Staff Analytics Engineer - Product Data Instrumentation

About the role

Salla is seeking a Staff Analytics Engineer to own event instrumentation and behavioural data across the product. In this senior individual‑contributor position you will shape the event taxonomy, tracking plans, schemas and identity model, ensuring they are trustworthy and widely adopted by engineering teams.

Key responsibilities

• Design, develop, and maintain data models and transformation pipelines.
• Collaborate with product, engineering and analytics stakeholders to translate data needs into scalable solutions.
• Implement rigorous testing, validation and monitoring to guarantee data quality and consistency.
• Document and maintain the data warehouse structure, data dictionary and lineage.
• Define and enforce best practices for data modeling and event tracking.
• Improve developer experience by automating workflows and simplifying data discovery.

Required profile

• 6+ years of experience in analytics engineering, data engineering or related fields.
• At least 3 years directly owning event instrumentation and tracking.
• Proven ability to design an event taxonomy and drive adoption across multiple engineering teams.
• Strong software engineering fundamentals and ability to review tracking pull requests in at least one language such as TypeScript, JavaScript, Kotlin, Swift, PHP, Go or Python.

Required skills

• SQL and dbt for high‑volume event modeling.
• Experience with product analytics platforms (Amplitude, Mixpanel, PostHog, GA4).
• Familiarity with CDP/event collection tools (Segment, Jitsu or similar).
• Knowledge of streaming architectures (Kafka or equivalent).
• Event instrumentation, tracking plans, event taxonomy, identity resolution, consent management, privacy regulation.
• Proficiency in at least one programming language: TypeScript/JavaScript, Kotlin, Swift, PHP, Go, Python.