ZipRecruiter

Log In

1

Statistics Major Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist, AI

Fishers, IN · On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

Munich Re

Data Scientist, AI

Indianapolis, IN · On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Listed below are the major responsibilities of the role and a brief description of some of the key ... Employ statistical techniques to scrutinize data and produce actionable business insights * Develop ...

next page

Showing results 1-20

All JobsStatistics Major JobsStatistics Major Jobs in Indiana

Statistics Major information

See Indiana salary details

$38.5K

$79.6K

$111.3K

How much do statistics major jobs pay per year?

As of Jul 12, 2026, the average yearly pay for statistics major in Indiana is $79,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $110,400.00 per year, depending on experience, location, and employer.

What professions make 200,000 a year without a degree?

In high-paying professions, roles such as commercial pilots, real estate brokers, and certain sales managers can earn $200,000 or more annually without requiring a college degree. Success in these fields often depends on experience, skills, licensing, or certifications rather than formal education.

Is statistician a high paying job?

Statisticians typically earn above-average salaries compared to many other professions, with median annual wages often exceeding national averages. Factors such as experience, education level, industry, and geographic location influence earning potential, and advanced skills in statistical software and data analysis can lead to higher pay.

What types of projects or collaborations can a Statistics Major expect to work on during their first professional role?

As a Statistics Major entering the workforce, you can expect to work on projects involving data collection, cleaning, analysis, and interpretation within cross-functional teams. You may collaborate with professionals from fields such as data science, engineering, marketing, or finance to derive actionable insights from complex datasets. Early-career roles often involve supporting senior analysts with statistical modeling, preparing reports, and contributing to presentations for stakeholders. This collaborative environment helps you build both technical and communication skills, laying a strong foundation for career advancement.

What is a Statistics major?

A Statistics major is an academic program that focuses on the study of collecting, analyzing, interpreting, and presenting data. Students learn mathematical theories, probability, and statistical methods to solve real-world problems in various fields such as business, healthcare, government, and research. The program typically includes coursework in mathematics, computer science, and specialized statistical techniques. Graduates are equipped with analytical skills that are highly valued in data-driven industries.

What jobs can I do with statistics?

A statistics major can pursue roles such as data analyst, statistician, data scientist, or research analyst. These jobs typically involve analyzing data sets, creating models, and using tools like R or Python to inform decision-making across industries like healthcare, finance, and technology.

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

To thrive as a Statistics Major, you need strong analytical skills, proficiency in mathematical reasoning, and a solid understanding of probability and statistical theory, typically supported by coursework in mathematics and statistics. Familiarity with statistical software such as R, SAS, SPSS, or Python and data visualization tools is essential. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting results and presenting findings. These competencies enable accurate data analysis, informed decision-making, and clear communication of complex statistical concepts in academic or professional settings.

What is the difference between Statistics Major vs Data Analyst?

AspectStatistics MajorData Analyst
Required CredentialsBachelor's degree in Statistics, Mathematics, or related fieldBachelor's degree in Statistics, Data Science, or related field; often requires proficiency in data tools
Work EnvironmentAcademic, research, or corporate settings involving data analysis and modelingBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research institutions, and industries requiring statistical modelingCommon in industries focused on data-driven decision making and reporting

Statistics Major and Data Analyst roles share similar educational backgrounds and work environments. While a Statistics Major focuses on developing statistical theories and models, a Data Analyst applies these skills to interpret data and support business decisions. Both roles are essential in data-driven industries, with overlapping skills but different primary focuses.

What are popular job titles related to Statistics Major jobs in Indiana? For Statistics Major jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Statistics Major jobs in Indiana look for? The top searched job categories for Statistics Major jobs in Indiana are:
What cities in Indiana are hiring for Statistics Major jobs? Cities in Indiana with the most Statistics Major job openings:
Statistics Major jobs near you
Infographic showing various Statistics Major job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $79,605 per year, or $38.3 per hour.
Data Scientist-Direct Hire

Data Scientist-Direct Hire

US Department of the Treasury

Muncie, IN • On-site

$74K/yr

Other

Posted 6 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

236th of 689 rated public administrative organizations

Job description

WHAT IS DATA AND ANALYTICS (DAO)-RESEARCH, APPLIED ANALYTICS & STATISTICS (RAAS)?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO - DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements, to be eligible for this position, you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data, identify trends or patterns, evaluate results, and develop findings, reports, or recommendations; Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, analyze, or prepare data for analysis; Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform); Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, or exploratory data analysis, to evaluate data or support analytic findings; and Creating reports, dashboards, visualizations, written summaries, or presentations to communicate statistical or technical findings to technical or non-technical audiences.
OR
EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.
SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above, to be eligible for this position at the GS-12 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources, validate results, identify trends or patterns, and develop findings, reports, or recommendations.
  • Using programming, query, or scripting languages, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to extract, transform, validate, analyze, visualize, or document structured or unstructured data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Applying statistical or data science techniques, such as forecasting, predictive modeling, machine learning, optimization, prescriptive analysis, or exploratory data analysis, to evaluate data, models, programs, or operations and make projections or recommendations.
  • Creating and presenting reports, dashboards, visualizations, written summaries, or presentations that explain statistical or technical methods, findings, limitations, or recommendations to managers, stakeholders, customers, or project teams.

SPECIALIZED EXPERIENCE GRADE 13: In addition to the basic requirements above, to be eligible for this position at the GS-13 level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Independently planning and carrying out data science or statistical analysis projects by defining analytic questions, selecting data sources or methods, analyzing structured or unstructured data, validating results, and developing findings or recommendations.
  • Developing or applying statistical, machine learning, operations research, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, or exploratory data analysis.
  • Using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to prepare, transform, document, analyze, and visualize data for data science projects.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Documenting analytic approaches, assumptions, limitations, validation results, success measures, or key performance indicators, and presenting technical findings or recommendations to managers, stakeholders, customers, or cross-functional teams.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

What U.S. Department Of The Treasury employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply