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Applied Statistician Jobs in Indiana (NOW HIRING)

Ra

Marketing Analytics Manager

Indianapolis, IN

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Socket.dev

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame ...

RADcube - A NLogix Company

Data Scientist

Indianapolis, IN · On-site

$110 - $160/hr

This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame ...

FORVIA

Quality Technician

Columbus, IN · On-site

$16.75 - $22.50/hr

Understanding of Gage R & R studies, DOE, Capability studies, use of Mini Tab, applied statistics/sampling techniques, 5 - Y root cause analysis, cut & etch weld techniques and validations * Quality ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

COMFORT SYSTEMS

Data Scientist I

Indianapolis, IN · On-site

$61 - $123/hr

The role requires increasing technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on developing business knowledge. The individual will ...

New

Cummins Inc.

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

Cummins

Applied Mechanics - Sr. Engineer

Columbus, IN · On-site

$83K - $115K/yr

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

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All JobsApplied Statistician JobsApplied Statistician Jobs in Indiana

Applied Statistician information

See Indiana salary details

$38.5K

$79.6K

$111.3K

How much do applied statistician jobs pay per year?

As of Sep 2, 2026, the average yearly pay for applied statistician 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 is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior roles with advanced skills in statistical software and data analysis can earn higher salaries, especially in competitive markets or specialized sectors.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to solve real-world problems. They often analyze data, develop models, and use tools like R, SAS, or Python to inform decision-making and policy. These roles typically require strong analytical skills and knowledge of statistical software and techniques.
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What job categories do people searching Applied Statistician jobs in Indiana look for?

The top searched job categories for Applied Statistician jobs in Indiana are:

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Applied Statistician jobs near you
Infographic showing various Applied Statistician job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $79,605 per year, or $38.3 per hour.

Marketing Analytics Manager

Ra

Indianapolis, IN

Full-time

Re-posted 4 days ago

Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.

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