Note: The job is a remote job and is open to candidates in USA. Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. The Senior Digital Analytics – Customer Journey Analytics role will own Adobe Customer Journey Analytics, develop measurement frameworks linking customer behavior to revenue, and advise marketing stakeholders. The role will translate digital journey signals into actionable business recommendations and executive-ready insights.
Responsibilities
- You will own Adobe Customer Journey Analytics as a business platform, design the measurement frameworks that connect customer behavior to revenue, and serve as a trusted advisor to some of the most important growth functions in marketing — Trial, SEO, Paid Media, Content, Web Experience, Product Marketing, Lifecycle/Performance, and Marketing Operations
- You will translate behavioral signals across the digital journey into decisions that leadership can act on
- You are not someone who waits to be asked
- You proactively surface what's breaking, what's working, and what the business should do next
- You communicate with confidence, write with clarity, and bring a point of view — not just a visualization
- This role sits within the Digital Intelligence and Insights function and reports directly to the Director of Digital Intelligence and Insights
Skills
- • Adobe CJA proficiency: Hands-on experience designing, building, and maintaining reporting within Adobe Customer Journey Analytics, including data view architecture, cross-channel stitching, and B2B-specific journey modeling
- • You understand how to structure data views, build attribution models, and create dashboards that business stakeholders can actually use
- • Adobe Analytics foundation: Strong working knowledge of Adobe Analytics including Analysis Workspace, calculated metrics, segment building, and fallout and flow visualizations
- • You know where AA ends and CJA begins, and you can work fluidly across both
- • Business partnership: Demonstrated ability to work as a trusted advisor — not just an analyst
- • You are comfortable in stakeholder meetings, confident in your recommendations, and skilled at building trust across teams that have different priorities and different relationships with data
- • Insights and storytelling: You take large, complex datasets and produce clear, executive-ready narratives with a point of view
- • You frame everything in terms of business impact
- • You bring a recommendation, not just a number
- • Attribution and journey measurement: Familiarity with multi-touch attribution approaches, funnel modeling, and cross-channel measurement
- • You understand the limitations of common attribution models and can have a nuanced conversation about tradeoffs
- • AI fluency: You use generative AI tools — Claude, ChatGPT, Gemini, Copilot, and others — every day
- • You have built AI-assisted workflows that meaningfully accelerate your work, and you are actively curious about what the next capability unlocks. This is non-negotiable
- • Experimentation: Working knowledge of A/B testing methodology, statistical significance, and how to structure measurement plans for web and campaign experiments
- • Data governance and tagging: Familiarity with tagging governance, UTM taxonomy, data layer standards, and the fundamentals of data quality management
- • Remote-first communication: You are experienced in Slack-based, remote-first environments
- • You are responsive, proactive about flagging blockers, and don't need to be chased for updates
- • Ownership and self-sufficiency: You drive projects from ideation to completion with minimal oversight
- • You communicate proactively, manage competing priorities effectively, and treat ambiguity as an environment to operate in — not a reason to wait
- • Education: Bachelor's degree in Marketing, Mathematics, Statistics, Business, or a related field, or equivalent practical experience
- • Experience: 5 to 9 years of experience in digital analytics, marketing analytics, or a closely related function, ideally within a high-growth B2B SaaS or enterprise technology environment
- • Familiarity with Adobe Experience Platform, Adobe Journey Optimizer, or Adobe Target
- • Experience with behavioral analytics platforms such as Content Square, Quantum Metric, Full Story, or Amplitude
- • Background building or contributing to attribution models, MQL frameworks, or pipeline reporting infrastructure
- • Experience in cybersecurity, enterprise SaaS, or other complex B2B environments with long, multi-touch buying cycles
- • Comfort using tools like Python, SQL, or Jupyter notebooks for advanced analysis or data transformation
- • Track record of building analytics enablement programs — office hours, training, documentation, self-service portals
Benefits
- United States (Remote)
- W2 Contract
Company Overview
Company H1B Sponsorship