About Kaching:
Kaching is a Swedish fintech company revolutionizing the cashback and rewards industry. Our platform lets users earn cashback seamlessly while shopping with their favourite brands. We're dedicated to delivering smooth user experiences through cutting-edge tech and data-driven insights. Join us in reshaping how people save and interact with cashback! We're expanding across Europe, and it's an ideal time to hop on board a vibrant, small team of driven professionals.
Position Overview:
We're seeking a motivated Backend Developer, perfect for students or recent graduates to join our team on a part-time basis. This role lets you work flexibly alongside your studies or another job, while earning a competitive salary. You'll contribute to building an advanced Analytics product using AWS services and tools, specifically Amazon Quick Suite. This is a great entry point into a high-growth tech company, where you can gain hands-on experience and grow your skills.
Responsibilities:
Connect the data source in Quick Suite
Set up the existing AWS data source (e.g., Amazon Redshift, for transactional data). Provide connection details like credentials, VPC settings if needed, and test the connection to ensure secure access to the transactional dataset.
Create or prepare a dataset
Build a dataset from the connected source by selecting relevant tables or queries containing transactional data. Apply data preparation steps, such as filtering rows, joining with other sources if needed, adding calculated fields, or transforming data for analysis.
Import data or configure query mode
Choose to import transactional data into SPICE (Quick Suite's in-memory engine) for faster performance and offline analysis, or use direct query mode for real-time access. Schedule refreshes if using SPICE to keep reports updated with the latest transactions.
Build visualizations and analyses
Create an analysis by adding visuals (charts, tables, KPIs) based on the transactional data. Use drag-and-drop to aggregate metrics (e.g., sales totals, trends over time), apply filters, parameters, drill-downs, or ML-powered insights for deeper analytics.
Publish and share dashboards/reports
Publish the analysis as an interactive dashboard or paginated report. Configure sharing options, row/column-level security, emailed schedules, or embeddings, allowing stakeholders to explore transactional insights securely.
Qualifications:
Nice to Have:
What We Offer:
How to Apply:
If you're a student or recent grad excited about tech and fintech, send your resume or a brief intro about your background to [email protected]. We're eager to chat and see how you can dive into our Quick Suite analytics project at Kaching!