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Research Data Analyst Jobs in Indiana (NOW HIRING)

HR Data Analyst / Compensation & Benefits Analyst (Contract) Indianapolis, IN Full-Time | On-Site ... Research and resolve data discrepancies while recommending process improvements. * Handle ...

HR Data Analyst / Compensation & Benefits Analyst (Contract) Indianapolis, IN Full-Time | On-Site ... Research and resolve data discrepancies while recommending process improvements. * Handle ...

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 ...

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 ...

Performs data analysis and generates reports of experimental results. * Manages experimental set-up ... Prepares research reports or analyses for projects. * Maintains safety records and ensures safety ...

... a Research Analyst to join our team. The Indiana University School of Medicine is the largest ... Leads protocol development, data analysis and report preparation. * Maintains safety records and ...

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 ...

Showing results 21-40

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 Aug 9, 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.

Can I be a research data analyst with no experience?

Research data analyst roles typically require some experience with data analysis tools like Excel, SQL, or statistical software, but entry-level positions may be available for candidates with relevant education or strong analytical skills. Gaining certifications or completing relevant coursework can improve chances of starting in this field without prior work experience.

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.

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.

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.
Infographic showing various Research Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,382 per year, or $33.8 per hour.

Director of Program Evaluation and Assessment (Data Analyst)

Indiana University

Indianapolis, IN • On-site

$87K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago


Job description

The Indiana University (IU) Indianapolis School of Education (SoE) is committed to examining our collective role in improving the human condition. We develop leaders, educators, and counselors equipped to critique and disrupt longstanding inequities and address the changing dynamics in urban educational contexts. Through community-engaged research, teaching, and service, we seek to positively impact youth and adult learners in educational systems and serve the welfare of communities through engagement in strategic alliances to promote equitable, just, culturally relevant, and sustaining practices in teaching and learning.
Job Summary
  • Provides advanced analysis of existing data and data structures and satisfies ad-hoc reporting/analysis requests; serves as a first point of escalation for junior analysts.
  • Creates reporting specifications for complex reports/dashboards/analytical tools and leads testing/validation; ensures integrity, accessibility, and accuracy of reports/dashboards and data structures; addresses unique or more involved user requests for access to reporting data and tools.
  • Provides advanced consultation to faculty and/or staff and identifies business reporting needs and opportunities for analysis to drive business decisions; provides advanced guidance and interpretation of complex environments and data.
  • Makes recommendations and provides peer review and coaching; ensures proper documentation of data analysis efforts (data sources, reporting specifications, tools, issue/problem resolutions).
  • Ensures that all processes and analysis approaches are up to date and as efficient as possible; may participate in committees and communities of practice to share and improve data analysis practices across the university.
  • Performs advanced analysis to interpret and determine validity and quality of data.
  • Performs complex migration and conversion of data in support of analysis efforts.
  • Provides advanced research/analysis and stays up to date on emerging technologies and tools; makes recommendations for implementation to improve data analysis services and approaches.
  • May serve as project leader; often provides guidance to junior peers.
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, information science, or a related field).
WORK EXPERIENCE
Required
  • 5 years of data analysis, reporting, or related experience.
SKILLS
Required
  • Proficient written and verbal communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrates time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast-paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.
  • Possesses a high degree of initiative.
  • Ability to influence internal and/or external constituents.
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
IU Indianapolis
Advertised Salary
$87,000.00 per year based on education and experience.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Advanced
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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