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Senior Digital Analytics & Optimisation Consultant

ValtechMadrid, Spain · Posted 4 months ago
Full-timeEst. 55,000 EUR
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Description

Why Valtech? We’re the experience innovation company - a 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 Senior Digital Experience Analytics & Optimisation Consultant, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring minimum 6 to 8 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)

As a Senior Experience Analytics & Optimisation Consultant, you will leverage advanced Web Analytics and Conversion Rate Optimisation experience to study user behaviours, inform strategic decisions and run experiments to optimise digital performance across customer accounts.

In this role you will have daily contact with multiple product teams at a large enterprise business. Largely self-sufficient, you will get your hands busy with various Analytics and Optimisation technologies, and you will collaborate with multi-disciplinary teams to undertake data deliverables and implement a/b tests and personalisations at scale.

You will be part of a large Data practice spanning all European markets, with teams of experts across fields such as data engineering, AI, web analytics, experimentation, data strategy, martech and more.

Role responsibilities

  • Extract and analyse web behavior data from multiple platforms (Adobe Analytics, Adobe Target, GA4, ContentSquare, Qualtrics, Adoreboard, among others).
  • Identify user problems, trends, and anomalies to generate actionable insights and experiment hypotheses.
  • Study how analytics tags / events are implemented in various areas of a website to identify measurement gaps and produce relevant recommendations.
  • Consult with product teams to recommend digital measurement for upcoming product features.
  • Collaborate with cross-functional teams to translate data findings into strategic recommendations.
  • Design dashboards and reports to communicate insights to technical and non-technical stakeholders.
  • Plan and document experiments end-to-end, including: targeted pages & audiences, metrics, design briefs, development briefs, content brief, QA brief, analytics briefs, test duration etc.
  • Work with multi-disciplined teams (designers, developers, QA testers...) on the end-to-end implementation of experiments in Adobe Target.
  • Be an expert in Adobe Target, with knowledge about audiences, pages, KPIs and advanced features (ML recommendations, Automated personalisation, Visitor profile attributes, Profile scripts...)
  • Use Adobe Analytics and ContentSquare to report on experiment performance and provide clear recommendations and learnings.
  • Plan and conduct workshops with stakeholders, for example to ideate solutions to user problems

Must have qualifications

  • 6-8 years in web analytics and or CRO roles
  • Proficiency with Optimisation platforms (Adobe Target, Optimizely, AB tasty, Kameleoon etc)
  • Proficiency with web analytics platforms (Adobe Analytics, GA4, ContentSquare, Hotjar, Qualtrics, Similarweb, Fullstory...)
  • Familiarity with how Tag Management platforms work (Google Tag Manager, Adobe Launch, Tealium...)
  • Hands-on experience designing dashboards (e.g. Looker Studio, Adobe Analytics, PowerBI...)
  • Strong data literacy, ability to communicate compelling stories with data.
  • Analytical rigour and awareness of risk in data interpretation, especially in the context of A/B testing.
  • An interest in working with product teams on shaping remarkable digital experiences
  • Familiarity with agile development and collaborative delivery across distributed teams.
  • Strong problem-solving skills and ability to translate business goals into measurable optimisation activities.
  • Comfortable working in a large, complex international organisation.

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