Seer Interactive is a digital marketing consultancy that harnesses compassion, data, technology, and AI to make a mark on our communities—our coworkers, our clients, our industry, and our neighbors. We relentlessly pursue (and share) the truth, bringing together millions of data points from quantitative and qualitative sources, enhanced by responsible, human-centered AI. Our purpose is to unlock potential across these communities, envisioning a world where doing the right thing is intuitive and informed.
At Seer, we see AI as a catalyst for innovation, collaboration, and creativity. Regardless of your division or discipline, leveraging AI is a core part of how we deliver smarter, faster, and more strategic outcomes for our clients. Our AI Council drives company-wide integration by focusing on education, purposeful implementation, and continuous learning — ensuring that AI is embedded in how we think, operate, and grow.
If you’re ready to uplift others, challenge your ego, commit to the truth, and be better than yesterday—keep reading.
Seer is a remote-first agency and a Certified B-Corp, with team members across the country. If an office environment is more your style, this position can also sit in our HQ office in Philadelphia. We can only consider candidates based in the US who can work continental US-based hours.
You, the Technical Analytics Manager of our dreams, are the person clients and internal teams turn to when the data infrastructure itself needs to be right; not just the dashboard sitting on top of it. You think in data layers, not just metrics. You're as comfortable in a BigQuery console or a server-side GTM container as you are explaining to a client why their conversion counts don't reconcile across platforms. You own the technical backbone of measurement: how data is collected, transformed, governed, and ultimately trusted. This is a hands-on implementation and architecture role. You'll audit and build tracking infrastructure, own data pipelines from raw event to client-ready output, and make sure what gets reported is defensible, accurate, and built to last, not duct-taped together for one deliverable.
Role Highlights
Implementation & Architecture
- Strategize and architect large-scale digital analytics implementations for a portfolio of clients, primarily on platforms like Google Analytics 4 and Adobe Analytics
- Design, deploy, and maintain server-side tagging infrastructure (server-side GTM, first-party data collection, event routing) to improve data quality and resilience against browser/platform restrictions
- Audit new and existing implementations to identify gaps, diagnose technical issues in code or configuration, and recommend the most feasible, durable solution
- Confidently implement analytics and marketing tags through Tag Management Systems and CDPs (Google Tag Manager, Segment, or similar), and meet with developers, IT, and clients to design solutions that fit their technical environment
Data & Reporting
- Build and maintain data transformation workflows that move raw platform exports into clean, modeled, analysis-ready tables in BigQuery
- Build closed-loop measurement systems that connect marketing activity to downstream business outcomes (leads, pipeline, revenue) rather than stopping at platform-native conversions
- Develop and maintain reporting and dashboarding in Looker Studio, (familiarity with PowerBI or Tableau familiarity a plus), translating complex data models into clear, decision-ready views for clients and internal stakeholders
- Build measurement frameworks that move clients beyond sessions and conversions toward metrics that reflect real business outcomes and nonlinear customer journeys
Consent & Data Governance
- Understand and implement consent management platforms and frameworks (e.g., Google/Microsoft Consent Mode v2, OneTrust) to keep tracking compliant with CCPA, GDPR, and other applicable privacy regulations
- Evaluate and audit consent configurations for gaps, misconfigurations, or unintended data flows, and advise clients on remediation
- Write clear technical documentation for team members, clients, and developers covering implementation logic, data flow, and governance decisions
AI-Native Execution
- Use Claude and other AI tools daily to accelerate implementation QA, documentation, data transformation logic, and analysis
- Build automations, workflows, prompts, and AI-assisted processes that improve how technical analytics work gets done
- Treat pipelines, dashboards, and measurement frameworks as products that evolve over time, not one-time deliverables
- Ask the question "How can AI help me build this?", rather than "How do I do this manually?"
- Support experimentation and incrementality work where relevant (test design, holdout methodology, lift analysis) as a contributor to the broader measurement picture, not as a primary specialty
- Challenge, coach, mentor, and provide feedback to peers and associates, helping elevate technical analytics capability across the team
Essential Skills
- You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, and server-side data collection
- You are comfortable working in BigQuery and can read, adapt, and maintain SQL for data transformation logic (dbt experience a plus, not required)
- You have hands-on experience building and maintaining dashboards and reports in Looker Studio
- You understand consent management architecture and privacy regulations affecting tracking (Consent Mode, CCPA, GDPR), and can audit existing configurations for gaps or compliance risk
- You are confident deploying and troubleshooting Tag Management Systems and CDPs (server-side GTM, Segment, or similar), including custom integrations when off-the-shelf connectors don't exist
- You have working familiarity with JavaScript (enough to read and adapt a data layer or GTM custom template), with Node.js or Python experience a plus for building custom connectors when off-the-shelf tools fall short
- You can design and reason about closed-loop measurement, connecting marketing touchpoints to real business outcomes across systems (CRM, CDP, offline conversion imports)
- You work effectively in AI tools, particularly Claude, to accelerate implementation, QA, and documentation as a daily working partner
- You are naturally inclined to automate, improve, and simplify wherever possible, and you build workflows and repeatable systems that amplify impact
- You take ownership of ambiguous technical problems, break them into actionable next steps, and bring solutions rather than just questions
- You have strong organizational and project management capabilities and can manage your own workload and deadlines in a tool like Wrike, managing up when you hit blockers or competing priorities
- You communicate effectively with technical and non-technical stakeholders, including translating data findings into executive-ready narratives
- You have a strong sense of self, which means you can say no, deliver feedback, and confidently present the value you are driving for clients, even when things get challenging
- You have a passion for mentoring teammates and elevating technical analytics capabilities across the team
- Experience with Python, R, Node.js, or dbt for data transformation and custom integration work
- Experience with additional data warehouses or ETL tools (Snowflake, Fivetran, etc.)
- Exposure to experimentation frameworks, incrementality testing, or causal inference
- Experience building automations, AI workflows, or internal tools
- Experience in a consulting or agency environment
30/60/90 Day Goals
First 30 Days — Learn
- Develop a strong understanding of Seer's analytics methodologies, client portfolio, and technical stack
- Complete onboarding, shadow existing implementation work, and start building relationships across analytics, strategy, and client teams
- Begin contributing to implementation audits, QA processes, and data pipeline reviews
- Identify one quick win you can improve right away, such as a broken data flow, a manual process, or a dashboard
60 Days — Build
- Independently manage technical analytics workstreams across multiple client engagements
- Own a client-facing technical deliverable end to end, from data pull/transformation to presentation
- Contribute to server-side tagging or consent configuration work on at least one client account
- Begin contributing AI-assisted workflows or automations that improve how the team works
90 Days — Lead
- Lead technical architecture conversations with clients (implementation, data flow, consent, closed-loop measurement)
- Independently own a data pipeline or transformation layer supporting client reporting
- Have at least one scalable system, dashboard, or tool in production that creates lasting value
- Be a visible contributor to Seer's analytics practice, sharing ideas, improving processes, and raising the technical bar for the team
This might not be the right fit for you if...
- Time-management, context-switching, and juggling multiple projects is quite challenging
- You do not want continued learning and innovation to be an expectation
- Change management is difficult and you struggle with adapting to new tools and processes
Compensation & Benefits
Ready to apply? Ditch the cover letter — we don’t need it. We’d rather see your AI chops. Use our Marketing Career AI Self-Assessment GPT to find out where you land on the AI marketing maturity curve and share your results with us. Our team is excited to read your application responses and will be using them to help determine who we’d like to meet with!
As a B-Corp Certified organization, we are committed to creating an inclusive environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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