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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.

Analytics & Transformation Engineer

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