Staff Analytics Engineer - Product Data Instrumentation
Core
Own event instrumentation, behavioral data, and the engineering development lifecycle to ensure trustworthy metrics trace back to deliberately designed events.
Role type
Staff individual-contributor analytics engineer (product data instrumentation)
Builds
Event taxonomies, tracking plans, schemas, identity models, and validation pipelines for behavioral data
Domain
E-commerce / SaaS / Product Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Event taxonomy design, tracking plan governance, data modeling, dbt, SQL, TypeScript/JavaScript/Kotlin/Swift/PHP/Go/Python, streaming architecture (Kafka), server-side tagging, identity resolution, sessionisation, cross-platform stitching
Preferred skills
Arabic proficiency, GCC market experience, e-commerce/marketplace/fintech domain knowledge, mobile instrumentation (native SDKs, attribution), tracking-plan governance tooling (Avo, Segment Protocols)
Technologies
Segment, Jitsu, Amplitude, Mixpanel, PostHog, GA4, ClickHouse, BigQuery, Snowflake, Kafka
Responsibilities
Design, develop, and maintain data models and transformation pipelines; Collaborate with cross-functional stakeholders to understand data needs; Ensure data quality through testing, validation, and monitoring; Proactively spot and fix data issues; Maintain and document data warehouse structure, dictionary, and lineage; Define and enforce data modeling best practices; Partner with analytics teams to optimize self-serve access; Improve developer experience by automating workflows
Seniority
Staff, company-wide leverage, senior IC