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Behavioral Data Analyst Jobs (NOW HIRING)

Data Analyst V

Boise, ID · Remote

$130K/yr

Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points ...

Analyze caller behavior data from IVR applications using SQL and Microsoft Excel * Design and develop custom Tableau reports to visualize caller behavior data, identify trends and areas for ...

This position is responsible for integrating, analyzing, and visualizing customer engagement, transaction, and behavioral data to support data-driven decision-making, optimize marketing performance ...

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... behaviors * Participate in various company initiatives and projects as requested Skills and ...

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... behalf of Rogers Behavioral Health. To link to the Machine-Readable Files, please visit ...

New

PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ... behaviors * Participate in various company initiatives and projects as requested Skills and ...

AI Business Data Analyst Reports To: CX AI Product Owner Division: CX & UX Design Division ... Conduct exploratory analysis to understand user behavior, customer intent, conversation topics ...

PR · On-site

$45K - $55K/yr

Position Summary As a Data Analyst , you'll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

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

Strong analytical skills Skills Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas ...

Strong analytical skills Skills Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas ...

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Behavioral Data Analyst information

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$34K

$82.6K

$136K

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.
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What cities are hiring for Behavioral Data Analyst jobs? Cities with the most Behavioral Data Analyst job openings:
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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.

Data Analyst V

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Posted 15 days ago


Job description

Data Analyst V
Location: USA Remote
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
  • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.