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Behavioral Data Analyst Jobs in Indiana (NOW HIRING)

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... member behavior patterns, and optimization opportunities. Apply advanced statistical analysis ... Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution.

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... member behavior patterns, and optimization opportunities. Apply advanced statistical analysis ... Identify data quality issues, troubleshoot discrepancies, and drive cross-functional resolution.

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral ...

Marketing Data Analyst

Munster, IN · On-site

$62K - $72K/yr

Analyze customer data and behavior to identify opportunities for segmentation, cross-selling, upselling, and enhanced customer profitability. * Test campaign logic, segmentation, content, and design ...

This role involves implementing individualized Applied Behavior Analysis (ABA) treatment plans to ... data, and reinforce positive behaviors using evidence-based strategies. They maintain clear ...

... behavioral analysis, including but not limited to methods for gathering and summarizing behavioral data and implementation of strategies. * Perform direct observations of individuals for behavioral ...

This role involves implementing individualized Applied Behavior Analysis (ABA) treatment plans to ... data, and reinforce positive behaviors using evidence-based strategies. They maintain clear ...

Digital Analyst Internships

South Bend, IN

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Evansville, IN

$93K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Fort Wayne, IN

$90K - $107K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Gary, IN

$98K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Hammond, IN

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Terre Haute, IN

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Supporting usability testing and interpreting user behavior data to recommend experience ...

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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 Jun 12, 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 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.

Is AI replacing data analysts?

AI is transforming the role of behavioral data analysts by automating routine data processing and analysis tasks, but it does not fully replace the need for human interpretation, critical thinking, and domain expertise. Data analysts are increasingly using AI tools and machine learning models to enhance insights, making their skills in data storytelling and strategic decision-making more valuable. The demand for analysts with skills in data visualization, programming, and AI integration remains strong in the job market.

What does a behavioral data analyst do?

A behavioral data analyst examines data related to human behaviors and interactions to identify patterns, trends, and insights. They use statistical tools and programming languages like SQL or Python to analyze large datasets, often supporting decision-making in marketing, user experience, or product development.

What are the key skills and qualifications needed to thrive in the Behavioral Data Analyst position, and why are they important?

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.

Is 40 too late for data science?

A Behavioral Data Analyst can start a career in data science at age 40, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Success depends on dedication, relevant training, and building a strong portfolio, regardless of age.

How to become a behavioral data analyst?

To become a behavioral data analyst, you typically need a bachelor's degree in psychology, statistics, data science, or a related field. Developing skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or R is essential; obtaining certifications like Certified Analytics Professional (CAP) can also enhance your qualifications.

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 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 are popular job titles related to Behavioral Data Analyst jobs in Indiana? For Behavioral Data Analyst jobs in Indiana, the most frequently searched job titles 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:
Senior Data Analyst

Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Posted 9 days ago


Interra Credit Union rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

WHAT YOU WILL DO EVERYDAY

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s datadriven culture.

You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning highercomplexity initiatives and serving as an escalation point for technical issues.

Direct Reports: None

HOW YOU WILL MAKE AN IMPACT

40%            Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.

 

20%            Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.

 

15%            Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution. Serve as steward of “single source of truth” practices across the enterprise.

 

15%         Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossdepartment teams.

 

10%            Guide and mentor data analysts and datacurious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.

— Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.

WHAT YOU WILL NEED TO SUCCEED

Experience

5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.

Education / Certifications / Licenses

This level of knowledge is normally acquired through completion of a Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver’s license.

 

PREFERRED SKILLS

-  Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.

-  Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.

-  Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.

-  Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.

-  Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.

-  Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.

-  Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.

-  Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.

-  Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.

-  Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.

-  Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.

-  Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.

-  Ability to mentor analysts and foster a culture of data curiosity and continuous learning.

-  Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.

-  Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.

INTERPERSONAL SKILLS

·        Strong interpersonal skills—willingness to engage with team members across the organization.

·        Interest in making a tangible impact at a mission-driven, community-focused financial institution.

·        Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.

·        Ability to influence decision-making through data-driven insights and thoughtful recommendations.

·        Represent the credit union in a professional and positive way, both internally and externally at all times.

COMPETENCIES

Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.

Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.

Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.

Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.

Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.

ADA REQUIREMENTS

Physical Requirements

-  Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.

-  Must be capable of climbing / descending stairs in an emergency situation.

-  Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.

-  Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.

-  Must be able to work extended hours or travel off site whenever required or requested by management.

-  Must be capable of regular, reliable, and timely attendance.

 

Working Conditions

-  Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.

Mental and/or Emotional Requirements

·        Must be able to perform job functions independently and work effectively either on own or as part of a team.

·        Must be able to plan and direct the work activities of self and others.

·        Must be able to read and carry out various written instructions and follow oral instructions.

·        Must be able to speak clearly and deliver information in a logical and understandable sequence.

·        Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.

·        Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.

·        Must be able to effectively handle multiple, simultaneous, and changing priorities.

·        Must be capable of exercising highest level of discretion on both internal and external confidential matters.