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Behavioral Data Analyst Jobs (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 cross-functional resolution.

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Experience analyzing user behavior, adoption, product usage, SaaS usage, or platform consumption data. * Ability to interpret data and create clear business narratives for leadership and operational ...

Data Analyst Location: Atlanta, GA - Onsite Contract job Data Analyst - Job Requirements Core ... Soft Skills & Behavioural Traits * Strong communication skills to translate business needs into ...

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... Behavioral and engagement analytics • Marketing mix modeling (MMM) and media investment ... data strategy, marketing analytics, healthcare analytics, consulting analytics, or related ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Analyze campaign performance, customer behavior, and business trends to generate actionable ...

Partner with marketing and business stakeholders to support analysis related to customer behavior ... Ensure data presented to stakeholders is consistent, reliable, and aligned with business ...

The Data Analyst is responsible for developing and delivering high-quality analytical insights that ... Analyze campaign performance, customer behavior, and business trends to generate actionable ...

Understand Worldgate's mission, values, and behaviors (The Worldgate Way) and ensure that daily ... Data Analysis & Reporting Database Administration Problem Solving Strategic Thinking Effective ...

Data Analyst

Philadelphia, PA · On-site

$75K - $80K/yr

... values and behaviors. • Comply with criminal background check standards by maintaining a clear record throughout employment. Key Competencies: • Data Analysis & Reporting • Database ...

Data Analyst

Santa Barbara, CA · On-site

$80K - $90K/yr

Partner with marketing and business stakeholders to support analysis related to customer behavior ... Ensure data presented to stakeholders is consistent, reliable, and aligned with business ...

Data Analyst

Aberdeen Proving Ground, MD · On-site

$80K - $125K/yr

Collaborate with team members to design data dashboards or reporting tools that enhance visibility into test outcomes and system behavior trends. * Debug, improve, and extend data analysis tools to ...

New

Data Analyst

Mechanic Falls, ME · On-site

$27 - $32/hr

Responsibilities: • Analyze transaction and operational data to detect unusual patterns, emerging fraud risks, and suspicious behavior. • Develop reports, dashboards, and recurring analyses that ...

Actionable behavioral insights - Run deep-dive analysis on user behavior and simulation logs to ... Technical data integrity - Maintain rigorous data hygiene by auditing the flow of training ...

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Behavioral Data Analyst information

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$82.6K

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How much do behavioral data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for behavioral data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

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.

What does a behavioral analyst do?

A behavioral analyst studies and interprets data on human behavior to identify patterns and develop strategies for behavior change. They often work with data collection tools, statistical software, and behavioral theories to inform interventions, typically in clinical, educational, or organizational settings.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a behavioral data analyst, as the role values skills such as statistical analysis, data visualization, and proficiency with tools like SQL and Python. Many professionals transition into data analysis later in their careers, and relevant certifications or training can help demonstrate competence regardless of age.

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.

Is a data analyst a high paid job?

Data analysts, including those specializing in behavioral data, typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but experienced analysts with skills in tools like SQL, Python, or Tableau can command higher pay, making it a financially rewarding career for many professionals.

What do behavioral data analysts do?

Behavioral data analysts examine and interpret data related to human behaviors, preferences, and decision-making to identify patterns and insights. They use statistical tools and programming languages like SQL, Python, or R to analyze large datasets, often working with marketing, product development, or user experience teams to inform strategic decisions.
More about Behavioral Data Analyst jobs
What cities are hiring for Behavioral Data Analyst jobs? Cities with the most Behavioral Data Analyst job openings:
What are the most commonly searched types of Behavioral Data Analyst jobs? The most popular types of Behavioral Data Analyst jobs are:
What states have the most Behavioral Data Analyst jobs? States with the most job openings for Behavioral Data Analyst jobs include:
What job categories do people searching Behavioral Data Analyst jobs look for? The top searched job categories for Behavioral Data Analyst jobs are:
Infographic showing various Behavioral Data Analyst job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst

Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Posted 18 hours 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 data-driven culture.
You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models-owning higher-complexity 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 cross-functional 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 cross-department teams.
10% Guide and mentor data analysts and data-curious 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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