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Behavioral Data Analyst Full Time Jobs (NOW HIRING)

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa. * Interpret data, clean and analyze results using statistical techniques and provide ongoing ...

TecTammina

Data Analyst(Full Time)

Redmond, WA · On-site

Should be able to make sense of data and analyze the information. Should be able to make best judgement of the data and present the outcome of that analysis. Exposure to sentiment analysis ...

H R PUNDITS INC

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 ...

PTP

Data Analyst - REMOTE

Austin, TX · On-site +1

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 ...

Scale Inc

Data Analyst

Burbank, CA · Remote

... raw behavioral data, email/SMS performance, and long-term brand loyalty. What You'll Do 1. ... Deep-Dive Analytics: Ingest, clean, and analyze complex datasets from our CRM and loyalty platforms ...

New

Safer Foundation

Data Analyst

Chicago, IL · On-site

Reporting to the AVP of Behavioral Health Services, this full-time position will support ... The Data Analyst will support program leadership, clinical staff, behavioral health navigators, and ...

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Behavioral Data Analyst Full Time information

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How much do behavioral data analyst full time jobs pay per year?

As of Sep 4, 2026, the average yearly pay for behavioral data analyst full time 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 is a behavioral data analyst?

A Behavioral Data Analyst is a professional who examines and interprets data related to human behaviors, often using statistical and analytical tools. They work to uncover patterns, trends, and insights from data collected through user interactions, surveys, experiments, or observational methods. Their findings help organizations make data-driven decisions about product design, marketing strategies, customer experience, and other business areas. Behavioral Data Analysts often possess skills in data science, psychology, and statistics to translate complex behavioral data into actionable recommendations.

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 background in statistics, psychology, and data analysis, often supported by a relevant degree in behavioral science or data analytics. Familiarity with analytical tools such as Python, R, SQL, and data visualization platforms like Tableau, as well as experience with survey platforms and A/B testing, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills set top performers apart in this role. These competencies are crucial for accurately interpreting behavioral data, delivering actionable insights, and clearly communicating findings to stakeholders.

What are some common challenges faced by behavioral data analysts when interpreting complex datasets, and how can they be addressed?

Behavioral Data Analysts often encounter challenges such as dealing with incomplete or noisy data, distinguishing causation from correlation, and ensuring that interpretations are not biased by preconceived notions. To address these issues, analysts employ rigorous data cleaning procedures, use robust statistical methods, and collaborate closely with subject matter experts to validate findings. Additionally, clear documentation and transparent reporting practices help ensure that insights are both accurate and actionable, supporting effective decision-making within multidisciplinary teams.
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Behavioral Data Analyst Full Time jobs near you
Infographic showing various Behavioral Data Analyst Full Time job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst (fulltime)

Jose Merciline

New York, NY • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

Location can be remote. As long as the candidate is available to work during EST business hours and willing to travel to NYC on need basis. (Post Covid)

Prefer someone close to or willing to NYC or NYC suburbs - Not must.

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa.

  1. Interpret data, clean and analyze results using statistical techniques and provide ongoing reports
  2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  3. Acquire data from primary or secondary data sources and maintain databases/data systems
  4. Identify, analyze, and interpret trends or patterns in complex data sets
  5. Visualize datasets using Tableau, PowerBI or Looker
  6. Adept in doing qualitative and Quantitative research.
  7. Building automated dashboards in PowerBI, Tableau etc
  8. Database migration and setup.

Requirements

  1. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  2. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  3. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  4. Adept at queries, report writing and presenting findings
  5. Proficient in Python and statistical and analytical tools like R
  6. Experience with automation tools for reports automation with ETL tools
  7. Data mining and querying
  8. Experience maintaining complex data sets and as well data migration and creating new datasets

Experience with data visualization tools as well as leveraging Python for creating data visualizations and automating dashboards.

Apply