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Behavioral Data Analyst Jobs in Florida (NOW HIRING)

Peraton

Data Analyst

Tampa, FL · On-site

$86K - $138K/yr

Cloud based analytics - Use cloud platforms to access, manage, and analyze behavioral and operational datasets. * Advanced data transformation - Apply SQL, Python, and R for cleaning, modeling ...

Peraton

Data Analyst

Tampa, FL

$86K - $138K/yr

Cloud based analytics -- Use cloud platforms to access, manage, and analyze behavioral and operational datasets. * Advanced data transformation -- Apply SQL, Python, and R for cleaning, modeling ...

INSPYR Solutions

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Write and optimize SQL to extract, transform, and validate experiment and behavioral data from ...

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Behavioral Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do behavioral data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for behavioral data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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.
What are the most commonly searched types of Behavioral Data Analyst jobs in Florida? The most popular types of Behavioral Data Analyst jobs in Florida are:
What are popular job titles related to Behavioral Data Analyst jobs in Florida? For Behavioral Data Analyst jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Analyst jobs in Florida look for? The top searched job categories for Behavioral Data Analyst jobs in Florida are:
What cities in Florida are hiring for Behavioral Data Analyst jobs? Cities in Florida with the most Behavioral Data Analyst job openings:
Behavioral Data Analyst jobs near you
Infographic showing various Behavioral Data Analyst job openings in Florida as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.
Data Analyst

Data Analyst

Peraton

Tampa, FL • On-site

$86K - $138K/yr

Full-time

Posted 3 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

47th of 230 rated it services

Job description

Responsibilities
This Data Analyst position supports Operations in the Information Environment (OIE) and Psychological Operations (PSYOP) by transforming diverse intelligence and behavioral data into actionable insights for operators and decision makers. It's not a corporate analytics role - it's an operational, mission driven intelligence analytics role.
Core Responsibilities (What You Actually Do)
  • Multisource data aggregation - Combine data from OSINT, SIGINT, HUMINT, CEM, social media, web metrics, surveys, and focus groups into structured datasets.
  • Operational assessments - Support Measures of Effectiveness (MOE), Measures of Performance (MOP), and intermediate objectives tied to operational plans.
  • Cloud based analytics - Use cloud platforms to access, manage, and analyze behavioral and operational datasets.
  • Advanced data transformation - Apply SQL, Python, and R for cleaning, modeling, statistical analysis, and visualization.
  • Database administration - Perform data entry, system updates, troubleshooting, and documentation aligned with Government data standards and Security Implementation Guides.
  • Tagging structures - Implement tagging for Lines of Effort (LOE) and Lines of Persuasion (LOP) to organize and retrieve mission critical data.
  • Observational evidence analysis - Process usage data and observational evidence to support operational assessments.
  • AI enabled workflows - Support AI driven analysis pipelines to enhance speed and accuracy.
  • Data taxonomy compliance - Coordinate with the Fusion Synchronization Center and Data Integration Manager to ensure consistent taxonomy.
  • Dashboard development - Build dashboards and recurring reports that provide actionable insights to operators and decision makers.

This position is contingent on award of contract.
Qualifications
  • Clearance: TS/SCI active
  • Years of Exp/Degree: 5 years with BS/BA, 3 years with MS/MA or 0 years with PhD
  • Technical stack: SQL, Python, R, cloud analytics platforms.
  • Intelligence data familiarity: OSINT, SIGINT, HUMINT, CEM.
  • Data engineering basics: ingestion, cleaning, structuring, tagging, repository maintenance.
  • Assessment frameworks: MOE, MOP, IO/PSYOP operational planning.
  • Visualization & reporting: dashboards, longitudinal datasets, trend analysis.
  • Security & compliance: Government data standards, SIGs, controlled data environments.

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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