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Intelligence Analyst Jobs in Indiana (NOW HIRING)

Prepares Intelligence simulations. * Provides analytical SME on the different types of intelligence in support of Mission Command training. * Develops and/or refines courseware and curricula to meet ...

Prepares Intelligence simulations. * Provides analytical SME on the different types of intelligence in support of Mission Command training. * Develops and/or refines courseware and curricula to meet ...

Monitorcompetitorand industry intelligence toidentifyemerging risks and opportunities ... Analysis & Insight Generation * Assess and interpret regulatory changes for impacttoproducts ...

We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and ...

We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and ...

We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and ...

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Intelligence Analyst information

See Indiana salary details

$20.5K

$78.5K

$142.7K

How much do intelligence analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for intelligence analyst in Indiana is $78,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $98,000.00 per year, depending on experience, location, and employer.

How much is an intelligence analyst paid?

The average salary for an intelligence analyst in the United States ranges from $60,000 to $100,000 annually, depending on experience, location, and security clearance level. Entry-level positions typically start around $50,000, while experienced analysts with specialized skills can earn over $110,000. Many roles also offer benefits such as health insurance and retirement plans.

How hard is it to become an FBI intelligence analyst?

Becoming an FBI intelligence analyst requires a bachelor's degree, often in criminal justice, political science, or related fields, along with relevant work experience or internships. Candidates must pass a thorough background check, polygraph, and medical exam, and may need to complete specialized training at the FBI Academy. Strong analytical skills, attention to detail, and proficiency with intelligence tools are essential for success in this role.

What are some common challenges Intelligence Analysts face when synthesizing information from multiple sources?

Intelligence Analysts often work with vast amounts of data from diverse sources, which can sometimes be incomplete, conflicting, or rapidly changing. A major challenge is ensuring the accuracy and relevance of information while filtering out noise and minimizing cognitive bias. Effective collaboration with colleagues from other departments and clear communication of findings are essential to overcome these challenges and provide actionable intelligence to decision-makers.

What is the difference between Intelligence Analyst vs Security Analyst?

AspectIntelligence AnalystSecurity Analyst
Required CredentialsBachelor's degree in criminal justice, international relations, or related field; often certifications like CISSP or GIACBachelor's degree in cybersecurity, information technology, or related; certifications like CompTIA Security+ or CISSP
Work EnvironmentGovernment agencies, defense, intelligence communityCorporate IT departments, security firms, government agencies
Industry UsageIntelligence and defense sectorsCybersecurity and corporate security
Common Search/ComparisonYesYes

Intelligence Analysts focus on gathering and analyzing information related to national security, threats, and intelligence operations. Security Analysts primarily protect organizational IT systems from cyber threats and security breaches. While both roles require analytical skills and relevant certifications, their work environments and industry focus differ significantly.

What exactly do intelligence analysts do?

Intelligence analysts gather, evaluate, and interpret information from various sources to support national security, law enforcement, or military operations. They analyze data, produce reports, and identify threats or patterns using tools like databases and analytical software, often working under tight deadlines and requiring security clearances.

What are Intelligence Analysts?

Intelligence Analysts are professionals who collect, evaluate, and interpret information from various sources to help organizations make informed decisions about security, threats, and operations. They often work for government agencies, military branches, or private companies, analyzing data related to national security, crime, or corporate interests. Their work involves identifying patterns, assessing risks, and preparing reports or briefings to support strategic decision-making. Intelligence Analysts may also use specialized software and collaborate with other experts to provide actionable insights. Their role is critical in preventing threats and ensuring organizational safety.

What Is an Intelligence Analyst?

Intelligence analysts are employed by government or law enforcement agencies, the military, or private organizations to analyze data and other information and to identify and prevent potential threats. Assignments may be daily tasks or long-term projects. As an intelligence analyst, you must be able to decipher information from a variety of sources and analyze it within the context of the source and other related facts. You break down the analysis into assessments and recommendations to leadership departments. Intelligence analysts work in the office and often out in the field.

How much do the CIA pay analysts?

CIA intelligence analysts typically earn between $60,000 and $120,000 annually, depending on experience, education, and rank. Entry-level analysts usually start at the lower end of this range, with salaries increasing with seniority and specialized skills such as language proficiency or technical expertise.

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

To thrive as an Intelligence Analyst, you need strong analytical abilities, critical thinking, and a background in fields such as international relations, political science, or security studies, often supported by a relevant degree and security clearance. Familiarity with intelligence databases, data visualization tools, and analytical software like Palantir or i2 Analyst’s Notebook is typically required. Exceptional attention to detail, discretion, and effective communication skills set outstanding analysts apart. These competencies are vital for accurately assessing information, producing actionable intelligence, and supporting decision-makers in high-stakes environments.
What are the most commonly searched types of Intelligence Analyst jobs in Indiana? The most popular types of Intelligence Analyst jobs in Indiana are:
What cities in Indiana are hiring for Intelligence Analyst jobs? Cities in Indiana with the most Intelligence Analyst job openings:
Infographic showing various Intelligence Analyst job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $78,460 per year, or $37.7 per hour.
Director of Business Intelligence

Director of Business Intelligence

Pacers Sports & Entertainment

Indianapolis, IN

Full-time

Posted 6 days ago


Job description

SUMMARY

The Director of Business Intelligence serves as a strategic leader responsible for transforming data into meaningful insights that drive decision making across all Pacers Sports & Entertainment (PS&E) brands. This role blends strong technical expertise with exceptional business acumen to identify trends, uncover opportunities, and guide revenue-generating and efficiency enhancing initiatives.

The ideal candidate is equally comfortable architecting data models as they are presenting concise, actionable insights to executives. They will oversee the acquisition, governance, and enrichment of data assets, ensuring the organization leverages high quality, connected data to inform marketing, ticketing, partnerships, operations, and overall business performance. A key responsibility of this role is upholding data quality as a foundational priority and building trust in data across the organization.

This leader will proactively analyze complex datasets, distill key takeaways, and anticipate the needs of stakeholders across departments. They will champion a data-driven culture: empowering teams with dashboards, predictive models, and strategic recommendations that improve customer understanding, optimize performance, and maximize ROI.

ESSENTIAL DUTIES / RESPONSIBILITIES

  • Apply advanced data modeling, predictive analytics, and statistical techniques to uncover trends, interpret key findings, and translate insights into initiatives that drive measurable business outcomes.
  • Lead the development and deployment of data-driven solutions across the organization, ensuring insights are actionable and embedded into decision-making processes at all levels.
  • Design, build, and maintain enterprise dashboards and analytical reports that track KPIs, monitor performance, and evaluate the ROI of marketing, sales, partnerships, and operational strategies.
  • Own the organization’s survey strategy, including the design, deployment, and optimization of surveys that capture customer, fan, partner, and prospect sentiment and behaviors.
  • Synthesize data into actionable insights, delivering clear visualizations and storytelling in strategic presentations that support executive decision-making and cross-department alignment.
  • Analyze full-funnel marketing performance and optimize campaign revenue tracking through direct and influenced revenue across email, SMS, social ads and more to evaluate channel effectiveness, guide optimization decisions and audience curation, and enhance budget allocation strategies.
  • Perform market research and competitive analysis to identify macro trends, benchmark performance, and uncover new opportunities for revenue growth and fan engagement.
  • Lead audience research, predictive modeling, segmentation, and persona development to strengthen targeting, personalization, product strategy, and sponsorship storytelling.
  • Oversee, develop, and mentor analysts, fostering a culture of curiosity, analytical rigor, and continuous improvement within the BI team.
  • Champion data quality, acquisition, and governance, ensuring the organization consistently leverages clean, connected, and enriched data assets.
  • Collaborate cross-functionally with marketing, ticketing, partnerships, finance, operations, and product teams to identify analytical needs and maximize business impact.
  • Oversee target audience creation and net new ingestion and predictive modeling for the Retail Media Network as well as track outcomes and opportunity for growth.
  • Perform other duties and lead strategic projects as assigned.

QUALIFICATION REQUIREMENTS

To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and/or EXPERIENCE:

  • Bachelor’s degree required, with strong preference for analytics, statistics, computer science, economics, or a related technical discipline.
  • 8+ years of experience in business intelligence, marketing analytics, sales analytics, or similar analytical role.
  • 5+ years of supervisory or team-lead experience, including coaching and developing analysts.
  • Exceptional communication skills, with the ability to translate complex analytical concepts for audiences of all technical levels.
  • Advanced SQL proficiency, including multi-table joins, subqueries, and performance-optimized querying.
  • Strong grounding in data mining and data engineering principles, including predictive analytics, data mapping, and integrating on-premises and cloud-based data sources.
  • Hands-on experience with statistical modeling techniques, such as GLM, logistic regression, variable selection, and other predictive methods.
  • Experience writing advanced SAS code, including complex models, macros, and automation workflows.
  • Proficiency with Qualtrics and experience integrating survey data into CRM systems to enrich customer profiles.
  • Technical competency with statistical tools (Excel, R, or similar) and data visualization platforms (Tableau, Power BI, or equivalent).
  • Demonstrated experience working collaboratively across diverse business units, such as marketing, sales, partnerships, finance, and operations.
  • Experience in sports or entertainment industries is a plus but not required.

PHYSICAL AND ENVIRONMENTAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job the employee is regularly required to:

  • Sit
  • Stand
  • Walk
  • Speak in public
  • Use telephone
  • Use computer
  • Speak, hear and write

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • The noise level in the office work environment is usually moderate.
  • The noise level in Gainbridge Fieldhouse/game environment is usually loud.
  • The stress level may become high during certain times.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.