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Research Data Analyst Jobs in Indiana (NOW HIRING)

Danaher

Logistics Data Analyst

Indianapolis, IN

Bachelor's degree in Data Science, Analytics, Industrial Engineering, Supply Chain, Operations Research, or related field with 5+ years of experience * Strong understanding of data related to ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Data Science, Analytics, Industrial Engineering, Supply Chain, Operations Research, or related field with 5+ years of experience * Strong understanding of data related to ...

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Design, build, and maintain data platforms, pipelines, and services that support research, analytics, and AI/ML workloads. * Develop and maintain scalable data architectures using modern data ...

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All JobsResearch Data Analyst JobsResearch Data Analyst Jobs in Indiana

Research Data Analyst information

See Indiana salary details

$36.6K

$70.4K

$94.7K

How much do research data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for research data analyst in Indiana is $70,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $93,700.00 per year, depending on experience, location, and employer.

What does a data research analyst do?

A data research analyst collects, analyzes, and interprets large datasets to identify trends and support decision-making. They use statistical tools and software such as Excel, SQL, or Python, and often work closely with other teams to provide actionable insights based on data findings.

What are some common challenges Research Data Analysts face when working with large datasets, and how are they addressed?

Research Data Analysts often encounter challenges such as data inconsistencies, missing values, and integrating data from multiple sources when working with large datasets. Addressing these challenges typically involves implementing rigorous data cleaning protocols, utilizing statistical software for data validation, and collaborating closely with research teams to understand the context behind the data. Analysts may also create documentation and standardized procedures to streamline future data processing and ensure data integrity. Staying updated with best practices in data management can help mitigate many of these issues.

Do research analysts get paid well?

Research Data Analysts typically earn competitive salaries that vary based on experience, education, and industry. Entry-level positions may start around $50,000 annually, while experienced analysts can earn over $80,000 or more, especially with specialized skills in data analysis tools like SQL or Python. Compensation also depends on the organization and geographic location.

What is the difference between Research Data Analyst vs Data Scientist?

AspectResearch Data AnalystData Scientist
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often certifications in data toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or training
Work EnvironmentResearch institutions, universities, or corporate research divisionsTech companies, finance, healthcare, or any industry leveraging big data
Employer & Industry UsageAcademic, government, and research organizationsPrivate sector, startups, and large corporations

Research Data Analysts focus on analyzing data to support research projects, often working within academic or research settings. Data Scientists have a broader scope, including building predictive models and advanced analytics across various industries. While both roles require strong analytical skills and familiarity with data tools, Data Scientists typically have more advanced technical expertise and work on complex data modeling tasks.

What are the key skills and qualifications needed to thrive as a Research Data Analyst, and why are they important?

To excel as a Research Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with statistical software (e.g., R, SAS, SPSS), data visualization tools (like Tableau or Power BI), and programming languages (such as Python) is typically required. Attention to detail, critical thinking, and the ability to clearly communicate complex findings are crucial soft skills. These competencies ensure accurate data interpretation, effective collaboration with research teams, and impactful decision-making based on reliable insights.

Is 40 too late for data science?

A Research Data Analyst or similar data science roles do not have an age limit; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience, regardless of age.

What is a Research Data Analyst?

A Research Data Analyst is a professional who collects, processes, and analyzes data to support research projects across various fields, such as healthcare, social sciences, or business. They use statistical tools and programming languages to interpret complex data sets and help researchers draw meaningful conclusions. Their responsibilities often include data cleaning, statistical analysis, and visualization of results for reports or publications. Research Data Analysts play a crucial role in ensuring the quality and integrity of the data used in research studies.

Will AI replace research analysts?

Research Data Analysts perform data collection, analysis, and interpretation, and AI tools can automate routine tasks such as data processing and reporting. However, human judgment, critical thinking, and domain expertise remain essential for complex analysis and decision-making, making full replacement unlikely in the near term.
What are popular job titles related to Research Data Analyst jobs in Indiana? For Research Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Research Data Analyst jobs in Indiana look for? The top searched job categories for Research Data Analyst jobs in Indiana are:
Research Data Analyst jobs near you
Infographic showing various Research Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,382 per year, or $33.8 per hour.
Data & Analytics Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual

Fort Wayne, IN • On-site

Full-time

Re-posted 9 days ago

Brotherhood Mutual rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

220th of 281 rated insurance

Job description

Job Title: Data & Analytics Analyst - Affiliates

FLSA Status: Exempt

Job Family: Affiliates

Department: Strategy & Operations - Affiliates

Location: Corporate Office (Fort Wayne, IN)


JOB SUMMARY
Responsible for the collection, storage, interpretation, and visualization of company and Affiliate data. Serves as team lead in bringing together data sets in visualization tools, and creating views that identify areas for portfolio focus and attention. Key contributor and input into the buildout and execution of the
Affiliate Data & Analytics practice in support of BrotherhoodWorks, Lightwell & ACG Agencies, and BMIC.


POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Understand objectives, business strategies, and key performance indicators (KPI’s) to provide meaningful management information and analysis to help drive financial and business performance.
  • Develop and maintain Affiliate dashboards through Power BI and other tools.
  • Identify trends, data discrepancies, and/or process improvement opportunities and provide recommended solutions to management.
  • Design, develop and implement predictive and descriptive data mining models to support data driven decision-making.
  • Facilitate development and operationalization of an environment of management information, business intelligence, and decision-making tools for Affiliate team members, and executive leadership.
  • Evaluate and recommend emerging technologies, products, and enterprise-wide solutions.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as product use in the Affiliate niche market.
  • Lead in the production of statistical models, tools, and processes.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Complete other projects as assigned.


KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions.

  • Possess excellent technical and analytical abilities.
  • Demonstrate experience with analytical software, database user interface and query software.
  • Expertise in data mining, mathematics, statistical analysis, and predictive modeling.
  • Possess skills in looking at things differently, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Must have a bachelor's degree in an analytically focused area e.g., data analytics, economics, finance, math, computer science, statistics, or related discipline.
  • Must have three to four years of experience in a data science, analytics, or business insights role with some level of experience in the general insurance industry.
  • At least one year of experience with Excel, SQL, and/or a statistical programming language (e.g., Python, R, SAS) is required.
  • Experience in building analytics using data pipelines, data visualization tools, or dashboard creation is desired.
  • A master's degree in data science, computer science, statistics, or related discipline is desired.
  • Experience on resume within the insurance or financial services industries is desired.


Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying
this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.

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