Back
Common analytics skillset, broad experience band, and product-analytics demand create moderate applicant density.
Core analytics engineering skills transfer across industries, with only modest specialization for product/behavioral analytics.
Explicit 3–11 years plus mandatory dbt, SQL, BI, and experimentation skills produce moderate screening rigor.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop scalable analytics solutions including executive dashboards and semantic models to support business transformation initiatives.
Implement and manage behavioral analytics, event tracking strategies, A/B testing, and measurement frameworks to evaluate user engagement and business performance.
Collaborate across product, engineering, marketing, and business teams to ensure data-driven decision-making and analytics readiness for new initiatives.
3–11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or related field.
Hands-on experience with Power BI or Tableau or Looker and SQL with dbt for data modeling and analytics workflows.
Location requirement: Riyadh - Onsite.
Experienced analytics professional skilled in dashboard creation, semantic modeling, behavioral analytics, and A/B testing within transformation initiatives.
Strong technical proficiency across BI tools (Power BI/Tableau/Looker), data transformation (SQL, dbt), and behavioral analytics platforms (Mixpanel, Amplitude, Google Analytics, Hotjar).
Ability to translate business objectives into measurable data solutions and collaborate effectively with cross-functional teams in Agile/Scrum environments.