Business Intelligence & Performance
Own the data model, KPI framework and reporting for multi-site data centre delivery, building dashboards and actionable performance insights across capacity, schedule, cost, quality and time to market.
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.
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
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
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 whatβs 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
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
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
Own the data model, KPI framework and reporting for multi-site data centre delivery, building dashboards and actionable performance insights across capacity, schedule, cost, quality and time to market.
Analyze payments data, build performance reporting, and identify opportunities to improve payment routing, reduce failures and costs, and inform decisions across Product, Finance, and Operations.
As a Business Intelligence Developer, you will lead the adoption of advanced BI tools, manage end-to-end processes, and collaborate with cross-functional teams to drive data-driven decisions.
Analiza datos para descubrir tendencias, crear dashboards y presentar insights que ayuden a equipos multidisciplinarios a resolver retos de negocio y tomar decisiones basadas en datos.
Desenvolve e mantΓ©m dashboards e KPIs, automatiza validaΓ§Γ΅es e rotinas de anΓ‘lise, integra dados de sistemas externos e apoia diferentes Γ‘reas com foco na qualidade e integridade das informaΓ§Γ΅es.