Analytics & Transformation Engineer

Job Description: Analytics & Transformation EngineerJob Title: Analytics & Transformation EngineerExperience: 3–11 YearsLocation: Riyadh - OnsiteEmployment Type: Full-TimeJob OverviewWe are seeking an experienced Analytics & Transformation Engineer with 3–11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.Key ResponsibilitiesDesign and develop scalable analytics solutions to support business transformation initiativesBuild executive dashboards, reports, and analytical models to enable data-driven decision-makingDevelop and maintain semantic models, metrics frameworks, and reporting standardsPerform behavioral analytics to understand user journeys, engagement patterns, and business performanceDefine and implement event tracking strategies, analytics taxonomies, and measurement frameworksCollaborate with product, engineering, marketing, and business teams to establish data-driven processesPerform tracking implementation QA and ensure accuracy of analytics data collectionConduct A/B testing analysis and evaluate the impact of product and business changesPerform post-launch transaction analysis and ensure analytics readiness for new initiativesIdentify opportunities for process optimization and business improvement through data insightsRequired Technical SkillsBusiness Intelligence & VisualizationHands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reportingExperience developing interactive dashboards, KPI reporting, and executive-level visualizationsData Modeling & Analytics EngineeringStrong experience with SQL and dbt for data transformation and analytics workflowsExperience designing and maintaining semantic models and reusable analytical datasetsUnderstanding of data modeling concepts, metrics definitions, and reporting frameworksProduct & Behavioral AnalyticsExperience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysisStrong understanding of behavioral analytics, user journey tracking, and engagement measurementExperience defining metrics, event taxonomy planning, and tracking implementation QAExperimentation & MeasurementExperience designing and analyzing A/B testing initiativesAbility to measure business impact through controlled experiments and analytical insightsExperience with post-launch analysis, transaction analysis, and performance trackingReporting & Productivity ToolsAdvanced proficiency in Microsoft Excel for analysis, reporting, and data validationExperience working with analytics methodologies and comparable tools/platformsQualificationsBachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field3–11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product AnalyticsStrong analytical, problem-solving, and communication skillsAbility to work with technical and non-technical stakeholdersExperience working in Agile/Scrum environmentsPreferred SkillsExperience supporting digital transformation and product analytics initiativesKnowledge of cloud data platforms such as AWS, Azure, or Google Cloud PlatformFamiliarity with data governance, analytics standards, and measurement frameworksExperience working with large-scale datasets and enterprise reporting environmentsCertifications in analytics, BI tools, or cloud technologies are a plusKey Technology StackBusiness Intelligence: Power BI or Tableau or LookerAnalytics Engineering: dbt and SQLData Modeling: Semantic Models and Metrics FrameworksBehavioral Analytics: Mixpanel or Amplitude or Google Analytics or HotjarProduct Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B TestingReporting & Analysis: Excel and Dashboard CreationAnalytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis ReadinessComparable Tools & Methods: Similar analytics, BI, and transformation platforms as required by business needs