
Foodics
Senior Data Analyst
- Permanent
- Riyadh, Saudi Arabia
- Experience 5 - 10 yrs
Job expiry date: 18/05/2026
Job overview
Date posted
03/04/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 20,000 - 30,000 per month
Compensation
Comprehensive package
Job description
The Senior Data Analyst at Foodics joins the Optimization Team within a leading restaurant management ecosystem and payment technology SaaS provider headquartered in Riyadh, serving customers across more than 35 countries and processing over 6 billion orders. The role focuses on leveraging data analysis to improve product performance, customer experience, and business outcomes across a data-driven SaaS platform. The Senior Data Analyst leads end-to-end analytical investigations including defining business problems, exploring datasets, performing advanced SQL analysis, and delivering actionable insights. The position designs and executes experimentation frameworks including A/B testing and statistical analysis to measure the impact of product and operational changes. The role requires building and maintaining dashboards using Metabase and Looker Studio, performing deep dives into performance trends, conducting root-cause analysis, and translating findings into business insights for Product, Operations, Customer Support, Sales, and leadership teams. The Senior Data Analyst collaborates closely with Data Engineering to improve data quality, define modeled tables, request data pipelines, and enhance data infrastructure. The role involves evaluating product improvement ideas, building data-backed business cases, prioritizing initiatives based on impact, and optimizing workflows using dataset analysis. The position requires working with incomplete, inconsistent, or noisy datasets while delivering reliable insights, supporting data-driven decision-making across the Optimization Team, and documenting learnings for reuse. The role also values experience in SaaS, FinTech, F&B, or retail sectors and familiarity with Python for advanced data analysis.
Required skills
Key responsibilities
- Own end-to-end analytical projects by defining business problems, exploring datasets, performing advanced SQL analysis, and communicating actionable insights to stakeholders across Product, Operations, and leadership teams
- Design, execute, and analyze experiments and A/B testing frameworks to measure product performance, business initiatives, and operational changes using statistical analysis methodologies
- Write advanced SQL queries including complex joins, window functions, and performance optimization techniques to extract, transform, and analyze large datasets efficiently
- Perform deep analytical investigations and root-cause analysis to identify patterns, trends, anomalies, and performance drivers affecting business outcomes and customer experience
- Build and maintain dashboards and reporting solutions using Metabase and Looker Studio to monitor key metrics, experiments, and product performance indicators
- Collaborate with Product, Operations, Customer Support, and Sales teams to define success metrics, evaluate product improvement ideas, and prioritize initiatives based on impact
- Partner with Data Engineering teams to improve data quality, define requirements for modeled tables, request new data pipelines, and enhance data infrastructure
- Translate analytical findings into presentations, written documentation, and decision-ready insights while supporting data-driven decision-making and documenting learnings for reuse
Experience & skills
- Demonstrate minimum 5+ years of experience in data analysis, analytics, or business intelligence roles within SaaS, FinTech, or data-driven product companies
- Demonstrate advanced proficiency in SQL including complex joins, window functions, query optimization, and large dataset analysis
- Demonstrate strong experience in experimentation, A/B testing, and statistical analysis to measure product and business impact
- Possess hands-on experience with business intelligence tools including Metabase, Looker Studio, or similar dashboarding platforms
- Demonstrate experience performing deep analytical investigations, root-cause analysis, and delivering actionable insights for stakeholders
- Demonstrate experience working with messy, incomplete, or inconsistent datasets while producing reliable analytical outputs
- Demonstrate experience collaborating cross-functionally with Product, Operations, Sales, Customer Support, and Data Engineering teams
- Demonstrate familiarity with Python for data analysis and experience working with datasets in F&B or retail sectors as preferred qualifications