Senior Data Analyst (Product Analyst)

Location: Onsite in Riyadh, Saudi Arabia Role OverviewThe Senior Data Analyst will combine strong analytical expertise with deep business understanding to support product, growth, and commercial teams. This role is ideal for someone who enjoys working with large datasets, building scalable analytics solutions, and uncovering insights that influence strategic decisions.Key ResponsibilitiesPartner with Product, Engineering, Finance, Risk, and Commercial teams to define and measure business success metrics.Conduct product analytics, customer behavior analysis, funnel analysis, and cohort studies.Design, build, and maintain robust data models using dbt and modern cloud data platforms.Develop dashboards and reporting solutions to provide stakeholders with actionable insights.Analyze transaction, customer, and financial data to identify growth opportunities and operational efficiencies.Support A/B testing and experimentation frameworks to evaluate product enhancements.Monitor key business, product, and financial KPIs and proactively identify trends and risks.Ensure data quality, consistency, and governance across analytics assets.Required Qualifications5+ years of experience in Data Analytics, Product Analytics, Business Analytics, or Analytics Engineering.Advanced SQL skills and strong experience with data modeling.Hands-on experience with dbt and analytics engineering best practices.Experience working with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.Strong analytical and problem-solving skills with the ability to translate complex findings into business recommendations.Experience with BI and visualization tools such as Looker, Tableau, Power BI, or similar.Preferred ExperienceExperience within Financial Services, FinTech, Banking, Payments, Lending, Digital Wallets, Credit Risk, or Consumer Finance environments.Understanding of financial metrics, transaction analytics, customer lifecycle analysis, and revenue performance reporting.Experience analyzing payment, credit, lending, collections, or risk data.Familiarity with Python or R for advanced analytics and automation.