Growth Analytics Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• As a Growth Analytics Engineer at Como, your mission will be to ensure the data that drives decisions is reliable: implementing correctly from the start, auditing existing data, and preparing measurement for experimentation.

• You will work on e-commerce and product, collaborating with teams that need to interpret results without questioning the numbers.

• Here, you won't just be working with third-party tools: we have our own experimentation platform and an agent environment with MCPs that we use daily for auditing and analysis.

• Event tagging in GTM for GA4 and other analytics tools.

• Advanced configurations in GA4 for clients.

• Designing explorations in GA4 and the accompanying dashboards.

• Generating result reports in Data Studio and Power BI.

• Conducting instrumentation audits for each new client.

• Designing and leading measurement plans and event taxonomies across platforms (web, app, server).

⛳️ Requirements

• A minimum of 3 years of experience in instrumenting e-commerce on Shopify or an equivalent platform: dataLayer, funnel and purchase events, coexistence of the GTM container with custom pixels, and understanding of checkout limitations.

• At least 2 years of experience in agile environments.

• Experience in creating dashboards for clients.

• Effective management of complex tasks and projects using Jira, Trello, Asana, or similar tools.

• Strong analytical skills in GA4.

• Advanced capability in instrumentation with Google Tag Manager.

• Ability to create advanced dashboards in Data Studio and Power BI.

• Proactive documentation skills: ensuring that measurement plans, technical decisions, and QA checklists are written so that someone else can continue your work without needing to ask you.

• Experience with experimentation tools (VWO, Optimizely, or AB Tasty) from the data perspective: tagging variants, sample control, and result interpretation.

• Knowledge of Consent Mode v2 and CMPs and their actual impact on data: modeling, attribution gaps, and unassigned traffic.

• Daily use of AI in analytics: agents and MCPs for auditing instrumentation, accelerating analysis, and automating QA.

• We are looking for practical knowledge, not theoretical understanding; you should already be applying this in your work.

• Intermediate SQL skills on BigQuery: aggregations and JOINs, handling GA4 exports (nested structures, event_params, UNNEST), while controlling query costs.

• Proficiency in English at B2 level.

🏝️ Benefits

• Fully remote work with extensive flexibility in hours (subject to client schedules and team meetings).

• Salary range in euros/gross annually (depending on expertise).

• Flexible compensation options with Factorial.

• Public holidays in your region and local holidays.

• 25 days of vacation (22 working days plus your birthday, December 24, and December 31).

• Reduced working hours during the summer months (July and August).

• Unlimited access to our training platform, PH School, valued at over 3000€/year.

• €500 budget to set up your home office, plus a company laptop (a Macbook Pro).

• Weekly paired classes to improve your English.

• Participation in Product Hackers events and team-building activities.

• Incentives for bringing in new Dev or GM colleagues.

• Bonus based on a percentage of revenue if you refer a client.

• Development and training plan to continue your growth as a professional at Product Hackers.