Data Analysis Internship
About the role
Koinz is Saudi Arabia's leading social food ordering experience the app that transforms everyday coffee and dining into a fun, rewarding, and shareable lifestyle.
With 2.7M+ signups, Koinz is more than a loyalty app it's where Gen Z and young consumers discover brands, earn rewards, share experiences, and make food social.
Your mission isto transform raw operational and market data into actionable insights that power our rapid expansion. You will dive deep into specialized data streams, helping our growth teams identify customer behavior trends, optimize conversion funnels, and make sharp, data-driven decisions. If you are a proactive problem solver obsessed with metrics, love untangling complex databases and spreadsheets, and want to see your analytical work directly impact product growth, this role is built for you.
What You Will Learn & Own
- Data Querying & Dashboards:Query databases using SQL and design, build, and maintain interactive dashboards using Metabase, Power BI, or Tableau to monitor key growth metrics, performance indicators, and operational trends.
- Proactive Problem-Solving & Growth Analytics:Independently analyze customer acquisition, retention, and campaign data to spot patterns, isolate growth bottlenecks, solve operational problems, and recommend strategic improvements without waiting for assigned tasks.
- Data Interpretation:Read and interpret dashboard performance daily, translating complex datasets into clear, actionable summaries for cross-functional teams.
- Specialization Data Support:Work directly with specialized datasets to run ad-hoc SQL queries and analyses that validate hypothesis testing and new growth channels.
Who You Are
- Educational Background:Currently an undergraduate student or a recent graduate in Data Analytics, Engineering, Computer Science, Statistics, Business Information Systems, or a related field.
- Technical Toolkit (SQL & Metabase):Proficient in SQL for data extraction/querying and experienced with BI & visualization tools like Metaba…