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Data Analyst Jobs in Indiana (NOW HIRING)

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling ...

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Operations Data Analyst Location: Indianapolis, IN (Hybrid) Type: 17 month contract Compensation: $59.69-70.22/hour, depending on qualifications Work Model: Hybrid - 3 days onsite Hours: 40.0 ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

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 ...

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Netpace Inc is seeking a Data Analyst responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. The role involves working with large datasets ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

The Data Analyst SME Contractor Support Lead will serve as the primary contractor technical authority for all data analysis activities, delivering actionable insights, developing analytical ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

Danaher

Logistics Data Analyst

Indianapolis, IN · On-site

The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data into actionable insights, identifying opportunities for cost savings and driving accountability. They ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Position Summary The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data ...

Subaru

Production Control Data Analyst

Lafayette, IN · On-site

Production Control Data Analyst Production Control Department Workstyle: Onsite Position Summary: The Production Control Data Analyst is responsible for data collection and analysis used to develop ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings from various sources. As such, the incumbent must be knowledgeable in information technology, data ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Indiana

Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst in Indiana is $78,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Indiana?

The most popular types of Data Analyst jobs in Indiana are:

What are popular job titles related to Data Analyst jobs in Indiana?

For Data Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Indiana look for?

The top searched job categories for Data Analyst jobs in Indiana are:

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Cities in Indiana with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Senior Data Analyst

Accelint

Bloomington, IN • On-site

$99K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Key responsibilities

  • Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models.

  • Partner with senior stakeholders to define analytical objectives and translate business challenges into data-driven strategies.

  • Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.

Job description

Lyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.
Lyntris supports U.S. and allied defense organizations across every branch - including Navy, Army, Air Force, Space Force and allied partners - spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.
Solutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle - with integrated design, build and test capabilities in-house - and delivers systems that sustain and endure long after initial fielding.
Job Description
  • Senior Data Analyst
  • Full Time
  • Hybrid

The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling efforts to develop readiness based spares to drive strategic and operational decision-making across the organization. This role translates high-level business challenges into advanced analytical frameworks, develops predictive and diagnostic models, and delivers compelling data narratives to executive stakeholders. The position requires a highly specialized skill set, extensive experience, and full autonomy in executing highly complex assignments, with significant latitude for independent judgment.
This role works closely with subject matter experts in data engineering, system engineering, technical leadership and analytical expertise. This position is responsible for developing and executing complex readiness, sustainment, and logistics modeling efforts in direct support of Navy and Department of War (DoW) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 5+ years of experience assessing data and Opus Suite.
Duties & Responsibilities
Model development
  • Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning.
  • Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies.
  • Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards.
  • Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices.
  • Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques.
  • Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve.
  • Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements.
  • Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model.

Technical Documentation
  • Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support.
  • Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance.
  • Ensure accuracy and completeness of all documentation.

Collaboration and Communication
  • Foster effective collaboration with cross-functional teams to achieve project objectives.
  • Communicate complex technical information clearly and effectively.

Tool and Methodology Application
  • Utilize identified software and follow business rules and processes.
  • Identify areas to improve efficiency and accuracy and integrate those into modeling best practices

Required Qualifications
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Analytics, or a related technical field.
  • Minimum of 5+ years of experience in systems engineering, logistics analysis, or modeling and simulation
  • Advanced experience in data engineering practices and readiness modeling methodologies within the DoD or equivalent complex enterprise environment.
  • Expert in the application of reliability, maintainability, and availability (RMA) principles and lifecycle sustainment analysis.
  • Lead multidisciplinary teams and coordinating across multiple stakeholders to deliver integrated technical solutions.
  • Strong communication, leadership, and analytical problem-solving skills.

Preferred Qualifications (Not Required)
  • Expert with Opus Suite (OPUS10, SIMLOX, CONNECT) or equivalent readiness-based sparing platforms.
  • Experience exporting and analyzing data from Navy authoritative systems
  • Familiar with development of supportability analysis
  • Familiar with a developing a readiness based spares package
  • Understanding of the aerospace and defense industry.
  • Knowledge of DoW policies and requirements

Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role is:
99,433 - 124,644 USD per year (Bloomington, IN)

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