Note: The job is a remote job and is open to candidates in USA. Trident Consulting is an award-winning staffing and consulting firm supporting technology, analytics, cybersecurity, and other professional services roles for Fortune 500 and high-growth companies. The Adobe Customer Journey Analytics Consultant will own Adobe CJA as a marketing analytics capability, develop attribution and journey measurement frameworks, and partner with marketing teams to deliver actionable insights. The role also focuses on experimentation, self-service enablement, operational excellence, and AI-powered analytics.
Responsibilities
- You own Adobe CJA as a business capability, not a reporting tool. That means designing and continuously evolving the data models, business views, and reporting architecture that give the marketing organization a clear, connected picture of the customer journey. You will build reusable components — dashboards, calculated metrics, attribution models, journey maps — that make it faster for every team in marketing to answer their most important questions. You partner with Marketing Operations and technical teams to ensure CJA data collection is accurate, governed, and trusted. You drive adoption of CJA across the marketing organization and serve as the internal expert on platform capabilities, limitations, and emerging features
- Thirty percent of this role is active partnership — not reactive support. You are embedded as an analytics consultant across Trial, SEO, Content, Paid Media, Web Experience, Lifecycle Marketing, Product Marketing, Marketing Operations, and Sales Operations. For each of these teams, you proactively identify measurement gaps, recommend KPIs that align to their business goals, and bring analysis that shapes how they think and operate. You don't wait for a Jira ticket. You show up to their standups, contribute to their planning cycles, and ensure every major initiative they run is instrumented and measurable before it launches
- The output of your work is not a dashboard — it is a decision. You are expected to translate complex, multi-channel data into executive-ready narratives that clearly communicate what happened, why it happened, and what the business should do next. You connect digital behavior to pipeline outcomes. You surface friction across the customer journey and translate it into a prioritized opportunity list. You frame every insight in terms of business impact, and you are comfortable presenting your analysis directly to marketing leadership
- You own the development of attribution and journey measurement frameworks that help understand how marketing channels work together to drive trial starts, pipeline, and revenue. This includes cross-channel campaign measurement, last-touch versus data-driven attribution modeling, and funnel analysis from first touch through conversion. You identify where measurement is broken, advocate for the fixes, and partner with technical teams to implement them. You help the organization move away from channel-siloed reporting and toward a connected view of how the customer journey actually works
- You partner with Web Experience, Growth, and Product Marketing teams to design and measure experiments — A/B tests, content tests, personalization initiatives, and landing page optimization. You define measurement plans before tests launch, analyze results with statistical rigor, and communicate findings in a way that builds organizational confidence in experimentation as a practice. You maintain a running view of what the data says about where the biggest optimization opportunities exist and bring recommendations proactively
- You own the self-service analytics experience for the marketing organization. That means continuously improving a web analytics portal that makes dashboards easy to discover, consume, and act on. You create reusable templates, playbooks, and guides that reduce the volume of ad hoc requests by empowering teams to answer their own questions. You are always looking for ways to reduce friction between a marketer and the data they need, and you treat enablement as a strategic lever — not overhead
- You host recurring analytics and CJA office hours that give marketers across the organization a reliable space to get help, talk through measurement strategy, and build their data fluency. You treat these sessions as relationship-building opportunities, not just Q&A. You use them to understand the problems teams are running into, identify recurring patterns in what people are struggling to measure, and feed those signals back into how you prioritize your own roadmap
- You are highly responsive. You manage inbound Jira requests with discipline, maintain clear SLAs, communicate proactively when timelines shift, and document your solutions so the team benefits from your work long after the ticket is closed. You are a reliable partner in a fast-moving environment — teams know that when they ask you something, they will hear back. You treat process improvement as part of your job, not a distraction from it
- AI is not a bonus skill for this role — it is a core operating expectation. You use generative AI daily to accelerate analysis, summarize trends, automate repetitive reporting workflows, and surface insights faster than traditional methods allow. You build AI-assisted reporting pipelines that improve team productivity, evaluate emerging capabilities across Adobe and the broader analytics ecosystem, and continuously raise the bar for what fast and good look like on this team. You are a model for how modern analytics professionals work
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. Candidates will be expected to demonstrate this during the interview process
- 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
Benefits
- W2 Contract
- USA - Remote
- Use of generative AI tools daily to accelerate analysis, summarize trends, automate repetitive reporting workflows, and surface insights faster
Company Overview
Company H1B Sponsorship