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Research Data Analyst Jobs in Indiana (NOW HIRING)

Deaconess

Financial Analyst Research

Evansville, IN · On-site

$22.32 - $31.25/hr

Experience working with budgets, forecasting, financial reporting, and data analysis * Advanced ... Knowledge of research funding structures and financial compliance requirements * Experience with ...

ManTech

Senior Database Analyst

Crane, IN

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... As a core member, you will assist in the research & design, engineering, integration, testing ...

ManTech International

Senior Database Analyst

Crane, IN · On-site

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... As a core member, you will assist in the research & design, engineering, integration, testing ...

Allied Solutions LLC

UX Researcher

Carmel, IN · On-site

They plan research activities, conduct both qualitative and quantitative research methods, analyze the results, and translate the uncovered data into actionable insights. UX Researchers use industry ...

Allied Solutions LLC

UX Researcher

Carmel, IN

They plan research activities, conduct both qualitative and quantitative research methods, analyze the results, and translate the uncovered data into actionable insights. UX Researchers use industry ...

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Showing results 21-40

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 Sep 1, 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 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.

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 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 most commonly searched types of Research Data Analyst jobs in Indiana?

The most popular types of Research Data Analyst jobs in Indiana are:

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 August 2026, with employment types broken down into 86% Full Time, 2% Part Time, and 12% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $70,382 per year, or $33.8 per hour.

IES Domain Analyst

Corteva, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Corteva Agriscience rating

8.2

Company rating: 8.2 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers

Job description

The Integrated Enterprise Systems (IES) Domain Analyst is a strategic, cross-functional role that helps connect research needs with digital and data capabilities across R&D and IES and will play a central role in defining data concepts, building data models, shaping feature sets and process flows, and translating research challenges into structured work for project teams. The position focuses on data strategy, governance, integration, and stakeholder collaboration to improve consistency, scalability, and alignment across R&D platforms and initiatives as well as driving both strategic planning and tactical execution. This position requires strong project management skills, communication and problem-solving skills to support research data system development and strategic planning.
Key Responsibilities
Domain Analysis & Strategy
  • Lead investigations into complex digital and data domain challenges assigned by R&D leadership.
  • Represent IES needs during third-party evaluations and implementation planning.
  • Partner with IES experts on data security reviews.
  • Act as a consultant to domain teams and program leads on data, business processes, and governance.
  • Critically assess the value and prioritization of potential projects in portfolio
  • Collaborate with IES domain analysts and architects to develop discussion guidelines and drive data strategy.
  • Collaborate with the Competency Technology Leads, Domain Architect, Research Domain Leads, and Domain Analyst group members to create strategic and tactical plans for research systems.
  • Work collaboratively with research partners to identify and define high value opportunities in the digital and data project landscape
  • Apply systems-thinking and domain analysis skills to evaluate opportunities across and within research areas, identify integration points among workflows, processes, and data, and help shape a holistic vision and roadmap for future capabilities.
  • Identify and escalate opportunities in the project landscape that require changes in plan or resourcing.

Data Governance & Modeling
  • Contribute to the development of a data governance framework for all projects.
  • Define and model research data concepts to ensure consistency and clarity.
  • Advise development teams during governance reviews.
  • Work collaboratively and independently with research partners to understand core data concepts and define data interactions for current and future systems.
  • Create data models and conceptual definitions with data owners, stewards, and system design teams.
  • Build high-level feature sets and process diagrams to create work packages for project teams.
  • Facilitate connections between internal and external data concepts used by R&D.
  • Promote a data-centric culture through governance and planning activities.

Leadership & Influence
  • Co-develop and communicate domain vision and portfolio with the R&D Lead and Domain Architect.
  • Educate and influence R&D teams on the importance of strong data strategy.
  • Communicate complex technical information to a variety of audiences in a clear and concise manner.
  • Drive the creation and adoption of domain blueprints and integration roadmaps.

Qualifications
  • Proven experience in domain analysis, data governance, or digital strategy within R&D or related fields.
  • Strong understanding of IES Domains, Competencies and data ecosystems.
  • Ability to work cross-functionally, influence without direct authority, and build confidence in new technologies.
  • Excellent communication and stakeholder management skills.
  • Strategic thinking and enterprise mindset.
  • Ability to build trusting relationships with partners.
  • Comfortable working through ambiguity, asking questions, and remaining inquisitive.
  • Excellent requirements-gathering and problem-solving skills, with strong attention to detail and the ability to understand interconnected processes.
  • Comfortable using a variety of tools to accomplish work.
  • Ability to balance tactical decisions with strategic goals and objectives.

Preferred Skills
  • 8 to 10+ years of experience
  • BS, MS or PhD in physical or life science disciplines
  • Experience with Crop Health, Regulatory & Stewardship, Enabling Capabilities R&D Domains.
  • Familiarity with Software Engineering, Data Science, and Data Engineering knowledge for troubleshooting and technical support.
  • Exposure to cross-domain architecture and technical Centers of Excellence (CoEs).

#LI-AB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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