1

Behavioral Data Analyst Jobs in Raleigh, NC (NOW HIRING)

This role sits at the intersection of AI, analytics, data science, and business strategy ... Prior experience in EV Charging, consumer behavior, technical quality analytics. What Success Looks ...

This role sits at the intersection of AI, analytics, data science, and business strategy ... Prior experience in EV Charging, consumer behavior, technical quality analytics. What Success Looks ...

This role sits at the intersection of AI, analytics, data science, and business strategy ... Prior experience in EV Charging, consumer behavior, technical quality analytics. What Success Looks ...

BEHAVIOR TECHNICIAN

Raleigh, NC · On-site

$19 - $23/hr

... Analyst (BCBA). * Tracking client progress by collecting behavioral data during sessions to help supervisors make changes to care plans. * Teaching clients communication skills, how to play with ...

BEHAVIOR TECHNICIAN

Raleigh, NC · On-site

$19 - $23/hr

... Analyst (BCBA). * Tracking client progress by collecting behavioral data during sessions to help supervisors make changes to care plans. * Teaching clients communication skills, how to play with ...

... behavioral data during sessions • Communicate progress and concerns with supervising BCBA and ... Analyst Certification Board (BACB) • Completion of at least 40 hours of training as defined ...

... behavioral data during sessions • Communicate progress and concerns with supervising BCBA and ... Analyst Certification Board (BACB) • Completion of at least 40 hours of training as defined ...

... behavioral data during sessions • Communicate progress and concerns with supervising BCBA and ... Analyst Certification Board (BACB) • Completion of at least 40 hours of training as defined ...

... behavioral data during sessions • Communicate progress and concerns with supervising BCBA and ... Analyst Certification Board (BACB) • Completion of at least 40 hours of training as defined ...

... behavioral data during sessions • Communicate progress and concerns with supervising BCBA and ... Analyst Certification Board (BACB) • Completion of at least 40 hours of training as defined ...

next page

Showing results 1-20

Behavioral Data Analyst information

See Raleigh, NC salary details

$33K

$80.3K

$132.2K

How much do behavioral data analyst jobs pay per year?

As of Jun 16, 2026, the average yearly pay for behavioral data analyst in Raleigh, NC is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC? The most popular types of Behavioral Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Behavioral Data Analyst jobs in Raleigh, NC? For Behavioral Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Behavioral Data Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 24% Full Time, and 76% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.