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Behavioral Analytics Jobs (NOW HIRING)

Allied Solutions LLC

Digital Analytics Lead

Carmel, IN · On-site

Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals. * Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and ...

Allied Solutions LLC

Digital Analytics Lead

Carmel, IN · On-site

Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals. * Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and ...

Allied Solutions, LLC

Digital Analytics Lead

Carmel, IN · On-site

Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals.* Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and ...

Allied Solutions, LLC

Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals.* Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and ...

University of Rochester

Behavioral Analyst

Rochester, NY

$70K - $90K/yr

The successful faculty member will provide graduate-level teaching and practicum supervision of behavioral analysis students throughout the University of Rochester and the surrounding community. This ...

University of Rochester

Behavioral Analyst

Rochester, NY

$70K - $90K/yr

The successful faculty member will provide graduate-level teaching and practicum supervision of behavioral analysis students throughout the University of Rochester and the surrounding community. This ...

Baylor College of Medicine

Behavioral Analyst

Houston, TX · On-site

$70K - $90K/yr

Behavioral Analyst Division: Pediatrics Work Arrangement: Onsite only Location: Texas Medical Center, Houston, TX Salary Range: $70,618 to $90,000 FLSA Status: Exempt Work Schedule: Monday - Friday ...

Jobtailor

NY · On-site

Facilitate knowledge sharing of analytical insights, methodologies, and successful measurement ... Define and track behavioral metrics including depth of usage, feature breadth, and long-term ...

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Behavioral Analytics information

See salary details

$47.5K

$89.1K

$149K

How much do behavioral analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for behavioral analytics in the United States is $89,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What is behavioral analytics?

Behavioral analytics is the process of collecting and analyzing data about how people interact with websites, apps, or products. It focuses on understanding user behaviors, such as clicks, navigation patterns, and engagement, to help organizations improve user experience and increase conversions. Behavioral analytics is commonly used in marketing, product development, and security to identify trends, optimize processes, and detect anomalies. By studying these patterns, businesses can make more informed decisions and tailor their offerings to better meet customer needs.

What are the key skills and qualifications needed to thrive as a behavioral analytics professional?

To thrive as a Behavioral Analytics professional, you need strong analytical skills, expertise in data analysis, and a solid background in statistics or behavioral science, often supported by a relevant degree. Familiarity with tools like SQL, Python, R, data visualization platforms (e.g., Tableau), and experience with analytics or customer behavior platforms is typically required. Critical thinking, problem-solving, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills are vital for accurately interpreting user behaviors, driving data-informed decisions, and delivering measurable business value.

How does a behavioral analytics professional typically collaborate with cross-functional teams to drive business insights?

Behavioral Analytics professionals frequently work alongside marketing, product, and data science teams to interpret user behaviors and translate data into actionable business strategies. They often participate in regular meetings to share findings, align on goals, and propose experiments or optimizations based on observed patterns. Clear communication is essential, as they must explain complex data trends in ways that non-technical stakeholders can understand, ensuring insights are implemented effectively. This collaborative environment fosters continuous learning and provides opportunities for career growth as you develop both technical and interpersonal skills.

What is the difference between Behavioral Analytics vs Data Analyst?

AspectBehavioral AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; experience with analytics toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentTech companies, marketing firms, e-commerce, financeBusiness, finance, healthcare, marketing departments
Employer & Industry UsageUsed to understand user behavior, improve products, optimize marketingUsed to interpret data, generate reports, support decision-making

Behavioral Analytics focuses on analyzing user behaviors and patterns to inform strategic decisions, often requiring specialized tools and a deep understanding of behavioral data. Data Analysts interpret data sets to generate reports and insights across various industries. While both roles require strong analytical skills, Behavioral Analytics emphasizes understanding behaviors, whereas Data Analysts focus on data interpretation and reporting.

What careers use behavioral analysis?

Careers that use behavioral analysis include roles such as behavioral analysts, data scientists, marketing analysts, user experience researchers, and psychologists. These professionals analyze human behavior to improve products, services, or interventions, often utilizing tools like statistical software and data visualization. Strong analytical skills and knowledge of psychology or data analysis are typically required.

What does a behavioral analyst do?

A behavioral analyst studies and interprets human behaviors to develop strategies that influence or modify actions. They often use data collection, behavioral assessments, and evidence-based techniques such as applied behavior analysis (ABA) to support clients in various settings, including healthcare, education, and organizational environments.

What does a behavioral analytics do?

A behavioral analyst studies and interprets data on how individuals or groups behave to identify patterns and insights. They use tools like data analysis software and statistical methods to inform business strategies, improve user experience, or optimize marketing efforts.

What kind of job can you get with behavioral analysis?

A career in behavioral analysis can lead to roles such as behavioral analyst, data analyst, user experience researcher, or consumer insights specialist. These jobs involve analyzing human behavior data, often using statistical tools and software, to inform decision-making in fields like marketing, healthcare, or technology.
More about Behavioral Analytics jobs

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Cities with the most Behavioral Analytics job openings:

What states have the most Behavioral Analytics jobs?

States with the most job openings for Behavioral Analytics jobs include:

What job categories do people searching Behavioral Analytics jobs look for?

The top searched job categories for Behavioral Analytics jobs are:

What other helpful pages are available for Behavioral Analytics?

Other pages related to Behavioral Analytics:

Behavioral Analytics jobs near you
Infographic showing various Behavioral Analytics job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 77% Full Time, 17% Part Time, and 4% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $89,075 per year, or $42.8 per hour.

Digital Analytics Lead

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees
Learn more about Allied Solutions LLCexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Define, implement, and maintain behavioral measurement frameworks, metrics, and governance standards.

  • Design, implement, and audit analytics instrumentation, including event taxonomies, tagging strategies, and data quality processes.

  • Collaborate with Data Engineering, Data Governance, and Business Intelligence teams to ensure behavioral data is structured, integrated, and usable across enterprise systems.

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Digital Analytics Lead owns and advances the organization's Digital Analytics capability over the long term. This role defines the standards, frameworks, and governance that ensure user behavior is measured and reported consistently, accurately, and at scale across products and platforms.
This role serves as the organization's subject matter expert in digital and behavioral analytics and is responsible for establishing and maturing this capability in close partnership with Data Engineering, Data Governance, and Business Intelligence teams. Serving as a lead-level individual contributor, the Digital Analytics Lead partners closely with UX, Product, Engineering, and Strategic Leadership to translate behavioral data into actionable insight aligned to inform software product decisions and achieve business outcomes.
Job Duties and Responsibilities:
Define and Govern Data Measurement Strategy - 25%
  • Define and evolve behavioral measurement frameworks aligned to product, UX, and business goals.
  • Establish priorities and maturity roadmaps for behavioral and digital analytics across platforms and initiatives.
  • Define and govern behavioral metrics that reflect software utility, usability, user success, and outcomes.
  • Consult with cross-functional teams to recommend appropriate analytics tools, metrics, and reporting approaches, advising on measurement strategies based on efficiency, implementation effort, data availability, and insight value.
  • Evaluate, pilot, and apply analytics tools and platforms to support measurement goals, usability, data quality, and decision impact.
  • Make hands-on recommendations informed by direct use of analytics tools and data, not abstract evaluation alone.
  • Serve as a trusted advisor to UX, Product, Engineering, and Business leadership on behavioral metrics interpretation and appropriate tool usage.
  • Act as the central steward for disciplined, consistent, and decision focused measurement practices.

Digital Analytics Implementation and Data Quality - 25%
  • Directly design, implement, and maintain event taxonomies, tagging strategies, naming conventions, and implementation standards.
  • Partner hands-on with Engineering to implement analytics instrumentation when application code changes are required.
  • Personally configure, test, validate, and audit analytics platforms (e.g., GA4, GTM, behavioral analytics tools).
  • Identify and remediate tracking gaps, data inconsistencies, and implementation issues.
  • Establish and run processes for ongoing behavioral data quality monitoring and validation.
  • Ensure analytics implementations remain scalable, reliable, and production ready over time.

Enterprise Data Integration & Collaboration - 20%
  • Work hands-on with Data Engineering, Data Governance, and Business Intelligence teams to ensure behavioral data is structured, integrated, and usable across enterprise systems.
  • Define and validate behavioral data requirements for ingestion into enterprise data platforms (e.g., data warehouses and BI tools).
  • Contribute directly to event schemas, data models, and patterns that connect behavioral data across platforms, sessions, and journeys.
  • Ensure behavioral analytics implementations align with enterprise data architecture and downstream analytics needs.
  • Serve as an active cross-functional bridge between UX, Product, Engineering, and Data teams.

Data Analysis, Insight, & Reporting - 15%
  • Hands-on analysis of behavioral data to generate actionable insights that inform product, UX, and business decisions.
  • Design, build, and maintain dashboards and performance views that surface meaningful behavioral patterns.
  • Use query based analysis, automation, and AI assisted techniques to explore data, validate metrics, and accelerate insight generation.
  • Execute behavioral segmentation based on intent, journey stage, and interaction patterns.
  • Synthesize and connect insights across products and user journeys to support enterprise level decision making and prioritization.

Documentation, Mentorship & Analytics Enablement - 15%
  • Establish and maintain analytics standards, governance frameworks, and implementation guardrails.
  • Document metric definitions, instrumentation patterns, dashboard logic, and reporting conventions to ensure clarity and consistency.
  • Develop playbooks, templates, and educational materials informed by real implementation and analysis experience.
  • Provide hands-on peer mentorship, coaching, and collaborative working sessions with UX, Product, Engineering, and Analytics partners.
  • Partner directly with teams to ensure reports, dashboards, and metrics are understandable, usable, and decision ready - not just technically correct.
  • Facilitate shared interpretation and sense-making of analytics outputs through working sessions, reviews, and applied guidance.
  • Enable teams to responsibly engage with analytics while maintaining centralized stewardship, data quality, and analytical rigor.
  • Support analytics maturity through education, feedback, and shared learning - without formal people management responsibility.
  • Balance immediate business needs with long-term data integrity, scalability, and sustainability.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's degree in Analytics, Data Science, Human Computer Interaction, Psychology, Information Systems, Business, or a related field, or an equivalent combination of education and practical experience.
  • Master's degree preferred.
  • 5+ years relevant experience in behavioral, digital, or product analytics within complex digital or software environments.
  • Significant experience in behavioral or web analytics supporting decision making across products or platforms.
  • Demonstrated experience owning or leading analytics strategy, measurement frameworks, or implementation standards across multiple products or teams.
  • Handson experience with event based analytics and instrumentation, including defining event models, taxonomies, and data quality practices.
  • Working experience using query languages (e.g., SQL or similar) to explore, validate, and analyze behavioral data across analytics platforms and/or enterprise data stores.
  • Proven ability to analyze behavioral data and translate findings into clear, actionable insights that inform product, UX, and business decisions.
  • Strong understanding of data modeling concepts related to digital analytics (e.g., event schemas, sessionization, dimensional thinking).
  • Experience working with or alongside cloud data warehouse environments (e.g., Snowflake) and understanding how behavioral data is structured for analysis.
  • Experience collaborating with Data Engineering and/or Business Intelligence teams to translate behavioral tracking into usable datasets and reporting.
  • Understanding of data privacy, consent management, and responsible handling of behavioral data in regulated or enterprise environments.
  • Strong communication and collaboration skills, with the ability to explain analytical and technical concepts to cross functional partners.
  • Experience partnering closely with UX, Product, Engineering, and Business stakeholders to align measurement with outcomes.

Preferred Qualifications
  • Experience using automation and AI assisted analysis techniques to support exploratory analysis, pattern detection, anomaly identification, or insight generation, with sound judgment around appropriate and responsible use.
  • Experience working within UX, product, or digital experience organizations.
  • Experience with modern behavioral and web analytics platforms (e.g., Google Analytics 4, Google Tag Manager, Microsoft Clarity, or similar event based tools).
  • Experience designing, building, and stewarding dashboards or reporting frameworks, including metric definitions, documentation, and ongoing maintenance.
  • Familiarity with experimentation, optimization, or iterative measurement approaches.
  • Experience designing or supporting experimentation frameworks (e.g., A/B testing, feature validation, behavioral impact measurement).
  • Experience enabling, coaching, or mentoring others in analytics practices without formal people management responsibility.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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