1

Statistical Analyst Jobs in Indiana (NOW HIRING)

Use analytical tools and techniques to process and interpret data, including geographic information systems (GIS), statistical analysis, and social network analysis. * Collaborate with law ...

New

Senior Financial Analyst

Fort Wayne, IN Β· On-site

$78K - $97K/yr

Identify trends, risks, and opportunities through quantitative and statistical analysis. * Provide financial insights and recommendations to Finance Management to support operational and strategic ...

Required : β€’ Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. β€’ Proficiency in data analysis tools such as SQL, Python, R, or Excel. β€’ Experience ...

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 ...

Data Analyst Full Time Odon, IN, US 1 Attachments 8 days ago Requisition ID: 1085 Position Overview ... Support predictive modeling, statistical simulation, and machine learning initiatives * Help ...

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 ...

Qualifications: - Bachelor's Degree required, concentration in - Degree in Industrial Engineering, Engineering (other), Statistics, Business Analytics preferred - Master's Degree preferred - Six ...

Showing results 41-60

Statistical Analyst information

See Indiana salary details

$28.5K

$67K

$111.8K

How much do statistical analyst jobs pay per year?

As of Sep 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.

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 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.

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 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.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

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:

Infographic showing various Statistical Analyst job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $67,038 per year, or $32.2 per hour.

Sr. Advisor - Statistics (RWE)

Indianapolis, IN β€’ On-site

Initial Therapeutics, Inc.
Biotechnology Research and DevelopmentΒ β€’Β 11 - 50 employees

$151K - $244K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life‑changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Purpose

The Clinical Project Statistician develops or assists in the development of protocol designs, clinical plans, and data analysis plans in collaboration with physicians, clinical research scientists, and other research colleagues. The Clinical Project Statistician is responsible for working with research associates and scientists to establish a reporting database and for analyzing data for clinical studies.

Primary Responsibilities Statistical Trial Design and Analysis
  • Provide input on study protocol, design studies and write protocols for the conduct of each study.
  • Be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.
  • Collaborate with data sciences in the planning and implementation of data quality assurance plans.
  • Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and be competent in justifying methods selected.
  • Perform peer‑review of work products from other statistical colleagues.
  • Influence team members regarding appropriate research methods.
Communication of Results and Inferences
  • Collaborate with team members to write reports and communicate results.
  • Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one‑on‑one with key customers and presenting at scientific meetings.
  • Respond to regulatory queries and interact with regulators.
Therapeutic Area Knowledge
  • Understand disease states, competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.
Regulatory Compliance
  • Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training.
Statistical Leadership and Teamwork
  • Introduce and apply innovative methodology and tools to solve critical problems.
  • Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.
  • Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions.
Minimum Qualification Requirements
  • Ph.D. in Statistics or Biostatistics or Epidemiology or Computer Science with at least 3 years of experience in Real World Evidence research.
Other Information / Additional Preferences
  • Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUGs, etc.
  • Interpersonal communication skills for effective customer consultation.
  • Teamwork and leadership skills.
  • Technical expertise and application with working knowledge of experimental design and statistical analysis.
  • Self‑management skills with a focus on results for timely and accurate completion of competing deliverables.
  • Resource management skills.
  • Creativity and innovation.
  • Demonstrated problem‑solving ability and critical thinking.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

The anticipated wage for this position is $151,500 - $244,200. Full‑time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company‑sponsored 401(k) pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day‑care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#J-18808-Ljbffr