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Research Data Analyst Jobs in Indiana (NOW HIRING)

Data Analyst

Indianapolis, IN · On-site

$70 - $110/hr

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high ... Data Analyst Hybrid - Indianapolis, IN About the Role We are seeking a Data Analyst with 3-5 years ...

Manipulate and analyze research data in collaboration with investigators. * Evaluate and design research protocols and projects to maximize their impact and effectiveness. * Support grant proposals ...

New

Research Biostatistician

Fort Wayne, IN · On-site

$26.85 - $40.27/hr

Manipulate and analyze research data in collaboration with investigators. * Evaluate and design research protocols and projects to maximize their impact and effectiveness. * Support grant proposals ...

New

Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced ...

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 ...

Growth Strategy Analyst

Fort Wayne, IN · On-site

$23.02 - $34.53/hr

The Growth Strategy Analyst supports the development and execution of Parkview Health's growth strategy through market research, data analysis, and strategic project support. This role compiles and ...

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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 4, 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 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:

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.

$70 - $110/hr

Other

Posted 6 days ago


Job description

Indianapolis, United States | Posted on 08/07/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Data Analyst

Hybrid - Indianapolis, IN

About the Role

We are seeking a Data Analyst with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Key Responsibilities

Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making

Build and maintain reports, dashboards, and visualizations for pharma business stakeholders

Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables

Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines

Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs

Present findings and recommendations to both technical and non-technical audiences

Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs

Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis

Requirements

Required Qualifications

3-5 years of data analysis / business intelligence experience specifically within the pharma industry

Working knowledge of Databricks for querying and analyzing data

Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context

Comfortable working with Big Data and datasets processed through Apache Spark

Strong SQL skills; experience with Python for data analysis is a plus

Demonstrated ability to understand pharma business needs and speak to pharma business groups

Strong communication skills, with demonstrated ability to present data to business stakeholders

Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience

Preferred Qualifications

Experience with BI/visualization tools

Exposure to Delta Lake, Snowflake, or similar modern data platforms

Prior experience supporting pharma commercial, clinical, or R&D reporting functions

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