Product Analytics Architect — AI-Driven Growth

SoSafe; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible hours

33 vacation days

Open Up wellness program

Virtual events

Dog-friendly HQ

Job summary

SoSafe in Lisbon/Portugal is seeking a Senior Product Analytics Engineer to help shape data-informed decision-making across product lines. You will translate complex data into clear insights that influence product strategy, user experience, and business growth.

You will partner with Product Managers, Designers, Engineering and GTM to uncover opportunities, validate ideas, and build scalable data products that enable self-service analytics.

Qualifications

• 5+ years in data analytics/analytics engineering/data science supporting product teams in B2B.
• Strong fundamentals of product analytics: metrics, funnels, retention, segmentation.
• Proficient in SQL and data modeling for scale and reusability.
• Experience with event-based tracking data and self-serve analytics.
• Ability to craft data stories to influence product decisions.

Responsibilities

• Own product analytics across product lines and define targets aligned with strategy.
• Influence decision-making by delivering clear data insights to product leaders.
• Build reusable data products to enable self-service analytics and democratize data access.
• Define event instrumentation and taxonomy for our analytics architecture.
• Drive data literacy and enable cross-functional teams to self-serve insights.

Skills

SQL

DBT

Python

Product analytics

Data storytelling

Cross-functional collaboration

Tools

Amplitude

Heap

Mixpanel

Job description

SoSafe in Lisbon/Portugal is seeking a Senior Product Analytics Engineer to help shape data-informed decision-making across product lines. You will translate complex data into clear insights that influence product strategy, user experience, and business growth.

You will partner with Product Managers, Designers, Engineering and GTM to uncover opportunities, validate ideas, and build scalable data products that enable self-service analytics.