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Data Analyst Jobs in Indiana (NOW HIRING)

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings from various sources. As such, the incumbent must be knowledgeable in information technology, data ...

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All JobsData Analyst JobsData Analyst Jobs in Indiana

Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Indiana? The most popular types of Data Analyst jobs in Indiana are:
What are popular job titles related to Data Analyst jobs in Indiana? For Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Indiana look for? The top searched job categories for Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst jobs? Cities in Indiana with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Program Evaluation & Data Analyst

National FFA Organization

Indianapolis, IN • On-site

Full-time

Posted 19 days ago

Job description

JOB SUMMARY:
The National FFA Organization is looking for an individual to join our team who can write, translate, and interpret data for diverse audiences and programs. The ideal candidate will be a forward-thinking collaborator with the ability to drive, develop, and execute comprehensive evaluation and assessment plans to support the educational programming and strategic priority areas within the National FFA Organization, which require an individual with a strong combination of analytical skills, intellectual curiosity, and reporting acumen. This role will be responsible for developing, designing, and implementing evaluation and assessment plans and protocols for programs throughout the organization. It involves creating methods to report measurable outcomes and developing actionable recommendations by extracting key insights from complex data sources, rooted in a thorough understanding of program objectives. The ideal candidate will facilitate a collaborative process in designing, coordinating, and implementing multiple evaluation and assessment processes that operate simultaneously with internal and external stakeholders. Additionally, the candidate will need to be able to produce a peer-reviewed literature search and incorporate findings to support research initiatives within the organization. The candidate will need to be comfortable working on multiple projects and will also be required to work across various divisions within the organization. Additionally, they must be willing to work in a growth-minded and collaborative team-focused environment.
Requirements
ESSENTIAL FUNCTIONS:
  • Demonstrate daily expertise in operating Excel and other advanced analytical software,
  • including Qualtrics, SPSS, and ESpatial. Possess the skills to translate and interpret data for
  • various purposes and audiences.
  • Effectively develop the ability to write and conduct peer reviews of written reports and other deliverables, successfully create reports, and present findings to small and large, various audiences and groups.
  • Structure, manipulate, and analyze extensive data sets to extract usable information
  • Develop and execute programmatic assessments and evaluations that produce measurable
  • outcomes for organizational programs.
  • Identify, evaluate and summarize peer-reviewed research articles to enhance programs and research initiatives.
  • Leverage prioritization, organization, time management, and multitasking abilities to ensure timely completion of deliverables. Prioritize, organize, use time management skills, and be adept at multitasking while working with a diverse group of internal and external stakeholders.
  • Actively assess workflows and identify opportunities to streamline team and individual processes to enhance efficiency. Serve as key contributor to internal documentation of team policies, practices, and procedures to support longevity and continuity.
  • Work independently and collaboratively while exhibiting a strong work ethic, positive attitude, and self-confidence, while being coachable.

EDUCATION:
  • A bachelor's degree is required, and a master's degree is preferred. Relevant course work in program evaluation, community-based research, and/or statistical analysis.

EXPERIENCE:
  • One to three years of relevant experience with data analysis.
  • Writing experience in a research or journalism-related field.
  • Proficient experience in statistical analysis and data management.

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