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Behavioral Data Analyst Jobs in California (NOW HIRING)

SKIMS

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los ... preferences, behaviors, and trends. * Design and execute experiments, including A/B tests, to ...

2K

Staff Data Analyst

Novato, CA · On-site

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ... behaviour * Ability to lead the delivery of complex projects, manage changing priorities and coach ...

2K

Staff Data Analyst

Novato, CA · On-site

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science ... behaviour * Ability to lead the delivery of complex projects, manage changing priorities and coach ...

DCS CORPORATION

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$70K - $90K/yr

Design data analysis processes to assess the performance of various systems and system concepts ... Participate in pre- and post-test briefings and advise on system troubleshooting and behavior.

ALO

Senior Data Analyst

Beverly Hills, CA

$140K - $160K/yr

You'll generate actionable insights by analyzing business opportunities and customer engagement/behavior, and influence decision-making through compelling data storytelling. You'll bring these ...

DCS Corp

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$70K - $90K/yr

Design data analysis processes to assess the performance of various systems and system concepts ... Participate in pre- and post-test briefings and advise on system troubleshooting and behavior.

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

You'll generate actionable insights by analyzing business opportunities and customer engagement/behavior, and influence decision-making through compelling data storytelling. You'll bring these ...

Zipline

Senior Data Analyst

South San Francisco, CA · On-site

$140K - $180K/yr

Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth ... Partner with Data Science, Product, and business teams to improve data quality, reporting ...

Walmart

(USA) Principal, Data Analyst

Cupertino, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

Milpitas, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

San Jose, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

Fremont, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

Mountain View, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

San Mateo, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

Walmart

(USA) Principal, Data Analyst

Sunnyvale, CA · On-site

$117K - $234K/yr

Strong product judgment and the ability to connect customer behavior with business impact ... Option 3: 6 years' experience in data analysis, data science, statistics, or related field.

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All JobsBehavioral Data Analyst JobsBehavioral Data Analyst Jobs in California

Behavioral Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do behavioral data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for behavioral data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

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 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.

How to become a behavior data analyst?

To become a behavioral data analyst, you typically need a bachelor's degree in fields like psychology, statistics, or data science. Developing skills in data analysis tools such as SQL, Python, or R, along with understanding behavioral theories, is essential; certifications in data analysis or statistics can also enhance job prospects.

Is behavior analyst a good career?

A behavior analyst is a professional who applies principles of behavior analysis to improve client outcomes, often working in healthcare, education, or clinical settings. The career offers strong job growth, competitive salaries, and requires certification such as the BCBA, along with skills in data collection and analysis. It is considered a rewarding and stable profession for those interested in behavioral science and helping others.

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 strategic decisions.

What are the most commonly searched types of Behavioral Data Analyst jobs in California?

The most popular types of Behavioral Data Analyst jobs in California are:

What are popular job titles related to Behavioral Data Analyst jobs in California?

For Behavioral Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Behavioral Data Analyst jobs in California look for?

The top searched job categories for Behavioral Data Analyst jobs in California are:

What cities in California are hiring for Behavioral Data Analyst jobs?

Cities in California with the most Behavioral Data Analyst job openings:

Behavioral Data Analyst jobs near you
Infographic showing various Behavioral Data Analyst job openings in California as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Data Analyst

SKIMS

Los Angeles, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Skims rating

7.5

Company rating: 7.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Senior Data Analyst
Department: Data, Insights and Loyalty
Employment Type: Full Time
Location: Los Angeles HQ
Compensation: $130,000 - $150,000 / year
Description
SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
Key Responsibilities
  • Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
  • Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities.
  • Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
  • Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
  • Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
  • Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
  • Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
  • Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
  • Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
  • Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team's capabilities.

Skills, Knowledge and Expertise
  • Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
  • A natural communicator and business partner. You don't just produce analysis, you influence decisions. You're comfortable presenting to leadership and translating technical findings into clear business narratives.
  • Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
  • A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.

Requirements:
  • Bachelor's degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.

Experience must include:
  • Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
  • Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
  • Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
  • Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.

Benefits, Culture and Perks
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO
  • Full Access to LinkedIn learning
  • Employee Discounts

Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways
  • Annual Holiday Party
  • Annual Summer Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

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