分析经理

The Role: You, the Analytics Manager of our dreams, are the connective tissue between business strategy, customer behavior, experimentation, and measurement. You understand that modern analytics goes far beyond implementation. It requires helping clients navigate increasingly fragmented, AI-influenced customer journeys while building measurement strategies that drive confident decision-making.

This is an Account Manager role at Seer. You are a client-facing practitioner who owns relationships, drives strategy, and delivers results. You are equally comfortable discussing data layers and tag governance as you are facilitating conversations around KPIs, GEO test design, incrementality, and business outcomes.

The work splits roughly 60% traditional analytics and 40% GEO. On the analytics side you will architect measurement solutions, audit and QA implementations, and build frameworks that tie data to business outcomes. On the GEO side you will help clients measure visibility and performance across AI-powered search experiences, design and evaluate Test & Learn programs, and translate emerging signals into strategy. GEO measurement is a young discipline and we are building this capability together. What matters is your curiosity and analytical instincts, not existing GEO credentials.

Across both, you are AI-native. You use AI daily as a working partner, and you build systems, not just deliverables.

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!

Have questions about recruitment at Seer? Check out our Custom GPT: Guide to Talent Acquisition at Seer to drop in your questions! You can ask it anything about our hiring process, and how to best prepare for an interview with us.

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.

Not ready to apply but want to keep in touch? Stay connected via our monthly Career Update newsletter! We'll share curated content on Seer, open roles, industry insights, career advice, events you don't want to miss, and more (so you never miss a beat).

#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Highlights
Traditional Analytics (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 (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

• Present findings, recommendations, experimentation outcomes, and strategic insights directly to client stakeholders and executive audiences

Essential Skills

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

• You have experience aggregating data and building dashboards in LookerStudio, PowerBI, and Tableau

• You bring a sense of true curiosity to analytics work that drives you to not just report on what happened, but to dig into the why and what’s next

• 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 can collaborate with a team, including contractors, to achieve the client's goals

Bonus

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

• You have experience building automations, AI workflows, agents, or internal tools

• You have experience in a consulting or agency environment

30/60/90

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 role 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