Why Valtech? We’re the experience innovation company - trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The role
As a Data Analyst Sr, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
- Lead complex reporting, dashboarding, and performance analysis workstreams across multiple business areas, channels, or stakeholder groups.
- Define measurement and reporting strategies that align business questions, KPI frameworks, semantic logic, and dashboard outputs.
- Own the measurement framework for assigned accounts, including measurement and tracking plans, solution design references, event taxonomies, and naming conventions.
- Set the technical direction for data collection and tag management, including Google Tag Manager, data layer specifications with engineering, and server side tagging where it improves data quality, performance, or privacy posture.
- Define QA and validation standards for tracking work, maintain a martech and tag inventory per account, and recommend remediation when gaps or defects are found.
- Define conversion, experimentation, and attribution measurement approaches in partnership with CRO, personalization, and media teams.
- Protect measurement continuity during replatforming and migrations through pre migration baselines, parity checks, and post launch validation.
- Own and guide dashboard ready data modeling, lightweight transformation logic, and semantic modeling practices needed to support scalable and consistent analytics outputs.
- Establish and reinforce best practices for KPI design, reporting logic, metric definitions, and analytical documentation.
- Identify trends, anomalies, performance drivers, and business opportunities through advanced analysis of structured data, and deliver executive ready insights that connect data to business action.
- Serve as a senior advisor to client and internal stakeholders on measurement implications, reporting tradeoffs, and dashboard strategy, and act as the escalation point when reported numbers are questioned.
- Model strong governance discipline across privacy, consent, data quality, and reporting standards, confirming the interpretation of regulatory obligations with the relevant client or Valtech owner.
- Collaborate with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, Data Engineers, and Architects to align measurement and reporting solutions with business needs and technical realities.
- Review and improve existing analytics deliverables, and build reusable assets such as measurement framework templates, tracking plan templates, and QA checklists.
- Support proposal work, scoping and estimation, capability building, and internal thought leadership where analytical expertise is needed.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- 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 the tradeoffs involved in each.
- 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 for diverse stakeholder groups.
- Strong understanding of semantic modeling and how metric definitions drive consistency and trust across reports and dashboards.
- Strong analytical judgment, including the ability to identify root causes, business drivers, risks, and opportunities.
- Ability to operate independently in ambiguous situations and bring structure to loosely defined analytics needs.
- Strong written and verbal communication skills in English, including executive level presentation and stakeholder management capability.
- Ability to influence without direct authority and elevate the quality of delivery across teams.
- Strong attention to detail while balancing speed, practicality, and business usefulness.
- Ability to collaborate effectively across distributed teams in the Americas and across multiple disciplines.
AI Fluency / AI Assisted Analytics Expectations
Expected to be an active adopter of approved AI enabled analytics and productivity tools that improve the speed, clarity, and quality of reporting, insight generation, documentation, and stakeholder communication. Uses AI assisted workflows to help explore patterns, summarize findings, draft analysis narratives, validate assumptions, improve metric documentation, and accelerate repeatable reporting tasks while maintaining human accountability for analytical judgment, data accuracy, business interpretation, and final recommendations.
Understands that AI generated analysis, summaries, or recommendations must be checked against source data, metric definitions, business context, and governance expectations before being shared or used for decision making. Demonstrates curiosity and practical enthusiasm for how AI can improve analytics quality, productivity, and decision support without replacing disciplined analysis or stakeholder reasoning.
Applies the same discipline to measurement work: AI assisted drafts of tracking plans, tag configurations, or QA scripts are reviewed against the data layer, the measurement framework, and privacy expectations before implementation.
At this level, AI fluency means senior judgment and standards influence within the role family. Expected to shape stronger AI assisted methods, reusable patterns, quality expectations, review practices, and stakeholder guidance while preserving human accountability, governance, and role family rigor.
Tools / Platforms
Analytics & Reporting
- Google Analytics 4 (GA4)
- Adobe Analytics
- Other digital analytics platforms as needed
Tag Management & Data Collection
- Google Tag Manager, web and server side
- Adobe Experience Platform Tags, previously Launch
- Tealium iQ and other enterprise tag managers as relevant
- Customer data and event routing tools such as Segment, where present in the client stack
- Data layer patterns and specifications, including ecommerce event models
- Debugging and QA tooling such as GTM Preview, Tag Assistant, GA4 DebugView, browser developer tools, and network inspection
Consent & Privacy Tooling
- Consent management platforms such as OneTrust, Didomi, Cookiebot, or the platform in use at the client
- Consent Mode and regional consent configuration within the analytics and advertising stack
Visualization & BI
- Looker
- Power BI
- Tableau
- Looker Studio
Data & Querying
- SQL
- BigQuery
- Snowflake
- Excel
- Google Sheets
Optimization / Experience / CDP Ecosystem
- Optimizely
- Adobe Target
- Dynamic Yield
- CDP and optimization tools as relevant to the client environment
Media & Marketing Measurement Integrations
- Google Ads, Meta, and other paid media platforms as they connect to analytics and conversion measurement
- Conversion APIs, offline conversion imports, and enhanced conversion patterns where applicable
- Search Console and other channel level data sources supporting SEO and GEO workstreams
Certifications
Preferred, not required
- Google Analytics certification or equivalent GA4 learning path
- Google Tag Manager training or equivalent applied tag management experience
- Adobe Analytics platform training, and Adobe Experience Platform Tags training where relevant
- Tealium or other enterprise tag management certification where relevant
- Looker, Tableau, or Power BI certification
- SQL certification or equivalent applied coursework
- Privacy or consent management training, for example OneTrust or an equivalent privacy foundation course
- Additional analytics, optimization, or experimentation platform training as relevant
Collaboration / Stakeholder Expectations
- Acts as a senior analytics advisor to both internal and client stakeholders.
- Leads analytical conversations that connect measurement, reporting, business context, and decision making.
- Partners with adjacent AIO, DSAI, and DEPA practitioners to shape scalable analytics approaches and resolve complex reporting questions.
- Works with engineering, CMS, and platform teams to secure the data layer and collection requirements that reporting depends on.
- Coordinates with client marketing, legal, and privacy owners on consent and data collection decisions, and confirms authoritative positions with the relevant owner rather than assuming them.
- Participates actively in client facing settings, including workshops, working sessions, and executive presentations where analytics guidance is needed.
- Helps raise standards across the team by mentoring others, improving documentation, and sharing best practices.
People Management Expectations
- No formal direct people management responsibility.
- Expected to mentor junior and mid level practitioners and provide quality review on major deliverables, including measurement plans and tracking implementations.
- May lead workstreams, guide staffing on analytics tasks, and shape how delivery is executed across a team.
- Serves as a senior practitioner and role model for analytical quality, measurement rigor, stakeholder engagement, and structured problem solving.
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
Beyond a competitive compensation package, we offer:
- 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
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
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