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Statistical Analyst Jobs in Indiana (NOW HIRING)

blueStone

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation. * Proven ability to work independently through ...

CSAA

Perform GLM and other statistical techniques to build, maintain, and enhance the auto and ... Understand and analyze industry developments, trends and market landscape * Perform competitive ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations ...

Penske

Operational Excellence Analyst

Indianapolis, IN · On-site

This can include coop or internship assignments - Intermediate level of experience in Statistical Analysis and / or Process Automation - Introductory level of experience in Project Management, Time ...

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All JobsStatistical Analyst JobsStatistical Analyst Jobs in Indiana

Statistical Analyst information

See Indiana salary details

$28.5K

$67K

$111.8K

How much do statistical analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for statistical analyst in Indiana is $67,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $77,100.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but statistical analysts play a crucial role in interpreting complex data, developing models, and making strategic decisions. The role of a statistical analyst involves skills in statistical methods, programming, and critical thinking that are not easily replaced by AI alone.

What does a Statistical Analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

Can I be a data analyst with no experience?

Statistical Analysts often require some background in statistics, data analysis, or related fields, but entry-level positions may be available for those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing online courses can improve chances of starting a career without prior experience.

Is 40 too late for data science?

A statistical analyst or data scientist can start a career at age 40, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with experience and continuous learning.

What are some common challenges Statistical Analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

What are the key skills and qualifications needed to thrive as a Statistical Analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What Is a Statistical Analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What do statistical analysts do?

Statistical analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support strategic planning. Strong analytical skills and knowledge of tools like Excel, R, or SAS are essential for this role.
More about Statistical Analyst jobs
What are the most commonly searched types of Statistical Analyst jobs in Indiana? The most popular types of Statistical Analyst jobs in Indiana are:
What are popular job titles related to Statistical Analyst jobs in Indiana? For Statistical Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst jobs in Indiana look for? The top searched job categories for Statistical Analyst jobs in Indiana are:
What are popular job titles related to Statistical Analyst jobs in IN? For Statistical Analyst jobs in IN, the most frequently searched job titles are:
Statistical Analyst jobs near you
Infographic showing various Statistical 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 $67,038 per year, or $32.2 per hour.
Sr. Business Analyst

Sr. Business Analyst

blueStone

Indianapolis, IN

$88K - $114K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description

blueStone Executive Search specializes in technical searches, aligning top IT professionals with superior companies worldwide,

Job Description

We are seeking an experienced Sr. Data or Business Analyst on a full-time, permanent basis for our client, a recognized and viable $350M+ organization, a leader in their vertical - nationally. The Sr. Business Analyst  will serve as a leader in data analysis to collaborate with clients and management to enhance the value of our client's products and services. The qualified candidate will be responsible for the following:
Sr. Business Analyst Essential Duties:

  • Develop data requirements to based on customer feedback and definition.
  • Deliver data products in presentation format to customers.
  • Work on ad-hoc data requests.
  • Explain data pulls and reporting to IT and business users to validate requirements are correct and understood. 
  • Maintain working relationships with internal and external customers and resolve issues that may arise. 
  • Quarterly and monthly analysis, including variance analysis. 
  • Conduct projects and participate in problem solving and improvement team activities.
  • Perform data analysis and business acumen to document the business/technical requirements needed to develop effective data-feed interfaces. 
  • Collaborate with clients and management to enhance the value of our products and services. 
  • Build cross-departmental understanding of the importance of data quality, completeness, and timeliness. 
  • Determine and analyze customer requirements, use system data, and provide input needed by various departments and senior management to produce business and scientific reports. 
  • Research and develop analysis of new product ideas. 
  • Operates with minimal supervision
Qualifications
  • Bachelor's degree.
  • Working knowledge of SQL and Excel required and knowledge of VBA and statistical languages preferred. 
  • Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation. 
  • Proven ability to work independently through analysis of data to identify business trends, opportunities, and anomalies. 
  • Intuition for and experience with predictive modeling a plus.
Additional Information

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