Analytics Manager

1 month from now
US > Philadelphia
Analytics

Job Description

Role Highlights

Traditional Analytics (the 60%)

  • Strategize and architect large-scale digital analytics implementations for a handful of clients, primarily on platforms like Google Analytics 4 and Adobe Analytics

  • Audit new and existing implementations to identify gaps, find technical issues with code or configuration, and recommend the best feasible solution

  • Build measurement frameworks that move clients beyond sessions and conversions toward metrics that reflect real business outcomes and nonlinear customer journeys

  • Confidently implement analytics and marketing tags through Tag Management Systems, and meet with developers, IT, and clients to design solutions that fit their needs

  • Write clear technical documentation for team members, clients, and developers

** GEO (the 40%)**

  • Partner directly with clients to develop and operationalize GEO measurement strategies across AI-powered search experiences

  • Support Seer's GEO Test & Learn initiatives by defining hypotheses, establishing testing methodologies, identifying success metrics, and evaluating causal relationships between marketing activities and business outcomes

  • Distinguish correlation from incrementality through thoughtful experimental design and analytical rigor

  • Work cross-functionally with SEO, Paid Media, Creative, and Data teams to evaluate how AI-driven experiences influence awareness, behavior, conversion, and loyalty

** AI-Native Across Both**

  • Use Claude and other AI tools to generate analytical outputs, then translate those findings into clear, confident narratives for client and executive audiences

  • Build automations, workflows, prompts, and AI-assisted processes that improve how analytics work gets done

  • Treat dashboards, reports, and measurement frameworks as products that evolve over time, not one-time deliverables

  • Constantly ask "What can I build?" rather than "How do I do this manually?"

  • Challenge, coach, mentor, and provide feedback to peers and associates, helping elevate analytics and AI capabilities across the team

Essential Skills

  • You have advanced analytics implementation expertise involving behavioral tracking, ecommerce measurement, experimentation frameworks, and business outcome measurement

  • You are comfortable discussing incrementality, lift analysis, holdout methodologies, and causal inference concepts

  • You work effectively in AI tools, particularly Claude, to accelerate analysis, structure findings, and produce client-ready outputs as a daily working partner

  • You are naturally inclined to automate, improve, and simplify wherever possible, and you build prompts, workflows, agents, and repeatable systems that amplify impact

  • You take ownership of ambiguous 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 genuine curiosity about emerging AI technologies and how they impact discoverability, customer behavior, and digital measurement

  • 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 analytics capabilities across team

  • Nice to Have: You have experience with Python, R, or data transformation workflows

  • Nice to Have: You have early exposure to GEO, LLM visibility tracking, or AI search measurement

  • Nice to Have: You have experience building automations, AI workflows, agents, or internal tools

  • Nice to Have: You have 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 AI/GEO measurement philosophy

  • Complete onboarding, shadow existing work, and start building relationships across analytics, strategy, and client teams

  • Begin contributing to implementation audits, QA processes, and measurement strategy engagements

  • Identify one quick win you can improve right away, such as a report, process, or visualization

** 60 Days — Build**

  • Independently manage analytics workstreams across multiple client engagements

  • Own a client-facing deliverable end to end, from data pull to presentation

  • Participate in GEO measurement initiatives and experimentation planning sessions, supporting hypothesis creation, KPI selection, and test design

  • Begin contributing AI-assisted workflows or automations that improve how the team works

** 90 Days — Lead**

  • Lead measurement strategy conversations with clients

  • Independently support GEO Test & Learn engagements from planning through analysis, helping clients interpret outcomes and translate them into next steps

  • 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 helping shape what AI-native analytics looks like here

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

  • $78,000 - $98,000 annually. 

  • Evaluation of comp at least once a year

  • Benefit highlights

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