1

Junior Data Analytics Engineer Jobs in Indiana (NOW HIRING)

Data Analytics Developer Information Technology Department Position Summary: Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Junior Engineer to join our team in Crane ...

... Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Director of Data Engineering who builds and maintains the data platform and pipelines * Embedded Analysts across business units who translate data into action at the point of need What You'll Own ...

next page

Showing results 1-20

Junior Data Analytics Engineer information

Is junior data analyst entry-level?

Yes, a junior data analyst position is typically considered entry-level, suitable for candidates with limited professional experience or recent graduates. It often involves basic data collection, cleaning, and analysis using tools like Excel or SQL, with opportunities to develop skills and advance in the field.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a Junior Data Analytics Engineer or entering data science. Many professionals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Employers value skills and experience over age, and continuous learning can help you start or advance in data-related careers at any age.

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.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Junior data analytics engineers often develop and maintain these tools, and their skills in understanding business context and communicating findings remain essential despite automation advances.

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 engineers make $500,000?

Senior data engineers and specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually. High compensation often depends on the industry, location, company size, and individual expertise in tools like SQL, Python, and data pipeline management.
What are the most commonly searched types of Data Analytics Engineer jobs in Indiana? The most popular types of Data Analytics Engineer jobs in Indiana are:
What are popular job titles related to Junior Data Analytics Engineer jobs in Indiana? For Junior Data Analytics Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Junior Data Analytics Engineer jobs in Indiana look for? The top searched job categories for Junior Data Analytics Engineer jobs in Indiana are:
What cities in Indiana are hiring for Junior Data Analytics Engineer jobs? Cities in Indiana with the most Junior Data Analytics Engineer job openings:
Infographic showing various Junior Data Analytics Engineer job openings in Indiana as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.
Data Analytics Developer

Full-time

Posted 2 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

36th of 44 rated automakers


Job description

Data Analytics Developer
Information Technology Department
Position Summary:
Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics Developers understand, mine, aggregate, and expose business data to enable efficient decision-making and the discovery of data-based business insights. Data Analytics Developers use a variety of tools, techniques, and languages to create dashboards and populate reporting tools.
Outline of Duties:
  • Collaborate with SIA management and business users to define data analysis requirements and specifications
  • Work with transactional system developers to locate and understand source data
  • Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and reporting, following best practices and considering data retention policies
  • Create and model ontology objects; design and build reports and data visualizations, including dashboards
  • Modify solutions to fix errors, adapt to new hardware or runtimes, improve performance, or upgrade interfaces or software versions
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned (ex. perform or coordinate web development)

Minimum Qualifications:
  • Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent

Desired Qualifications:
  • Master's Degree in Computer Science or related field or equivalent experience
  • Experience with Palantir Foundry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

What Subaru of Indiana Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom