Analytics & Transformation Engineer

Role Overview

We are seeking an experienced Analytics & Transformation Engineer based in Riyadh to spearhead data-driven transformation efforts through advanced analytics, comprehensive reporting, and robust business intelligence solutions. This full-time onsite role demands a minimum of three years and up to eleven years of relevant experience. The ideal candidate will be adept at dashboard creation, semantic modeling, behavioral analytics, experimentation, and the end-to-end implementation of analytical processes, translating business needs into quantifiable data insights.

Primary Responsibilities

• Develop scalable analytics frameworks that drive transformation across business functions.
• Create executive-level dashboards, detailed reports, and analytical models to facilitate informed decision-making.
• Design and update semantic data models, maintain metric frameworks, and establish reporting standards.
• Conduct behavioral analytics to analyze user interactions, engagement trends, and overall business performance.
• Establish event tracking methodologies, devise analytics taxonomies, and implement measurement frameworks.
• Collaborate extensively with product, engineering, marketing, and business teams to foster data-centric workflows.
• Perform quality assurance on tracking implementations to guarantee precise data collection.
• Analyze A/B testing outcomes and assess the influence of product and operational changes.
• Execute transaction analyses post-launch and ensure analytics readiness for upcoming initiatives.
• Identify and recommend process enhancements and business improvements influenced by data insights.

Technical Skills Required

• Proficient in business intelligence tools such as Power BI, Tableau, or Looker for crafting dashboards and analytical reports.
• Experienced in creating interactive dashboards, KPI tracking, and visualizations catered to executive leadership.
• Strong command of SQL and dbt for data transformation and analytics engineering workflows.
• Expertise in constructing and managing semantic models and reusable datasets for analysis.
• A sound understanding of data modeling principles, metric definitions, and reporting frameworks.
• Familiar with behavior analytics tools including Mixpanel, Amplitude, Google Analytics, or Hotjar to monitor user behavior.
• Competent at planning and validating event taxonomies and tracking implementations.
• Skilled in designing, executing, and interpreting A/B tests and experimental analyses.
• Advanced usage of Microsoft Excel for detailed analysis, reporting, and data integrity checks.

Qualifications and Experience

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or equivalent.
• 3 to 11 years of relevant experience in analytics, business intelligence, data transformation, or product analytics roles.
• Strong analytical thinking, problem-solving abilities, and excellent communication skills.
• Capability to effectively engage with both technical teams and non-technical stakeholders.
• Experience adapting agile methodologies including Scrum in project environments.

Preferred Competencies

• Background supporting digital transformation and product analytic projects.
• Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
• Understanding of data governance policies, analytics standards, and established measurement frameworks.
• Experience handling large datasets and enterprise-scale reporting solutions.
• Relevant certifications in analytics, BI tools, or cloud technologies are advantageous.

Technology Stack

• Business Intelligence: Power BI, Tableau, Looker.
• Analytics Engineering: dbt and SQL.
• Data Modeling: Semantic models and metrics frameworks.
• Behavioral Analytics Tools: Mixpanel, Amplitude, Google Analytics, Hotjar.
• Product Analytics: Event taxonomy planning, behavioral analytics, A/B testing.
• Reporting: Excel, dashboard creation.
• Analytics Operations: Tracking QA, post-launch transaction analysis readiness.
• Comparable analytics and BI tools as suited to business needs.