Staff Analytics Engineer - Product Data Instrumentation

Salla
Jeddah
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Data quality mindset","Influencing without authority","Written communication","Developer experience focus"]

Own event instrumentation and behavioral data across Salla by designing and maintaining event taxonomies, tracking plans, schemas, and an identity model. Partner with Product and engineering to ensure every metric is traceable to deliberately designed and monitored events. Build scalable data models and transformation pipelines, enforce data quality through testing and validation, and keep warehouse structures, lineage, and best practices documented and reliable.

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FursaFursa
Salla
Salla
1 day ago

Staff Analytics Engineer - Product Data Instrumentation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Own event instrumentation and behavioral data across Salla by designing and maintaining event taxonomies, tracking plans, schemas, and an identity model. Partner with Product and engineering to ensure every metric is traceable to deliberately designed and monitored events. Build scalable data models and transformation pipelines, enforce data quality through testing and validation, and keep warehouse structures, lineage, and best practices documented and reliable.
Location: Jeddah
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own the design, development, and maintenance of data models and transformation pipelines for instrumentation data.
  • •Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions.
  • •Ensure data quality and consistency through rigorous testing, validation, and monitoring practices, and proactively fix data issues.
  • •Maintain and document the data warehouse structure, data dictionary, and lineage while defining and enforcing data modeling best practices.
  • •Partner with analytics and business teams to optimize self-serve access to reliable metrics and improve developer experience by automating workflows and simplifying data discovery.

Key Requirements

  • •6+ years in analytics engineering, data engineering, product analytics infrastructure, or software engineering, including 3+ years directly owning event instrumentation and tracking.
  • •Proven track record designing an event taxonomy and tracking plan from scratch and driving adoption across engineering teams.
  • •Hands-on experience with event collection/CDP platforms (Segment, Jitsu, or similar) and product analytics platforms (Amplitude, Mixpanel, PostHog, GA4).
  • •Expert SQL and hands-on dbt experience, modeling high-volume event data in a columnar warehouse (ClickHouse, BigQuery, Snowflake).
  • •Strong software engineering fundamentals with production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go, or Python for reviewing tracking pull requests.
Experience:6+ yearsAnalytics engineeringData engineeringProduct analyticsEvent instrumentationProduct analytics infrastructure
Education:Bachelor's
Skills:Cross-functional collaborationData quality mindsetInfluencing without authorityWritten communicationDeveloper experience focus
Languages:Arabic
Tech Stack:TypeScriptJavaScriptKotlinSwiftPHPGoPythonSQLDbtClickHouseBigQuerySnowflakeKafkaSegmentJitsuAmplitudeMixpanelPostHogGA4Avo

Company Brief

Salla
Provides an e-commerce platform that helps merchants create, manage, and grow online stores. The product includes storefront setup, payments, order management, shipping integrations, and tools for sales and customer engagement.
Industry: SaaS
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Riyadh, Saudi Arabia
Founded: 2016
WebsiteLinkedIn