

CyberX Info System
Adobe Analytics Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Adobe Analytics Lead in Bay Area, CA, offering a 6-month contract to hire. Requires 5–8 years of ecommerce analytics experience, advanced Adobe Analytics skills, strong SQL proficiency, and expertise in debugging and data quality.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
San Francisco Bay Area
-
🧠 - Skills detailed
#Microsoft Power BI #Scala #Data Quality #Documentation #Tealium #Debugging #BI (Business Intelligence) #Data Layers #AI (Artificial Intelligence) #Tableau #SQL (Structured Query Language) #A/B Testing
Role description
Location- Bay Area, CA
Job Type-Long Term Contract
Mode: 6 Months Contract To Hire(Visa Independent candidates only)
Bot/scraper traffic identification and filtering
• AI-driven automated traffic impacting data quality
• Need experience identifying false vs real traffic patterns
• Requires understanding of scraping methodologies
Browser privacy protection debugging
• Safari autofill payment gateway conflicts with Fiserv SDK
• 70% of traffic uses mobile Safari
• Cookie blocking and tracking tag issues from browser updates
Advanced Adobe Analytics skills essential
• Solution design understanding
• Data layer maintenance and clickstream analysis
• A/B testing and conversion rate optimization focus
• Integration with Microsoft Clarity and marketing tools
The Technical Manager, Digital Experience & Analytics is a senior individual contributor (IC) responsible for driving high-impact insights and scalable analytics capabilities across the ecommerce business. This is an Adobe Analytics-first role that bridges the gap between deep-dive behavioral analysis, technical data problem-solving, and analytics product development.
Functioning as a strategic partner to the organization, this person will own complex analyses that identify growth opportunities and improve the customer journey. This role is intentionally more technical than a traditional analyst role, requiring the ability to operate independently across the data supply chain, from debugging front-end implementation to querying raw data feeds, to ensure data-driven decision-making at scale.
Responsibilities:
1. Advanced Analysis & Insight Generation
• Behavioral Deep-Dives: Conduct sophisticated analyses of customer behavior and multi-channel conversion funnels to identify where customers experience friction or drop off.
• Opportunity Identification: Quantify opportunities to improve conversion, engagement, and overall customer lifetime value (LTV) through clickstream and supporting data sources.
• Impact Evaluation: Measure the performance of website changes, UX initiatives, and new feature releases, translating findings into actionable recommendations for executive stakeholders.
• Strategic CRO Support: Act as the primary analytical partner for the Conversion Rate Optimization (CRO) program, providing the data-driven "why" behind test hypotheses and results.
1. Technical Analytics & Data Problem Solving
• Independent Debugging: Proactively identify and resolve data discrepancies across platforms, including tagging issues, bot traffic, and browser/device-specific impacts.
• Validation & QA: Utilize browser developer tools and tag management systems to validate data layers and debug data collection without heavy reliance on engineering.
• Advanced Data Retrieval: Leverage Adobe Data Feeds and SQL to perform complex analysis beyond the limitations of standard reporting interfaces.
• Measurement Gaps: Identify white spaces in current tracking and recommend scalable implementation solutions to capture emerging customer behaviors.
1. Analytics Productization & Reporting
• Scalable Dashboards: Design and maintain automated, cross-source reporting frameworks in Adobe Analysis Workspace and BI tools (e.g., Tableau, Power BI).
• Data Democratization: Standardize KPIs and methodologies to improve the accessibility and usability of analytics for non-technical business owners.
• Methodology Governance: Establish consistent definitions and reporting logic across the ecommerce and marketing teams to ensure a "single source of truth."
1. Cross-functional Partnership & Operations
• Strategic Advisory: Collaborate with Product, UX, and Engineering teams to evaluate the performance of initiatives and define measurement strategies for new features.
• Intake Management: Manage the prioritization of analytics requests, ensuring the team stays focused on the highest-impact business questions.
• Process Improvement: Maintain documentation of workflows and SDRs (Solution Design Reference) to improve overall analytics governance and tool usability.
Experience and Skills You’ll Bring:
· Experience: 5–8+ years in digital analytics, specifically within an ecommerce or product analytics environment.
· Adobe Expertise: Advanced, hands-on mastery of Adobe Analytics (both Workspace analysis and implementation logic).
· Technical Proficiency: Strong SQL skills and experience working with semi-structured data and Adobe Data Feeds.
· Front-End Knowledge: Expertise in debugging analytics via browser network calls and data layers; familiarity with Tag Management Systems (e.g., Ensighten, Tealium, GTM).
· Strategic Communication: Proven ability to translate complex, technical data into a clear narrative for non-technical stakeholders.
Location- Bay Area, CA
Job Type-Long Term Contract
Mode: 6 Months Contract To Hire(Visa Independent candidates only)
Bot/scraper traffic identification and filtering
• AI-driven automated traffic impacting data quality
• Need experience identifying false vs real traffic patterns
• Requires understanding of scraping methodologies
Browser privacy protection debugging
• Safari autofill payment gateway conflicts with Fiserv SDK
• 70% of traffic uses mobile Safari
• Cookie blocking and tracking tag issues from browser updates
Advanced Adobe Analytics skills essential
• Solution design understanding
• Data layer maintenance and clickstream analysis
• A/B testing and conversion rate optimization focus
• Integration with Microsoft Clarity and marketing tools
The Technical Manager, Digital Experience & Analytics is a senior individual contributor (IC) responsible for driving high-impact insights and scalable analytics capabilities across the ecommerce business. This is an Adobe Analytics-first role that bridges the gap between deep-dive behavioral analysis, technical data problem-solving, and analytics product development.
Functioning as a strategic partner to the organization, this person will own complex analyses that identify growth opportunities and improve the customer journey. This role is intentionally more technical than a traditional analyst role, requiring the ability to operate independently across the data supply chain, from debugging front-end implementation to querying raw data feeds, to ensure data-driven decision-making at scale.
Responsibilities:
1. Advanced Analysis & Insight Generation
• Behavioral Deep-Dives: Conduct sophisticated analyses of customer behavior and multi-channel conversion funnels to identify where customers experience friction or drop off.
• Opportunity Identification: Quantify opportunities to improve conversion, engagement, and overall customer lifetime value (LTV) through clickstream and supporting data sources.
• Impact Evaluation: Measure the performance of website changes, UX initiatives, and new feature releases, translating findings into actionable recommendations for executive stakeholders.
• Strategic CRO Support: Act as the primary analytical partner for the Conversion Rate Optimization (CRO) program, providing the data-driven "why" behind test hypotheses and results.
1. Technical Analytics & Data Problem Solving
• Independent Debugging: Proactively identify and resolve data discrepancies across platforms, including tagging issues, bot traffic, and browser/device-specific impacts.
• Validation & QA: Utilize browser developer tools and tag management systems to validate data layers and debug data collection without heavy reliance on engineering.
• Advanced Data Retrieval: Leverage Adobe Data Feeds and SQL to perform complex analysis beyond the limitations of standard reporting interfaces.
• Measurement Gaps: Identify white spaces in current tracking and recommend scalable implementation solutions to capture emerging customer behaviors.
1. Analytics Productization & Reporting
• Scalable Dashboards: Design and maintain automated, cross-source reporting frameworks in Adobe Analysis Workspace and BI tools (e.g., Tableau, Power BI).
• Data Democratization: Standardize KPIs and methodologies to improve the accessibility and usability of analytics for non-technical business owners.
• Methodology Governance: Establish consistent definitions and reporting logic across the ecommerce and marketing teams to ensure a "single source of truth."
1. Cross-functional Partnership & Operations
• Strategic Advisory: Collaborate with Product, UX, and Engineering teams to evaluate the performance of initiatives and define measurement strategies for new features.
• Intake Management: Manage the prioritization of analytics requests, ensuring the team stays focused on the highest-impact business questions.
• Process Improvement: Maintain documentation of workflows and SDRs (Solution Design Reference) to improve overall analytics governance and tool usability.
Experience and Skills You’ll Bring:
· Experience: 5–8+ years in digital analytics, specifically within an ecommerce or product analytics environment.
· Adobe Expertise: Advanced, hands-on mastery of Adobe Analytics (both Workspace analysis and implementation logic).
· Technical Proficiency: Strong SQL skills and experience working with semi-structured data and Adobe Data Feeds.
· Front-End Knowledge: Expertise in debugging analytics via browser network calls and data layers; familiarity with Tag Management Systems (e.g., Ensighten, Tealium, GTM).
· Strategic Communication: Proven ability to translate complex, technical data into a clear narrative for non-technical stakeholders.






