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Behavioral Data Analyst Jobs in Oregon (NOW HIRING)

Data Analyst

OR · Remote

Connect survey response data with behavioral analytics behavioral datasets. * Insight Generation : Analyze open-text feedback using text analytics to uncover user pain points. * Service Design ...

New

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive ...

OR

$85K - $108K/yr

... behavior and pricing. This team delivers data products and research that help the world's top ... This role is different from a typical Data Analyst seat. While you'll ramp onto existing products ...

$87K - $116K/yr

Strong analytical skills with the ability to interpret trends in utilization, engagement, or behavioral data and translate findings into clear insights and recommendations * Experience producing ...

... ethical behavior. This position is part of the team supporting the Army HQDA G-4 ELISS program ... Conduct research and analysis to evaluate enterprise data, business processes, system performance ...

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

As a Principal Data Analyst, Growth Marketing at Upstart, you will serve as the lead analytics ... Effectively use analytics to understand user behavior, funnel performance, and the impact of growth ...

Translate complex behavioral data into clear, actionable insights for diverse stakeholders ... Experience with analytics solutions for custom digital products (e.g., event-based tracking ...

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Showing results 1-20

Behavioral Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do behavioral data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for behavioral data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 Oregon? The most popular types of Behavioral Data Analyst jobs in Oregon are:
What are popular job titles related to Behavioral Data Analyst jobs in Oregon? For Behavioral Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Analyst jobs in Oregon look for? The top searched job categories for Behavioral Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Behavioral Data Analyst jobs? Cities in Oregon with the most Behavioral Data Analyst job openings:
Infographic showing various Behavioral Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that's our company's purpose - and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is searching for a Data Analyst to join a team partnering with the Centers for Medicare and Medicaid Services (CMS). The successful candidate will bring their experience in data analysis to improve business insights, solve a variety of problems, and identify areas where additional data gathering and analysis would be helpful. Specific tasks include leveraging quantitative and qualitative data to construct information dashboards, integrating and analyzing data, building and using reports to answer questions, and creating and using tags to identify and group data elements. Our team is collaborative, dynamic, and ever-evolving. We are looking for someone who is a competent analyst no matter the tools or tech stack. Proficiency with ETL work is also required.

As part of the Quality Payment Program Human-Centered Design Performance team, you will drive data-informed decisions by managing digital analytics, user feedback mechanisms, and system performance monitoring. The person in this role will ensure accurate tracking, build actionable dashboards, and thrive within an Agile product development environment.

This role will primarily be composed of ad hoc analysis rather than building straightforward dashboards. We are looking for someone curious, self-sufficient, and comfortable solving complex problems with little to no guidance. If you delight in finding solutions to problems where information and context may be lacking or sparse, this role is for you.

Responsibilities

Web Analytics & Tagging

  • Implement Tracking: Design and deploy robust data layer specifications across digital properties.
  • Tag Management: Manage container setups, triggers, and variables using tag management systems. Organize and manage analytics tagging:
    • Address known gaps in our current tagging process
    • Improve our overall tagging process by implementing custom tags as needed
  • Adobe Analytics: Build custom eVars (Custom Insight Conversion Variables), props, events, and complex segmentation models.
  • Data Quality: Conduct regular audits to detect and fix broken tags or data leakage.

User Feedback & Experience Analytics

  • Qualtrics VoC: Design, deploy, and maintain Voice of Customer (VoC) feedback intercepts.
  • Survey Integration: Connect survey response data with behavioral analytics behavioral datasets.
  • Insight Generation: Analyze open-text feedback using text analytics to uncover user pain points.
  • Service Design Support: Provide research and analytics insights that help QPP HCD team identify user needs, pain points, and improvement opportunities.

System Performance Monitoring

  • Datadog Observability: Configure dashboards to monitor application performance metrics and error rates.
  • Correlate Data: Link technical performance drops (e.g., slow load times) to user conversion impacts.
  • Alerting: Set up real-time anomaly detection alerts to proactively identify tracking failures.
  • Perform regular site analysis, including data analysis on page views or data downloads.

LLM-based Product Performance Monitoring

  • User Data Analysis: Perform continuous tagging and analysis of user data to determine product performance against key established metrics and trends in user behavior.
  • Process Automation: Develop scripts and test other automation approaches to make the performance data analysis process more efficient and scalable.
  • Trend and Insight Reporting: Synthesize and communicate user behavioral trends and metric performance to the product team and stakeholders to inform product direction and decision-making.

Reporting

  • Create complex dashboards and analysis from scratch based on ad hoc user requests and needs
    • This responsibility includes integrating multiple qualitative data sources such as: ServiceNow helpdesk tickets, survey results from Qualtrics, Datadog heatmaps, and email distribution sign ups.
  • Extract, transform, and load data from various sources for reporting and/or dashboarding purposes.
  • Identify opportunities to leverage data to solve programmatic needs and problems for the team.
  • KPI Development: Help team define meaningful KPIs and indicators to measure product and service performance.
  • Mixed-Methods Analysis: Combine surveys, interviews, help desk tickets, and web analytics to answer questions and identify actionable insights.

Technical Skills

  • Adobe Analytics: Advanced workspace creation, report suite configuration, and tool administration.
  • Tagging: Deep expertise in Tag Management Systems (e.g., Adobe Launch/Tags, Google Tag Manager).
  • Qualtrics: Experience with Site Intercepts, target logic, and reporting dashboards.
  • Datadog: Proficient in building APM dashboards, log management, and synthetics.
  • Languages: Solid understanding of JavaScript, HTML, and CSS selectors for tagging validation and JavaScript and SQL for data analysis and automation.
  • Data Science: Strong understanding of statistical methods and approaches to sample, analyze, and interpret large datasets with a mixture of structured and unstructured data.

We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the team's needs and strengths, the unique strengths and interests of the selected candidate, and an evolving understanding of the delivery environment.

Basic qualifications
  • A Masters Degree is required for this position
  • A minimum of 5 years of relevant analytics experience (dashboarding, reporting, and data analysis) is required for this position
  • Ability to weigh the pros and cons of a particular set of analytics tools and confidently select the best solution for the problem
  • Solution-oriented mindset and proactive approach to solving complex problems
  • Experience working with large quantities of data and answering complex analytics questions using at least one of the following tools: R, Python, SQL, and/or Excel
  • Demonstrated extract, transform, load (ETL) experience
  • Experience working with both semi-structured and unstructured data and with data manipulation and cleaning
  • Hands-on experience with analytics tagging and website analysis
  • Hands-on experience with Adobe Analytics or a similar web analytics/business intelligence analytics platform
  • Ability to apply strong analysis practices across a wide variety of reporting, dashboarding, and analytics platforms
  • Ability to work independently on high complexity tasks
  • Experience working on an Agile team and demonstrating an Agile mindset
  • Have lived and worked in the United States for 3 out of the last 5 years
Additional desired qualifications
  • Experience with statistical analysis and R, Python, SAS, or a similar language
  • Additional holistic experience with data, including data architecture, data modeling, and standardization
  • Experience with SQL (complex joins, window functions, common table expressions)
  • Experience with Excel (especially with pivot tables and vlookups)
  • Familiarity with the US Web Design System
  • Agile Mindset: Experience working in Scrum or Kanban frameworks (Jira/Confluence).
  • Data Storytelling: Ability to translate complex data into simple, actionable business recommendations.
  • Detail-Oriented: Strong focus on QA testing and data governance
  • Experience working with government agencies

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We're eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

As a small and growing government contractor, our open roles are tied to the contracts we support and the funding available. We aim to offer compensation that's competitive and fair, reflecting the scope of the role, your experience, and the market.

The salary for this position is $132,464.

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say "We build better by putting people first".

All Sixers Enjoy:

  • Self-managed work/life balance and flexibility
  • Competitive salary
  • Employee Stock Ownership (ESOP) for all employees!
  • 401K matching
  • Medical, dental, and vision insurance
  • Employer paid short and long term disability insurance
  • Employer paid life insurance
  • Self-managed and generous paid time off
  • Paid federal holidays and two floating holidays
  • Paid parental leave
  • Self-managed professional development spending
  • Self-managed wellness days

Hiring practices

Agile Six is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor protected by applicable federal, state or local laws.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

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