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Behavioral Data Analyst Jobs in Arkansas (NOW HIRING)

Jobtailor

Principal Data Analyst

Bentonville, AR · On-site

$90 - $140/hr

Strong business acumen with curiosity about Members, merchandising, and consumer behavior ... Data Analysis * Statistics * Qualitative Research * Quantitative Research * Research Design

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Behavioral Data Analyst information

See Arkansas salary details

$28.1K

$68.3K

$112.5K

How much do behavioral data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for behavioral data analyst in Arkansas is $68,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $80,200.00 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 Arkansas?

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

What are popular job titles related to Behavioral Data Analyst jobs in Arkansas?

For Behavioral Data Analyst jobs in Arkansas, the most frequently searched job titles are:

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

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

Behavioral Data Analyst jobs near you
Infographic showing various Behavioral Data Analyst job openings in Arkansas as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $68,335 per year, or $32.9 per hour.

Principal Data Analyst

Jobtailor

Bentonville, AR • On-site

$90 - $140/hr

Other

Posted 4 days ago

Job description

  • Lead Consumer Research Partner with merchants and product developers to define business questions and research objectives
  • Select the most appropriate qualitative and quantitative methodologies to answer complex business challenges
  • Independently design, program, execute, analyze, and report consumer research studies
  • Ensure research quality through strong research design, questionnaire development, sampling, and statistical rigor
  • Apply Advanced Consumer Research Methodologies
  • Independently analyze and interpret statistical outputs and translate findings into actionable business recommendations
  • Build compelling, executive-ready stories that simplify complex research into strategic recommendations
  • Present findings to merchants, product developers, and senior leadership
  • Leverage AI and emerging technologies to improve research quality, efficiency, and speed-to-insight
  • Champion the voice of the Member across the product development lifecycle
Requirements
  • Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field
  • Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field
  • Option 3: 6 years' experience in data analysis, data science, statistics, or related field
  • Strong business acumen with curiosity about Members, merchandising, and consumer behavior
  • Experience leading end-to-end consumer insights or market research
  • Expertise in qualitative and quantitative research with the ability to apply the right methodology
  • Ability to synthesize data into strategic business recommendations
  • Exceptional communication, executive presentation, and stakeholder management skills
  • Experience influencing without authority and managing multiple priorities
  • Proficiency with AI tools, Excel, PowerPoint, and consumer research platforms
Core Competencies

Demonstrates expertise in consumer research methodologies, data analysis, and statistical interpretation to drive strategic business recommendations. Proficient in leveraging AI tools and consumer research platforms to enhance research quality and efficiency.

Highest-signal resume keywords
  • Consumer Research Methodologies
  • Data Analysis
  • Statistical Interpretation
  • Executive Presentation Skills
  • AI Tools Proficiency
ATS Optimization Keywords Hard Skills
  • Data Analysis
  • Statistics
  • Qualitative Research
  • Quantitative Research
  • Research Design
  • Questionnaire Development
  • Sampling Techniques
  • Statistical Rigor
  • Market Research
  • Consumer Insights
Soft Skills
  • Exceptional Communication
  • Stakeholder Management
  • Influencing Without Authority
  • Curiosity About Members
  • Managing Multiple Priorities
Industry Keywords
  • Business Acumen
  • Consumer Behavior
  • Product Development Lifecycle
  • Strategic Recommendations
Tools & Technologies
  • AI Tools
  • Excel
  • PowerPoint
  • Consumer Research Platforms
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