Cloud Data Analyst

Client: A global leader in gaming, who deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Gaming Machines and Lotteries to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, company’s solutions deliver unrivaled gaming experiences that engage players and drive growth. The company has a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, creating value by adhering to the highest standards of service, integrity, and responsibility.

• Working hours 12:00 PM – 8:00 PM (CEST)
• Strong SQL skills and analytical querying (must-have)
• Experience with cloud analytics tools: Azure Synapse Analytics, Data Explorer, Power BI
• Experience with cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Snowflake
• Strong analytical and problem-solving skills, attention to detail
• Very good Python skills and experience with databases
• Knowledge of Power Query and PowerApps
• Apptio Platform (Cloudability, Apptio BI and TBM Studio) a plus
• 6 years of experience in a similar position
• Knowledge of MS Power BI and Python

Nice to have:

• Azure
• AWS
• GCP

Languages:

• English (advanced)

• Build and develop a FinOps Data Platform with Data Engineers (design, implement, optimize data pipelines)
• Analyze large datasets to identify trends, patterns, and anomalies
• Create dashboards and reports (Power BI, DAX) for product, finance, and tech stakeholders
• Transform data into actionable insights using SQL and Python
• Collaborate with DevOps, Finance, and business teams to translate requirements into data solutions
• Support forecasting, budgeting, and monthly financial analysis
• Automate data processes and improve reporting efficiency (e.g. Excel, Power Query)
• Ensure data quality, governance, and performance monitoring
• Work with cloud data sources (Azure, AWS, GCP, Snowflake)