Responsible for delivering insight that drives improvements across the full commercial ecosystem spanning customer experience, retailer investment effectiveness, marketing and sales performance, and the broader post-purchase, onboarding and promotional landscape.
Locations (2)
Weybridge, Surrey, United Kingdom
London, England, United Kingdom
Responsibilities
Design, build and maintain a marketing and sales performance dashboard in Looker Studio, underpinned by BigQuery
Define the underlying data model, transform source files and design the reporting layer to support consistent, scalable KPI delivery
Identify and quantify the impact of retailer investment, including uplift in sales and market share during campaign periods
Analyse correlations between campaign activity and commercial performance to determine which marketing levers are most effective
Measure and report on halo effects across products and retailers
Data Analyst responsible for delivering insight across marketing, sales performance, customer experience and digital analytics, building dashboards in Looker Studio backed by Google BigQuery.
Locations (2)
Weybridge, Surrey, United Kingdom
London, England, United Kingdom
Responsibilities
Design, build and maintain marketing and sales performance dashboards in Looker Studio
Define data models and transform source files for scalable KPI delivery
Identify and quantify retailer investment impact
Analyze campaign activity and commercial performance
Measure halo effects across products and retailers
Lead and optimize large-scale digital media acquisition campaigns, manage media budgets and agencies, and collaborate with MarTech and Data Science to drive measurable subscriber growth.
Compensation
The US base salary for this full-time position is $135,100 - $218,500 + bonus + benefits.
Responsibilities
Lead the design, execution, and optimization of large-scale customer acquisition campaigns (search, display, video, programmatic) to maximize ROI and hit aggressive performance goals.
Direct external media agencies and strategic partners, ensuring flawless execution, holding them accountable to performance targets, and guiding them to adopt data-backed optimization tactics.
Act as the primary liaison to the MarTech and Data Science teams, defining requirements, KPIs, and data structures needed to evaluate media efficiency and budget pacing.
Go beyond standard reporting by designing and overseeing rigorous A/B tests, geo-experiments, and incrementality tests to prove causal media impact.
Partner with MarTech on the strategic implementation and QA of tracking mechanisms (GA4, GTM, server-side tagging, UTM taxonomies) to ensure seamless data flow from ad platforms into our data warehouses.
Requirements
Bachelor's degree or equivalent practical experience
Analista de Martech responsável por segmentação, disparo e análise de campanhas no Salesforce Marketing Cloud, além de otimização de processos e colaboração com equipes de comunicação e PMO.
Responsibilities
Realizar segmentações de públicos e disparos de campanhas utilizando Salesforce Marketing Cloud
Acompanhar a execução de campanhas, garantindo qualidade, cumprimento de prazos e consistência das entregas
Elaborar relatórios de performance e acompanhar indicadores de campanhas
Atender às demandas do cliente, compreendendo suas necessidades e objetivos de negócio
Atuar em parceria com a agência responsável pelas peças de comunicação e com o PMO do projeto
Business Analyst bridging business needs, product direction and technical delivery across enterprise digital commerce and martech ecosystems, with a focus on AI-enabled workflows.
Compensation
A monthly salary between €4,800 and €5,200 gross, depending on your experience, seniority and fit with the role.
Responsibilities
Collaborate with Solution Architects and Product Owners to translate business goals into clear requirements, user stories, acceptance criteria, process flows, tech architecture, data flows and integration specifications
Work across commerce, martech and enterprise ecosystems including CMS, Search, PIM/PXM, DAM, ERP, OMS, CDP, CRM, analytics, marketing automation and media platforms
Identify, shape and specify practical AI, automation and workflow orchestration opportunities across content, marketing, commerce and operational processes
Specify AI agents and LLM-based workflows, define tasks, data sources, tools, integrations, guardrails, human-in-the-loop steps and escalation paths
Act as a Business Analyst or proxy Product Owner supporting prioritisation, backlog refinement, sprint planning, UAT, release preparation and stakeholder alignment
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