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Associate Degree In Data Analytics Jobs in Indiana

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

A bachelor's degree in computer science, data science, software engineering, or related field (R) Experience : At least five years of experience in data analytics, data engineering, software ...

New

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 ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Requirements * 2-5 years of hands-on experience in data engineering or analytics roles. * Bachelor of Science or advanced degree from an ABET accredited school. * Strong proficiency in Python.

Build and maintain T-SQL and Spark/SQL (or equivalent) data transformations in the Data Lakehouse ... Bachelor's degree in a related field or equivalent coursework / certification. Why Work for Us?

Requirements * 2-5 years of hands-on experience in data engineering or analytics roles. * Bachelor of Science or advanced degree from an ABET accredited school. * Strong proficiency in Python.

Build and maintain T-SQL and Spark/SQL (or equivalent) data transformations in the Data Lakehouse ... Bachelor's degree in a related field or equivalent coursework / certification. Why Work for Us?

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Associate Degree In Data Analytics information

See Indiana salary details

$3.1K

$6K

$8.6K

How much do associate degree in data analytics jobs pay per month?

As of Aug 1, 2026, the average monthly pay for associate degree in data analytics in Indiana is $5,985.92, according to ZipRecruiter salary data. Most workers in this role earn between $5,433.33 and $6,383.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Indiana? For Associate Degree In Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Indiana look for? The top searched job categories for Associate Degree In Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Associate Degree In Data Analytics jobs? Cities in Indiana with the most Associate Degree In Data Analytics job openings:
Infographic showing various Associate Degree In Data Analytics job openings in Indiana as of July 2026, with employment types broken down into 14% Internship, and 86% Full Time. Highlights an 100% In-person job distribution, with an average salary of $71,831 per year, or $34.5 per hour.

Data Analytics Engineer

Haynes International

Kokomo, IN • On-site

$101K - $121K/yr

Full-time

Posted 3 days ago

New


Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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