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Digital Insight Analyst Jobs in California (NOW HIRING)

Vans

Vans: Manager, Digital Insights

Costa Mesa, CA · On-site

$95K/yr

Define and lead the digital analytics roadmap, evolving tools, capabilities, and frameworks to ... Insight generation & storytelling: Exceptional ability to translate complex data into clear ...

Vans

Vans: Manager, Digital Insights

Costa Mesa, CA · Hybrid

$96K/yr

Define and lead the digital analytics roadmap, evolving tools, capabilities, and frameworks to ... Insight generation & storytelling: Exceptional ability to translate complex data into clear ...

Adobe, Inc.

Digital Employee Experience Analyst

San Jose, CA · On-site

$115K - $136K/yr

Experience Analytics & Insights * Analyze performance, stability, sentiment, and behavior patterns ... Passion for user empathy and understanding digital behaviors. * Supported organizations with 15k ...

Adobe

Digital Employee Experience Analyst

San Jose, CA

$115K - $136K/yr

Experience Analytics & Insights * Analyze performance, stability, sentiment, and behavior patterns ... Passion for user empathy and understanding digital behaviors. * Supported organizations with 15k ...

Adobe

Digital Employee Experience Analyst

San Jose, CA

$115K - $136K/yr

Experience Analytics & Insights * Analyze performance, stability, sentiment, and behavior patterns ... Passion for user empathy and understanding digital behaviors. * Supported organizations with 15k ...

Danaher

Digital Analyst Internships

Arcata, CA

$106K - $126K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you'll work alongside a ...

Danaher

Digital Analyst Internships

Pomona, CA

$100K - $118K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you'll work alongside a ...

Danaher

Digital Analyst Internships

Los Angeles, CA

$106K - $125K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you'll work alongside a ...

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All JobsDigital Insight Analyst JobsDigital Insight Analyst Jobs in California

Digital Insight Analyst information

See California salary details

$41.5K

$104.6K

$116.9K

How much do digital insight analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for digital insight analyst in California is $104,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $115,000.00 per year, depending on experience, location, and employer.

What are some common challenges Digital Insight Analysts face when working with cross-functional teams?

Digital Insight Analysts often collaborate with marketing, product, and technical teams, and a key challenge is translating complex data findings into actionable recommendations that non-technical stakeholders can easily understand. Balancing the priorities and timelines of various departments while ensuring data accuracy and consistency can also be demanding. Building strong communication skills and fostering collaborative relationships are essential for effectively delivering impactful insights in a fast-paced, data-driven environment.

What is the difference between Digital Insight Analyst vs Data Analyst?

AspectDigital Insight AnalystData Analyst
Primary FocusDigital marketing data, online user behavior, digital campaignsGeneral data analysis across various departments and data types
Skills & CertificationsDigital analytics tools (Google Analytics), marketing metrics, SQLData analysis tools (Excel, SQL), statistical knowledge
Work EnvironmentMarketing teams, digital agencies, e-commerce companiesBusiness intelligence, finance, healthcare, and other industries

The Digital Insight Analyst specializes in analyzing digital marketing data and online user behavior, often working closely with marketing teams. In contrast, a Data Analyst has a broader scope, working with various data types across multiple departments. Both roles require analytical skills and familiarity with data tools, but Digital Insight Analysts focus more on digital marketing metrics and tools like Google Analytics.

What are Digital Insight Analysts?

Digital Insight Analysts are professionals who analyze data from digital platforms, such as websites, social media, and mobile apps, to help organizations understand user behavior and digital performance. They use tools like Google Analytics, Adobe Analytics, or similar platforms to track key metrics, identify trends, and generate actionable insights. Their work helps businesses optimize their online presence, improve customer experiences, and make data-driven decisions. Digital Insight Analysts often collaborate with marketing, product, and IT teams to implement changes based on their findings.

What are the key skills and qualifications needed to thrive as a Digital Insight Analyst, and why are they important?

To thrive as a Digital Insight Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in statistics or marketing, often supported by a relevant degree. Familiarity with tools like Google Analytics, Tableau, SQL, and data visualization platforms, as well as certifications such as Google Analytics Individual Qualification (GAIQ), is typically required. Strong communication, problem-solving, and attention to detail are crucial soft skills for presenting insights effectively and collaborating with stakeholders. These skills ensure accurate data-driven decision-making and enable organizations to optimize digital strategies and achieve business goals.
What are popular job titles related to Digital Insight Analyst jobs in California? For Digital Insight Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Digital Insight Analyst jobs in California look for? The top searched job categories for Digital Insight Analyst jobs in California are:
Digital Insight Analyst jobs near you
Infographic showing various Digital Insight Analyst job openings in California as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $104,563 per year, or $50.3 per hour.
Associate Director, Digital Insights & Analytics

Associate Director, Digital Insights & Analytics

e.l.f. Beauty

Los Angeles, CA • On-site, Remote

Full-time

Posted 15 days ago

Job description

About the Company
 
e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time.
 
In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.
 
Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us

Position Summary:
 
e.l.f. Beauty is looking for a digital insights rockstar to join our dynamic, fast-paced, high-growth company. The ideal candidate will have a strong background in data analytics, digital marketing, and ecommerce performance, with a consumer first mindset. This person is highly self-motivated, curious, and strategic yet detail-oriented, with a passion for analyzing data, surfacing insights, and storytelling with data to drive business decisions. This person also has the technical skills associated with querying large data sets and extracting and synthesizing data and insights from disparate data sources and analytics tools. The position will report directly to the Assistant Vice President, Market & Business Insights.
 
The Associate Director, Digital Insights & Analytics will build rigorous measurement frameworks and deeply analyze the digital consumer by institutionalizing standardized journey, behavior, and campaign performance models that optimize our online experience and drive conversions. The role will drive predictive analytics to propose high-impact audience targeting strategies for segmentation and personalization—including propensity modeling, next-best-action, and lifetime value frameworks—to enhance acquisition, retention, and conversion outcomes. This role will be responsible for the aggregating and sharing of digital learnings across brands across paid, owned, and CRM channels, and will translate complex analyses into concise, visually compelling executive-ready decks, dashboards, and story-driven narratives that clearly articulate the “so what,” escalate recommended actions with owners and timelines, and enforce cross-functional accountability through a continuous test–learn–scale cadence that reduces friction, improves incrementality, and aligns teams to north-star metrics for sustainable, profitable growth. The position requires strong partnerships and excellent communication with E-commerce, CRM, IMC, Creative, and Technology business leaders and cross-functional partners, as well as external vendors.
 
This position can be based in any of our e.l.f. offices (NYC, Oakland, CA or LA) within the US.
Responsibilities:
  • Build end-to-end measurement frameworks for digital journeys and behavior across channels, defining stage KPIs, event instrumentation, and north-star metrics to pinpoint friction and drive conversion.
  • Aggregate and share cross-brand digital learnings via standardized playbooks, taxonomies, and reporting cadences; align stakeholders on common KPIs and data quality for scalable, data-driven decisions.
  • Deliver marketing mix modeling and attribution within a disciplined framework—set inputs and governance, validate incrementality, and integrate outputs into planning to optimize budgets and channel performance.
  • Drive the integration, operationalization, and scaling of AI platforms and capabilities across the market & business analytics stack—including adoption of machine learning and generative AI for digital consumer segmentation, experimentation, and insight automation to accelerate decision-making and business impact.
  • Support measurement and optimization of A/B and multivariate tests to improve website and mobile experiences, increase conversion rates, and reduce drop-off across key funnel stages
  • Lead predictive analytics initiatives and build advanced audience strategies (e.g., lookalikes, churn risk segments, product affinities, propensity) to power targeted media, onsite personalization, and lifecycle communications.
  • Create executive-caliber visual storytelling artifacts—decks, dashboards, and one-page syntheses—that crystallize digital insights, quantify impact, and escalate actions to drive cross-functional accountability.
  • Analyze performance against north-star KPIs aligned to broader business goals (conversion, retention, LTV, CAC:LTV), providing actionable insights and variance explanations.
  • Manage external analytics partners and tools, ensuring deliverables align to business priorities and performance targets; assess competitive landscape and data/analytics advancements to inform best practices and innovation opportunities.
  • Partner with technology teams to improve instrumentation, data quality, and integration of tools, methods, and processes that support scalable, reproducible analytics.
Requirements:
  • 8+ years of experience with relevant web/mobile analytics reporting and analysis. 8+ years of experience as a Marketing Data Analyst or similar role, with a focus on ecommerce and digital marketing analytics.
  • Bachelor’s degree (or MBA) in Business Analytics, Data Analytics, Marketing, Mathematics, Statistics, or related quantitative field
  • Outstanding analytical, critical thinking, and organizational skills with high attention to detail. Ability to focus on both strategy and execution.
  • Deep understanding of marketing metrics, attribution models, and campaign performance measurement, with the ability to provide strategic recommendations.
  • Experience in developing/maintaining analytics dashboards and developing/maintaining reporting tools for self-serve reporting.
  • Passionate about customer-centricity and data-driven strategy, with the ability to effectively communicate and influence key stakeholders.
  • Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations.
  • Excellent written and verbal communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse stakeholders.
  • Experience in defining metrics and KPIs, visualizing and presenting results, and tying insights back into business strategies and goals.
  • Advanced SQL experience
  • Expertise with web analytics tools, including Google Analytics (GA4 a plus), ContentSquare, Dynamic Yield, Similarweb, Semrush etc.
  • Experience with CRM management tools, customer data platforms (Hightouch, etc.)
  • Experience with data visualization tools (Tableau, Power BI, etc.)
  • Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook)
  • Curious, inquisitive, proactive, and interested in digging for insights in data, as well as learning new tools and techniques.
  • A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact.
  • Ability to work effectively in a fast-paced, team environment.
  • Proficiency with more advanced statistical modeling techniques is a bonus (e.g. clustering, classification, segmentation, multiple regression, etc.).
The base salary range for this role is listed above. 
 
Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.
 
Compensation components are subject to change at the company’s discretion
 
This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.
 
e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.