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Quantitative Data Analyst Jobs in Indiana (NOW HIRING)

Bsu

Clinical Research Associate

Muncie, IN

$55K - $60K/yr

Analyze qualitative and quantitative data to prepare summaries for progress reporting to the granting agency. * Utilize statistical software (e.g., SPSS) to manage and analyze quantitative research ...

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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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All JobsQuantitative Data Analyst JobsQuantitative Data Analyst Jobs in Indiana

Quantitative Data Analyst information

See Indiana salary details

$53.8K

$127.4K

$228.4K

How much do quantitative data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantitative data analyst in Indiana is $127,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $138,500.00 per year, depending on experience, location, and employer.

What does a Quantitative Data Analyst do?

A Quantitative Data Analyst uses statistical, mathematical, and computational techniques to analyze complex datasets and derive meaningful insights. They work with large datasets to identify patterns, trends, and correlations that support data-driven decision-making. Typically, they use programming languages like Python, R, and SQL, along with tools like Excel and machine learning models. Their work is crucial in industries like finance, healthcare, and technology, where data-driven strategies improve efficiency and outcomes.

What are some common challenges Quantitative Data Analysts face in their day-to-day work?

Quantitative Data Analysts often encounter challenges such as ensuring data accuracy, cleaning large and complex datasets, and managing inconsistent or incomplete information. They may also need to translate abstract statistical findings into clear, actionable recommendations for team members who may not have a technical background. Additionally, balancing multiple projects and tight deadlines can require strong organizational skills. Collaborating effectively with colleagues from different departments helps to align analytical solutions with business objectives and ensures that insights drive real impact.

What are the key skills and qualifications needed to thrive in the Quantitative Data Analyst position, and why are they important?

To thrive as a Quantitative Data Analyst, you need strong analytical skills, proficiency in statistics and mathematics, and a relevant degree such as in mathematics, statistics, economics, or computer science. Expertise with technical tools like SQL, Python, R, data visualization platforms, and possibly certifications in data analytics or statistical software is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These competencies ensure the accurate analysis and clear presentation of complex data, enabling informed business decisions and organizational success.

What are the most commonly searched types of Quantitative Data Analyst jobs in Indiana? The most popular types of Quantitative Data Analyst jobs in Indiana are:
What are popular job titles related to Quantitative Data Analyst jobs in Indiana? For Quantitative Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Analyst jobs in Indiana look for? The top searched job categories for Quantitative Data Analyst jobs in Indiana are:
Quantitative Data Analyst jobs near you
Infographic showing various Quantitative 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 $127,393 per year, or $61.2 per hour.
Client Services Business Analyst I - Healthcare Data

Client Services Business Analyst I - Healthcare Data

Precision Medicine Group

Indianapolis, IN • Remote

Other

Re-posted 4 days ago

Job description

***Unfortunately, the Client Services Business Analyst I - Healthcare Data is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area because this is a hybrid role and requires one a day a week in the office.***

Position Summary: 

The Client Services Analyst will play a critical role in ensuring the successful delivery of services and solutions to our clients.  This position requires a high level of technical expertise along with strong communication skills and a commitment to excellence.  This role will support several clients with oversight from a manager of client services. The ideal candidate will have a strong sense of ownership and accountability, an inquisitive mindset, a background in T-SQL, and the ability to consistently produce high-quality work in a timely manner following a standard process. 

Essential functions of the job include but are not limited to:  

  • Analyze client requirements and translate them into technical specifications. 
  • Ensure the accuracy and integrity of data by conducting thorough quality checks and validations. 
  • Own client jobs making sure they are running smoothly and on-time per established calendar; identify and remediate pain points to continually improve the process. 
  • Collaborate with cross-functional teams to deliver value to our clients every day. 
  • Maintain clear and effective communication with clients, address issues promptly, and provide regular updates. 
  • Respond to and fulfill client tickets and requests in a timely manner with quality. 
  • Contribute to client team meetings for client projects and engagements. 
  • Take accountability for project deliverables, ensuring they meet the established standards and client expectations. 
  • Develop, test, and deploy T-SQL scripts to support various client projects. 
  • Implement advanced ETL processes to acquire and load large datasets. 
  • Follow established procedures and standards as outlined by leadership. 
  • Maintain associated procedural documentation. 
  • Evaluate appropriateness of data for ad hoc requests and client projects. 
  • Contribute code that is well-documented, logical, and easy to follow. 
  • Other duties as assigned. 

Qualifications: 

Minimum Required: 

  • Undergraduate degree 
  • Experience with relational databases 

Preferred:  

  • 1 to 3 years industry experience in either data analytics or healthcare 
  • Evident proficiency and hands-on experience using T-SQL in a Microsoft SQL Server environment. 
  • Descriptive statistics and/or Pharmaceutical/Healthcare industry experience. 
  • Undergraduate degree with a quantitative focus. 

Skills:  

  • Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. 
  • Strong sense of accountability and ownership for delivering high-quality work. 
  • Exceptional attention to detail, ensuring accuracy and precision in all tasks. 
  • Proficiency in T-SQL with hands-on experience in writing complex queries and scripts. 
  • Effective time management skills and ability to keep multiple projects on schedule. 
  • Experience in a client-facing role or in the pharmaceutical industry is a plus 
  • Ability to work remotely. 
  • Strong problem-solving skills and a proactive approach to identifying and addressing issues within established product boundaries. 
  • Strong team player with the ability to work and execute independently. 
  • Desire for continuous improvement and growth - driven to excel. 
  • Demonstrated proficiency in Microsoft Office product suite including PowerPoint, Word, and Excel. 
  • Experience in SSIS is a plus but not required. 

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