Senior Data Analyst – AI, Gen AI, Recommendation Systems

Salla E-Commerce Platform

Senior Data Analyst building data pipelines, models, metrics, and ML features for Gen AI and recommendation systems. Partnering with data, ML, product, and backend teams in a hybrid Makkah role.

Posted 8/5/2026full-timeMakkah • 🇸🇦 Saudi ArabiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable data pipelines for analytics and machine learning, with a strong focus on data modeling, experimentation frameworks, and collaboration with cross-functional teams. Proficient in Python, SQL, and various data orchestration tools to deliver actionable insights and optimize data flows.

Highest-signal resume keywords

Expert PythonAdvanced SQLClickHouse Schema DesignData Pipeline DevelopmentExperience with Mage AI, Airflow, or Prefect

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingExperimentation FrameworksML Feature StoreRanking MetricsBatch and Streaming PipelinesCDC ImplementationA/B TestingData VisualizationSQL Performance Tuning

Tools & Technologies

ClickHouseBigQuerySnowflakeMage AIAirflowPrefectLookerTableauApache KafkaFeast

Industry Keywords

ML LifecycleData VaultKimballOBT PatternsRecommendation SystemsGraph DatabasesEvent-Driven FlowsData RequirementsMetric ComputationAssignment Logging

Tech Stack

Tools & technologies

AirflowApacheBigQueryGoJavaScriptKafkaNeo4jPythonSQLTableauVault

About the role

Key responsibilities & impact

Build and maintain scalable, fault-tolerant batch and streaming pipelines for analytical and ML use cases
Define key product metrics and build centralized reporting to surface important trends and insights
Design and own multi-layer data models from staging to feature-ready marts
Engineer data flows that populate and update the ML Feature Store and relevant graph data
Build pipelines and metric frameworks for A/B testing, including experiment schemas, assignment logging, and metric computation
Own ClickHouse schema design, performance tuning, and fast queries for experiment aggregation and feature serving
Implement CDC and event-driven flows such as Apache Kafka
Build and manage workflows with orchestration tools such as Mage AI, Airflow, and Prefect
Define and interpret offline and online ranking metrics and engineer model features
Partner with Data Scientists, ML Engineers, Product, and Backend teams to turn data requirements into production pipelines and actionable ML features

Requirements

What you’ll need

4+ years of experience as a Data/Analytics Engineer building data systems for analytics and ML
Expert Python and advanced SQL
Strong BI and visualization skills, such as Looker or Tableau
Hands-on experience building pipelines with Mage AI, Airflow, or Prefect
Deep production experience with ClickHouse, BigQuery, Snowflake, or similar
Hands-on multi-layer data modeling using Kimball, Data Vault, or OBT patterns
Solid grasp of experimentation frameworks, including assignment, holdouts, metric pipelines, and variance reduction
Good grasp of the ML lifecycle, including model data consumption and Feature Stores such as Feast or Hopsworks
Ranking-metric knowledge to support Recommendation Systems
Nice to have: DBT; A/B platforms such as Statsig, Optimizely, GrowthBook, or custom platforms; Apache Kafka and CDC tools such as Debezium or Maxwell; graph databases such as Dgraph, Neo4j, or Amazon Neptune; JavaScript or Go

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Salla E-Commerce Platform Website LinkedIn All Job Openings 51 - 200 employees 🛍️ eCommerce ☁️ SaaS eCommerce
SaaS Salla E-Commerce Platform is an innovative platform designed to simplify the process of starting and managing online businesses. It specializes in e-commerce solutions, enabling users to create and operate their online shops effortlessly. With a focus on providing accessible tools and services for e-commerce, Salla is shaping the future of online commerce in a user-friendly manner. Senior Data Analyst – AI, Gen AI, Recommendation Systems 🔥 30 minutes ago 🏢🏡 Makkah – Hybrid ⏰ Full Time 🟠 Senior ⚙️ Systems Engineer Airflow Apache BigQuery JavaScript Kafka Neo4j Python SQL Tableau Vault Go Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build and maintain scalable, fault-tolerant batch and streaming pipelines for analytical and ML use cases
Define key product metrics and build centralized reporting to surface important trends and insights
Design and own multi-layer data models from staging to feature-ready marts
Engineer data flows that populate and update the ML Feature Store and relevant graph data
Build pipelines and metric frameworks for A/B testing, including experiment schemas, assignment logging, and metric computation
Own ClickHouse schema design, performance tuning, and fast queries for experiment aggregation and feature serving
Implement CDC and event-driven flows such as Apache Kafka
Build and manage workflows with orchestration tools such as Mage AI, Airflow, and Prefect
Define and interpret offline and online ranking metrics and engineer model features
Partner with Data Scientists, ML Engineers, Product, and Backend teams to turn data requirements into production pipelines and actionable ML features 🎯 Requirements
4+ years of experience as a Data/Analytics Engineer building data systems for analytics and ML
Expert Python and advanced SQL
Strong BI and visualization skills, such as Looker or Tableau
Hands-on experience building pipelines with Mage AI, Airflow, or Prefect
Deep production experience with ClickHouse, BigQuery, Snowflake, or similar
Hands-on multi-layer data modeling using Kimball, Data Vault, or OBT patterns
Solid grasp of experimentation frameworks, including assignment, holdouts, metric pipelines, and variance reduction
Good grasp of the ML lifecycle, including model data consumption and Feature Stores such as Feast or Hopsworks
Ranking-metric knowledge to support Recommendation Systems
Nice to have: DBT; A/B platforms such as Statsig, Optimizely, GrowthBook, or custom platforms; Apache Kafka and CDC tools such as Debezium or Maxwell; graph databases such as Dgraph, Neo4j, or Amazon Neptune; JavaScript or Go Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs