Senior Data Analyst

🕒 il y a 17 jours

🇧🇷 Brésil – Télétravail

⏰ Temps Plein

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Valtech

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 1997

💼 Conseil

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech est un cabinet de conseil mondial en expérience digitale et en transformation, qui se présente comme « The Experience Innovation Company ». Nous aidons les entreprises et grands comptes à concevoir et à construire des expériences client mémorables, à accélérer le commerce omnicanal, à piloter leur transformation digitale et à renforcer la créativité et la performance marketing. Valtech propose également des services de croissance pilotés par la data et l’AI et intervient dans de nombreux secteurs, du B2B au retail et à la mobilité, avec une présence mondiale, des bureaux locaux et des partenariats clients.

Description

• Lead complex reporting, dashboarding, and performance analysis workstreams across multiple business areas, channels, or stakeholder groups • Define measurement and reporting strategies aligned with business questions, KPI frameworks, semantic logic, and dashboard outputs • Own measurement frameworks for assigned accounts, including measurement and tracking plans, solution design references, event taxonomies, and naming conventions • Set technical direction for data collection and tag management, including Google Tag Manager, data layer specifications, and server-side tagging • Define QA and validation standards for tracking work and maintain martech and tag inventories • Define conversion, experimentation, and attribution measurement approaches with CRO, personalization, and media teams • Protect measurement continuity during replatforming and migrations through baselines, parity checks, and post-launch validation • Guide dashboard-ready data modeling, transformation logic, and semantic modeling practices • Establish best practices for KPI design, reporting logic, metric definitions, and analytical documentation • Identify trends, anomalies, performance drivers, and business opportunities through advanced structured-data analysis • Deliver executive-ready insights connecting data to business action • Advise client and internal stakeholders on measurement implications, reporting tradeoffs, and dashboard strategy • Model governance across privacy, consent, data quality, and reporting standards • Collaborate with analytics, CRO, SEO/GEO, engineering, data, and architecture teams • Review and improve analytics deliverables and build reusable templates and QA checklists • Support proposals, scoping, estimation, capability building, and internal thought leadership • Mentor junior and mid-level practitioners and provide quality review • Participate in client workshops, working sessions, and executive presentations • No formal direct people-management responsibility

🎯 Exigences

• 4+ years of experience • Deep working knowledge of digital analytics, measurement strategy, reporting strategy, dashboarding, and performance measurement • Strong ability to define measurement and KPI frameworks, reporting logic, and analytical approaches in complex business environments • Hands-on expertise in tag management and data collection, including Google Tag Manager, data layer design, event taxonomies, and validation workflows • Working knowledge of server-side tagging concepts, first-party data collection, identity and cookie behavior, and related tradeoffs • Understanding of consent management and privacy expectations as they apply to data collection and reporting accuracy • Advanced skill in translating data into clear, actionable, business-relevant narratives • Strong understanding of semantic modeling and metric definitions • Strong analytical judgment and root-cause analysis • Ability to operate independently in ambiguous situations • Strong written and verbal communication skills in English, including executive-level presentation and stakeholder management • Ability to influence without direct authority • Strong attention to detail • Ability to collaborate across distributed teams in the Americas and multiple disciplines • Experience with GA4, Adobe Analytics, Google Tag Manager, Adobe Experience Platform Tags, Tealium, Segment, consent management platforms, Looker, Power BI, Tableau, Looker Studio, SQL, BigQuery, Snowflake, Excel, Google Sheets, Optimizely, Adobe Target, Dynamic Yield, Google Ads, Meta, Conversion APIs, and Search Console • Agile methodologies and consulting experience are a plus • Preferred, not required: relevant analytics, tag management, Adobe, BI, SQL, privacy, optimization, or experimentation certifications

🏖️ Avantages

• Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts • Competitive compensation package