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Behavioral Data Analyst Jobs in Indiana (NOW HIRING)

Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis. * Ensure data accuracy and consistency through validation and ...

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over ... Define and Govern Data Measurement Strategy - 25% * Define and evolve behavioral measurement ...

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Behavioral Data Analyst information

See Indiana salary details

$32.4K

$78.6K

$129.4K

How much do behavioral data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for behavioral 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 behavioral data analyst do?

A Behavioral Data Analyst examines user behaviors, patterns, and interactions with products or systems using data analytics. They collect and analyze data from various sources, such as website interactions, app usage, and customer feedback, to understand decision-making processes. Their insights help improve product designs, marketing strategies, and user experiences. By leveraging statistical techniques and machine learning, they provide actionable recommendations to optimize business outcomes.

What does a typical day look like for a behavioral data analyst?

A typical day for a Behavioral Data Analyst involves collecting and cleaning behavioral datasets, performing statistical or predictive analyses, and interpreting patterns related to user or customer actions. You might collaborate closely with product managers, UX designers, marketers, or psychologists to translate analytical findings into business strategies or product improvements. The work often includes preparing reports, dashboards, or presentations to share insights with non-technical stakeholders. Additionally, you’ll frequently participate in team meetings to discuss project goals, methodologies, and how data-driven insights can solve specific organizational challenges.

What are the key skills and qualifications needed to thrive as a behavioral data analyst?

To thrive as a Behavioral Data Analyst, you need a strong analytical background, experience in behavioral science or psychology, and proficiency in statistics, typically supported by a relevant degree. Familiarity with data analysis tools such as R, Python, and SQL, as well as experience with data visualization platforms like Tableau, is highly valued, and certifications in data analytics can be advantageous. Strong communication, critical thinking, and problem-solving skills help you present findings clearly and work effectively with cross-functional teams. Combining technical expertise with interpersonal skills is essential for deriving actionable insights from complex behavioral data and driving informed decision-making.

How to become a behavior data analyst?

To become a behavioral data analyst, you typically need a bachelor's degree in fields like psychology, statistics, or data science. Developing skills in data analysis tools such as SQL, Python, or R, along with understanding behavioral theories, is essential; certifications in data analysis or statistics can also enhance job prospects.

Is behavior analyst a good career?

A behavior analyst is a professional who applies principles of behavior analysis to improve client outcomes, often working in healthcare, education, or clinical settings. The career offers strong job growth, competitive salaries, and requires certification such as the BCBA, along with skills in data collection and analysis. It is considered a rewarding and stable profession for those interested in behavioral science and helping others.

What is the role of a behavioral data analyst?

A behavioral data analyst examines data related to human behaviors and decision-making to identify patterns and insights. They use statistical tools and programming languages like Python or R to analyze large datasets, often working with marketing, user experience, or product teams to inform strategic decisions.

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

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

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

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

Infographic showing various Behavioral Data Analyst job openings in Indiana as of September 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,637 per year, or $37.8 per hour.

Data Analyst

Indianapolis, IN • Hybrid

Full-time

Re-posted 6 days ago


Job description

Interview Type: Webcam only

Work Arrangement: Hybrid

Engagement Type: Contract

Short Description:

Data Analyst role within the Office of Data and Analytics (ODA) Data Visualization & Data Science teams will support the management, analysis, interpretation, and reporting of data for public health insight.

Complete Description:

The Data Analyst will conduct general data analysis, contribute to complex data analysis, complete data quality checks, build visualization and reports, present key findings, and support the work of the Tobacco Prevention and Cessation program (TPC) as well as the Healthcare Associated Infection-Antimicrobial Resistance (HAI-AR) program in partnership with ODA.

Essential Duties/Responsibilities:

Using epidemiologic strategies, interpret and analyze data using statistical techniques and aid in providing ongoing oral and written reports to guide in decision-making.

Perform analyses with survey data via SAS, including the Behavioral Risk Factor Surveillance System (BRFSS) and Youth Tobacco Survey data

Perform analyses with large healthcare datasets, including hospital discharge and long-term care facility data

Possess knowledge of survey data and statistical regression analyses

Ability to perform statistical calculations on datasets, including age-adjusted rates

Ability to create data visualizations in Tableau, including knowledge of basic data preparation, cleaning, merging, and relationship joins

Ability to design research questions related to testing the effectiveness of public health programs or interventions

Ability to create data reports, especially with Infection Control Assessment and Response (ICAR) data, antimicrobial stewardship data, and National Healthcare Safety Network (NHSN) data

Ability to use Microsoft Excel and SAS to support the creation of data reports and visualizations