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Associate Degree In Data Analytics Jobs in Indiana

Data Analyst

Attica, IN ยท On-site

Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field * Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or ...

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. * Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Data Engineer - ONSITE

Butler, IN ยท On-site

$117K - $140K/yr

Proven background in data engineering, analytics engineering, or similar roles. * Strong SQL ... Bachelor's degree in a relevant field, equivalent experience, or industry certifications.

Sr Business Data Analyst

Whiteland, IN ยท On-site

$70K - $115K/yr

Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required * 3+ years of experience in data analytics, business ...

Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required * 3+ years of experience in data analytics, business ...

New

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Bachelor's degree in related field (i.e. Data Analytics, Statistics, Computer Science, Computer Engineering, Business, or related field) required * 3+ years of experience in data analysis, business ...

Senior Data Analyst

Goshen, IN ยท On-site

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

... in data analytics, or equivalent combination. Advanced degree preferred. * Minimum of two years of experience in a senior analytical role * Ability to travel 10% * Quality Management System process ...

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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 Jul 12, 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 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 Analyst

Full-time

Posted 19 days ago


Job description

The Data Analyst โ€“ Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data analytics with process improvement practices to identify opportunities for increased productivity, reduced waste, and improved performance across operations. The position supports a proactive, data-driven approach to decision-making within the organization.

Essential Duties and Responsibilities

  • Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources
  • Evaluate current work processes to determine workflow, time requirements, cost drivers, and production durations
  • Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods
  • Develop and implement strategies and programs to improve productivity, efficiency, and overall operational performance
  • Support process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce waste
  • Assist in determining optimal process settings and operational parameters to improve output and control costs
  • Analyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtime
  • Work with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment life
  • Analyze quality data to identify defect patterns and root causes
  • Instruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniques
  • Facilitate team-based improvement activities to strengthen collaboration and improve results
  • Develop and coordinate programs to recognize and reward employee contributions to process improvement initiatives

Qualifications

  • Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field
  • Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred
  • Working knowledge of manufacturing processes and continuous improvement methodologies

Skills and Competencies

  • Strong analytical and problem-solving skills
  • Ability to interpret data and provide practical, actionable recommendations
  • Effective communication and training skills
  • Strong attention to detail and accuracy
  • Ability to work independently and within cross-functional teams

Language Ability:

Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.

Math Ability:

Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis.

Reasoning Ability:

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

Computer Skills:

Advanced working knowledge of Microsoft Office Suite required.

Certificates and Licenses:

No certifications needed

Supervisory Responsibilities:

This job has no supervisory responsibilities.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is frequently exposed to work near moving mechanical parts; fumes or airborne particles and toxic or caustic chemicals. The employee is occasionally exposed to wet or humid conditions (non-weather); work in high, precarious places; outdoor weather conditions and vibration.

The noise level in the work environment is usually moderate, occasionally loud or very loud.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision, Color Vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is occasionally required to sit; climb or balance and stoop, kneel, crouch, or crawl.