Job Title: Analytics & Transformation Engineer
Experience: 3–11 Years
Location: Riyadh - Onsite
Employment Type: Full-Time
We 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 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.
- Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.
- Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.
- Strong experience with SQL and dbt for data transformation and analytics workflows.
- Experience designing and maintaining semantic models and reusable analytical datasets.
- Understanding of data modeling concepts, metrics definitions, and reporting frameworks.
- Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.
- Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.
- Experience defining metrics, event taxonomy planning, and tracking implementation QA.
- Experience designing and analyzing A/B testing initiatives.
- Ability to measure business impact through controlled experiments and analytical insights.
- Experience with post-launch analysis, transaction analysis, and performance tracking.
- Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.
- Experience working with analytics methodologies and comparable tools/platforms.
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.
- 3–11 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.
- 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.
- Business Intelligence: Power BI or Tableau or Looker
- Analytics Engineering: dbt and SQL
- Data Modeling: Semantic Models and Metrics Frameworks
- Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar
- Product Analytics: Behavioral Analytics and 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
Skills Required
- Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting
- Experience developing interactive dashboards, KPI reporting, and executive-level visualizations
- Strong experience with SQL and dbt for data transformation and analytics workflows
- Experience designing and maintaining semantic models and reusable analytical datasets
- Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for behavioral analytics and event tracking
- Experience defining metrics, event taxonomy planning, and tracking implementation QA
- Experience designing and analyzing A/B testing initiatives and measuring business impact
- Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or related field
- 3-11 years professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics
- Experience working in Agile/Scrum environments
- 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
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
