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Quantitative Data Analyst Jobs in Indiana (NOW HIRING)

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The incumbent will validate and analyze agency data to garner public health insight for specific ... and quantitative data. • Working knowledge of MS Office Suite including Excel, Word, and ...

SAIC

Data Analyst

Bedford, IN · On-site

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ... Design and execute complex quantitative and qualitative analyses to address government program ...

SAIC

Data Analyst

Bedford, IN · Remote

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ... Design and execute complex quantitative and qualitative analyses to address government program ...

SAIC

Data Analyst

Bedford, IN · On-site

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ... Design and execute complex quantitative and qualitative analyses to address government program ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical ... Design and execute complex quantitative and qualitative analyses to address government program ...

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Quantitative Data Analyst information

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$53.8K

$127.4K

$228.4K

How much do quantitative data analyst jobs pay per year?

As of Aug 4, 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.

Is it hard to become a quantitative data analyst?

Becoming a quantitative data analyst typically requires strong skills in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as mathematics, economics, or computer science. Gaining proficiency in tools like Python, R, or SQL and obtaining relevant certifications can also improve job prospects, but the level of difficulty varies based on individual background and experience.

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 as a quantitative data analyst?

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.

Data Analyst - Indianapolis, IN

STI

Indianapolis, IN • On-site

Full-time

Re-posted 29 days ago

Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings.

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