Analytics & Transformation Engineer📣 Job Ad

About the Role

Datamatics Technologies is seeking an experienced Analytics & Transformation Engineer to join our team in Riyadh. This full-time role requires 5-10 years of professional experience and focuses on driving data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will possess expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes, translating business objectives into measurable data solutions.

Key Responsibilities

• Design and develop scalable analytics solutions to support business transformation initiatives.
• Build executive dashboards, reports, and analytical models to enable data-driven decision-making.
• Develop and maintain semantic models, metrics frameworks, and reporting standards.
• Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.
• Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.
• Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.
• Perform tracking implementation QA and ensure accuracy of analytics data collection.
• Conduct A/B testing analysis and evaluate the impact of product and business changes.
• Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.
• Identify opportunities for process optimization and business improvement through data insights.

Required Technical Skills

• Business Intelligence & Visualization: Hands-on experience with Power BI, Tableau, or Looker for dashboard creation, analytics reporting, and executive-level visualizations.
• Data Modeling & Analytics Engineering: Strong experience with SQL and dbt for data transformation and analytics workflows, including designing and maintaining semantic models and reusable analytical datasets. Understanding of data modeling concepts, metrics definitions, and reporting frameworks.
• Product & Behavioral Analytics: Experience with Mixpanel, Amplitude, Google Analytics, or Hotjar for user behavior analysis. Strong understanding of behavioral analytics, user journey tracking, engagement measurement, defining metrics, event taxonomy planning, and tracking implementation QA.
• Experimentation & Measurement: Experience designing and analyzing A/B testing initiatives, ability to measure business impact through controlled experiments, and experience with post-launch analysis, transaction analysis, and performance tracking.
• Reporting & Productivity Tools: Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation. Experience working with analytics methodologies and comparable tools/platforms.

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
• 5-10 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.
• Strong analytical, problem-solving, and communication skills.
• Ability to work with technical and non-technical stakeholders.
• Experience working in Agile/Scrum environments.

Preferred Skills

• Experience supporting digital transformation and product analytics initiatives.
• Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with data governance, analytics standards, and measurement frameworks.
• Experience working with large-scale datasets and enterprise reporting environments.
• Certifications in analytics, BI tools, or cloud technologies are a plus.

Key Technology Stack

• Business Intelligence: Power BI, Tableau, or Looker
• Analytics Engineering: dbt and SQL
• Data Modeling: Semantic Models and Metrics Frameworks
• Behavioral Analytics: Mixpanel, Amplitude, Google Analytics, or Hotjar
• Product Analytics: Behavioral Analytics, Event Taxonomy Planning, and A/B Testing
• Reporting & Analysis: Excel and Dashboard Creation
• Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness
• Comparable Tools & Methods: Similar analytics, BI, and transformation platforms as required by business needs