Mid-term Web Analyst →

Wise Pirates; Portugal; Híbrido; EUR 42 000 - 66 000; Tempo integral

Resumo da oferta

Inner Data, a collaborative analytics practice, seeks a Web Analyst to optimise client websites and e-commerce solutions. We treat measurement as a discipline rather than a reporting task: you cannot improve what you cannot measure.

You will grow into the wider practice around you: GA4 tagging, server-side measurement, and incrementality testing. Solid analytics craft and curiosity are essential.

Qualificações

• 2–3 years of experience in Martech, digital or web analytics.
• Degree in Business Studies, Management, Mathematics, Statistics, Media Management or Digital Marketing.
• Proficiency in GA4 and GTM with data validation and visualization.
• Experience with Looker Studio and Power BI for dashboards.
• Understanding of funnel, conversion optimization and A/B testing.

Responsabilidades

• Measurement Design: Define events, parameters and a measurement plan aligned to business questions.
• Implementation: Deploy and validate GA4 and GTM, including server-side setups.
• Data Quality & Consent: Ensure compliant data collection and documentation.
• Metric Definition: Define metrics with owners and targets.
• Conversion & Funnel Analysis: Analyze journeys and prioritise recommendations.
• Experimentation: Design and interpret A/B tests with proper statistics.
• Attribution & Triangulation: Compare sources and explain discrepancies.
• Reporting & Visualisation: Build Looker Studio/Power BI dashboards that answer questions.
• Client Consulting: Translate data into business insights for clients and teams.
• Data Accessibility: Improve transparency for rapid client adaptations.
• Team Contribution: Share methodologies to improve analytics practice.

Conhecimentos

Martech analytics

GA4/GTM

Data viz

Business translation

Formação académica

Bachelor's degree in Marketing/Analytics

Ferramentas

Looker Studio

Power BI

Google Tag Manager

Descrição da oferta de emprego

Inner Data is a collaborative area, with many people sharing their methodologies and knowledge, so you should be ready to share your ideas and solutions with your team.

As a Web Analyst you will have a key part in optimising the digital performance of our clients’ websites and e-commerce solutions. We treat measurement as a discipline rather than a reporting task: you cannot improve what you cannot measure.

Two things make this more demanding than it used to be. A number in a report is a construction, not an observation: consent rules, modelled conversions and cross-device behaviour mean a good analyst knows how a figure was built and what it can carry. And we do not stop at dashboards. We build metric cockpits: four to seven metrics per view, one per funnel stage, each with an owner and a target, split between a board view and a marketing one.

You will grow into the wider practice around you: server-side measurement, incrementality testing, mix modelling and activation. None of it is expected on day one. What we expect is solid GA4 and tagging craft, and the appetite to go further.

Key Responsibilities

• Measurement Design: Define what should be measured before it is measured: events, parameters and a measurement plan tied to the client’s business questions.
• Implementation: Implement and maintain tracking in GA4 and Google Tag Manager, including server-side setups, and validate that what is collected matches what was designed.
• Data Quality & Consent: Keep collection clean and lawful: consent mode, data retention, filtering and the documentation that lets someone else trust the numbers.
• Metric Definition: Help define the metrics themselves, not only report them: what counts, how it is calculated, who owns it and what target it carries. A metric without a definition and an owner is decoration.
• Conversion & Funnel Analysis: Analyse customer journey, funnel and conversion behaviour on websites and e-commerce platforms, and turn it into prioritised recommendations.
• Experimentation: Formulate hypotheses to optimise KPIs, design A/B tests, and read the results with the statistical care they deserve.
• Attribution & Triangulation: Work with attribution models as one input rather than the truth, and understand how they sit next to incrementality tests and mix modelling. When two sources disagree, the job is to explain why, not to pick the kinder number.
• Reporting & Visualisation: Build reporting in Looker Studio and Power BI that answers a question rather than displaying everything available.
• Client Consulting: Understand business objectives and provide data-driven consulting, collaborating with clients and internal teams to define data requirements.
• Data Accessibility: Improve data transparency and accessibility, so products can be adapted quickly to client needs and requirements.
• Team Contribution: Share methodology and improve the analytics practice collectively, which is how Inner Data works.

Technical & Platform Skills

• Experience: 2 to 3 years of experience in Martech, digital or web analytics.
• Education: Degree in Business Studies, Management, Mathematics, Statistics, Media Management or Digital Marketing.
• Analytics tooling: Proficiency in data analysis, validation and visualisation, with Google Analytics 4 and Google Tag Manager as daily tools.
• Visualisation: Experience with data visualisation tools such as Looker Studio and Power BI.
• Optimisation knowledge: Knowledge of customer journey optimisation, funnel and conversion optimisation, e-commerce and A/B testing.
• Measurement literacy: Understanding of what consent, modelling and cross-device behaviour do to a number, and the habit of checking how a figure was produced before quoting it.
• Business translation: Ability to understand business objectives and formulate hypotheses that optimise KPIs, working with clients and internal teams on data requirements.
• Communication: Excellent communication skills and a team-player posture, able to collaborate with the rest of the data team.
• AI literacy: Literacy in Tech and AI subjects, and practical understanding of how LLMs and agents work: context, tools, memory, and why the same prompt can return different answers. Sophisticated use of AI platforms, both with efficiency and security.

Behavioral Skills

• Intellectual Honesty: You say when the data cannot answer the question, which is more useful than an answer that does not hold.
• Detail Orientation: Meticulous with tagging, filters and definitions, where a small error quietly invalidates months of reporting.
• Curiosity: You follow an anomaly until you understand it rather than annotating it and moving on.
• Collaborative Spirit: Ready to share methodology and solutions with the team, which is how Inner Data works.
• Clear Communication: You can translate a complex analysis into something a client can act on.
• Kindness: At Wise Pirates we promote and admire kindness, independently of rhythm, intensity and efficiency.
• Analytical Mindset: Capable of putting data first and obsessed with insight building, always with client satisfaction and business results in mind.
• AI Readiness: Interest and fluency in using AI as a partner to deliver efficient value, respecting security and privacy regulations.

Nice to Have

• Additional years of experience beyond the range above, for a broader remit and more ownership over measurement design.
• Knowledge of SQL and Google BigQuery.
• Knowledge of Python or JavaScript for data processing and visualisation.
• Server-side measurement in practice: server-side GTM, the Measurement Protocol, and an idea of how much event loss it recovers.
• Experience with server-side tagging and with consent management platforms.
• Experience with a dedicated experimentation or CRO tool.
• Building metric cockpits or metric trees: decomposing a top metric into the drivers someone can actually act on.
• Composite and business-facing metrics, such as blended or omnichannel ROAS that counts offline revenue alongside online.
• Incrementality or geo-lift testing, and the statistical literacy to know when a result is real.
• Marketing mix modelling, with Google Meridian, PyMC-Marketing or Meta Robyn, and a preference for methods that report uncertainty instead of false precision.
• Activation work: wiring metrics into value-based bidding and offline conversion imports, so the model feeds the media rather than only the slide.
• Tracking brand visibility in AI answers, as a metric alongside the traditional ones.
• Working in an environment with formal governance, ISO 27001 or similar, where documentation is part of delivery.