Senior Data Analyst - AI (Gen AI & Recommendation Systems)

Salla
Makkah
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 4+ yearsSkills: ["Cross-functional collaboration","Data modeling","Experimentation","Metrics definition","Performance tuning"]

Own data and analytics for Gen AI and recommendation systems, building centralized reporting that turns metrics into product decisions. Design scalable batch/streaming pipelines, multi-layer data models, and Feature Store/ML data flows that support low-latency recommendations. Create A/B testing pipelines and reliable metric computation, master ClickHouse for experiment aggregation, and implement CDC/event-driven refresh (Kafka). Partner with Data Scientists, ML Engineers, Product, and Backend to deliver production-ready data and ML features.

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FursaFursa
Salla
Salla
1 week ago

Senior Data Analyst - AI (Gen AI & Recommendation Systems)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own data and analytics for Gen AI and recommendation systems, building centralized reporting that turns metrics into product decisions. Design scalable batch/streaming pipelines, multi-layer data models, and Feature Store/ML data flows that support low-latency recommendations. Create A/B testing pipelines and reliable metric computation, master ClickHouse for experiment aggregation, and implement CDC/event-driven refresh (Kafka). Partner with Data Scientists, ML Engineers, Product, and Backend to deliver production-ready data and ML features.
Location: Makkah
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build and maintain scalable, fault-tolerant batch and streaming pipelines for analytics and ML use cases.
  • •Define key metrics for each shipped product and build centralized reporting to surface trends and insights.
  • •Design and own multi-layer data models (staging to feature-ready marts) that stay consistent across ML models, dashboards, and APIs.
  • •Engineer ML Feature Store and related data flows (including graph data where relevant) to support recommendation models.
  • •Build pipelines and metrics frameworks behind A/B testing, including experiment schemas, assignment logging, and reliable metric computation.

Key Requirements

  • •4+ years as a Data/Analytics Engineer building data systems for analytics and ML.
  • •Expert Python and advanced SQL.
  • •Strong BI/visualization skills (e.g., Looker, Tableau) with intuition for metrics and how to present them.
  • •Hands-on experience building pipelines with orchestration tools like Mage AI, Airflow, or Prefect.
  • •Deep production experience with ClickHouse (or BigQuery/Snowflake) plus multi-layer data modeling and A/B experimentation frameworks.
Experience:4+ yearsMachine learningRecommendation systemsA/B testingData pipelinesData modeling
Skills:Cross-functional collaborationData modelingExperimentationMetrics definitionPerformance tuning
Tech Stack:PythonSQLLookerTableauClickHouseBigQuerySnowflakeMage AIAirflowPrefectKimballData VaultOBTFeastHopsworksApache KafkaChange Data Capture (CDC)DebeziumMaxwellDbt

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