1

Behavioral Data Analyst Jobs in Seattle, WA (NOW HIRING)

Fraud Data Analyst

Seattle, WA · Hybrid

$129K - $145K/yr

... behavioral data; * 2 years of experience with conducting A/B testing and statistical analyses; * 2 years of experience with evaluating machine learning models, including precision/recall, AUC ...

New

... email, etc...) behavior across the end-to-end journey of a telecom customer. * Requirement ... Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc

As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and ... Dive into customer behavioral patterns and recommend the policy change hypothesis * Solve ...

As a Data Analyst, you will be responsible for modeling complex problems, discovering insights and ... Dive into customer behavioral patterns and recommend the policy change hypothesis * Solve ...

Senior Market Data Analyst

Seattle, WA · On-site

$85K - $100K/yr

We are seeking a Market Data Analyst to join our Enterprise Data Technology team. This role focuses ... image, appearance, behavior or expression, whether or not different from that traditionally ...

next page

Showing results 1-20

Behavioral Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do behavioral data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for behavioral data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 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 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.

Is a behavioral data analyst a good career?

A behavioral data analyst is a viable career that involves analyzing human behavior data to inform business decisions. It typically requires skills in statistics, data visualization, and tools like SQL or Python, with opportunities across various industries such as marketing, healthcare, and technology. The role offers growth potential and demand for professionals with strong analytical and communication skills.

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 strategies and improve outcomes.

How to become a behavior 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 data analysis tools like SQL, Python, or R, along with understanding behavioral theories and statistical methods, is essential. Gaining experience through internships or projects and obtaining certifications such as Certified Analytics Professional can enhance job prospects.

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 Seattle, WA? The most popular types of Behavioral Data Analyst jobs in Seattle, WA are:
What are popular job titles related to Behavioral Data Analyst jobs in Seattle, WA? For Behavioral Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Analyst jobs in Seattle, WA look for? The top searched job categories for Behavioral Data Analyst jobs in Seattle, WA are:
Infographic showing various Behavioral Data Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Fraud Data Analyst

Remitly

Seattle, WA • Hybrid

$129K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

Under the supervision of the Director, Analytics, the Fraud Data Analyst will apply advanced data analytics and statistical methodologies to detect fraud risks, evaluate product performance, and drive data-informed strategies that enhance compliance, customer experience, and long-term product integrity. Telecommuting is available up to 3 days per week within the Seattle Metropolitan area, based on manager approval.

You Will:

  • Gather, analyze, manipulate, and process large data sets using statistical software and advanced data analytics technologies to assess fraud risks, balance risk and reward in product development, evaluate product system performance, and enhance operational effectiveness.

  • Design and execute fraud-focused product analytics experiments, leveraging A/B testing, computer science techniques, and product performance analyses to identify fraud patterns and drive product enhancements.

  • Collaborate with Product, Business Leaders, and Compliance teams to implement fraud-related data insights into new product experiences, ensuring compliance and continuously improving customer experience through data-driven recommendations.

  • Leverage findings from fraud analytics to define and execute long-term fraud prevention strategies and product roadmaps across cross-functional product teams, aligning risk management with business objectives.

You Have:

  • Position requires a Master's degree in Data Analytics, Data Engineering, Computer Science, Engineering, or a related field, and 2 years of experience with data analysis, visualization, and reporting.

  • 2 years of experience with analyzing large volumes of structured and unstructured data;

  • 2 years of experience with applying Root Cause Analysis (RCA) to identify and resolve issues in fraud detection, governance, and product workflows;

  • 2 years of experience with analyzing clickstream and behavioral data;

  • 2 years of experience with conducting A/B testing and statistical analyses;

  • 2 years of experience with evaluating machine learning models, including precision/recall, AUC, holdout analysis, and supporting data science teams in monitoring production models;

  • 2 years of experience with building robust data models and transforming raw data into actionable insights;

  • 2 years of experience with designing and managing ETL workflows and data pipelines;

  • 2 years of experience with gathering requirements from stakeholders, managing tasks, and delivering end-to-end fraud analytics solutions to internal customers;

  • 2 years of experience with collaborating cross-functionally with Product, Engineering, and Operations teams;

  • 2 years of experience with translating complex quantitative analyses into actionable recommendations for technical and non-technical stakeholders; and

  • 2 years of experience with utilizing BigQuery, MS SQL Server, MySQL, PostgreSQL, Power BI, Python, and Tableau.

Compensation Details. The starting base salary range for this position is typically $129,709.00 - $145,000.00 per year. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

Our Benefits:

  • Flexible paid time off

  • Health, dental, and vision + 401k plan with company matching

  • Paid parental, medical, military and family care leave

  • Mental Health & Family Forming Benefits

  • Employee Stock Purchase Plan (ESPP)

  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.

Remitly is an E-Verify Employer

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.