Compass aims to expand and improve on data transparency for our merchants across all of their payments processing data. Offering a range of reporting and analytics products on Checkout.com's merchant facing website, Compass Analytics gives merchants quick access to easy-to-digest visualisations and insights that empower them to make data-informed decisions to positively impact their business growth. Your role as the data analyst within the Compass team would be working alongside software and testing engineers to further enhance our reporting tool so to offer more services to our merchants.

 

 

About You:

• Collaborate closely with business stakeholders to understand their issues and questions and address them via relevant data-based solutions
• Extract, transform and model data to create a self-service data analytics platform
• Provide ad-hoc reports to answer business questions
• Design, implement and maintain intuitive dashboards and insights for enabling data-driven decisions
• Define and create appropriate KPIs for tracking business metrics
• Perform peer code reviews and data integrity checks
• Engage with end-users and provide support where required
• Collaborate with the team to create a backlog of work to achieve the roadmap milestones

• 3+ year experience as a Data Analyst in a data-driven environment
• Solid experience building, deploying, maintaining, and supporting financial reports via SSRS/SSIS or BI tools (Looker, Tableau, PowerBI, etc.)
• Ability to define and create appropriate KPIs and insightful stories to track the right metrics in business dashboards
• Advanced SQL skills to extract and model data from a variety of data sources
• Experience implementing Data Warehouse models (dbt, Kimball and/or Data Vault), ETL processes
• Experience with SDLC within a Data Warehouse context, including experience using Git and familiarity with Continuous Integration and Deployment
• Excellent communication skills with both technical and non-technical stakeholders
• Proactive and motivated team player
• Creative problem solver
• Strong attention to details
• Familiarity with basic statistical concepts
• BSc/BA (or above) in Computer Science, Engineering or relevant field (Statistics, Mathematics, Economics, etc.)