs in Michigan look for? The top searched job categories for Junior Data Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Junior Data Analytics Engineer jobs? Cities in Michigan with the most Junior Data Analytics Engineer job openings:
Junior Data Analytics Engineer jobs near you
Jr. Data Analyst

Jr. Data Analyst

Tech Tammina LLC

Jackson, MI • On-site

Contractor

Posted 4 days ago

Job description

Role: Jr. Data Analyst

Location: Jackson, MI (Hybrid)

Duration: Long term
Rate: Market

Responsibilities:

Build and maintain SharePoint Online lists and libraries
Design and develop interactive reports and dashboards using Power BI
Assist with data entry tasks and support ongoing automation initiatives using Power Automate
Collaborate with internal teams to understand reporting needs and provide data-driven insights
Contribute to the creation of visual management tools and performance tracking systems

Preferred Skills & Qualifications:

2 5 years of experience using Microsoft Platform tools (Power BI, Power Automate, SharePoint)
Experience creating medium to complex visuals in Power BI
Experience developing automation workflows using Power Automate
Familiarity with Microsoft SQL, Tableau, or VBA (preferred)
Strong communication and documentation skills
Ability to work both independently and collaboratively in a hybrid environment

Bachelor's degree in Mathematics, Accounting, IT, Engineering, or related field (preferred)