Senior Cloud Data Analyst

At Pretius, we are looking for Senior Cloud Data Analyst to a project for global-scale platform in the field of gaming and lotteries.

Project / Role

• Partner with Data Engineers to design, build, and optimize a FinOps Data Platform, including end-to-end data pipelines for ingesting, processing, and transforming structured and unstructured data for cloud cost chargeback datasets.

• Perform data analysis to identify trends, patterns, and anomalies, and deliver actionable insights for product, finance, and technology stakeholders.

• Develop reports, dashboards, and visualizations (e.g., Power BI, DAX) to support business, financial, and reconciliation analysis.

• Collaborate with Data Engineering, DevOps, Finance, and other stakeholders to translate business requirements into scalable data solutions.

• Support monthly actuals reporting, forecasting, and budgeting processes using Python-based automation and large-scale data processing.

• Improve reporting and financial close processes by leveraging SQL and Power Query, and automating Excel-based workflows.

• Build and maintain automated data pipelines to improve efficiency, scalability, and reliability of data processing.

• Ensure data quality through validation checks, monitoring, issue resolution, and performance optimization.

• Enforce data governance, security standards, compliance requirements, and access control policies.

• Collect, clean, and integrate data from multiple cloud platforms (Azure, AWS, GCP, Snowflake).

Requirements

• 7+ years of experience in data analytics, business intelligence, or data engineering-related roles.

• Strong proficiency in SQL and advanced analytical querying.

• Hands-on experience with cloud analytics platforms, including Azure Synapse Analytics, Azure Data Explorer, and Power BI.

• Experience with Apptio platform (Cloudability, Apptio BI, TBM Studio) is a plus.

• Proven experience working with cloud environments such as AWS, Azure, GCP, and Snowflake.

• Strong analytical and problem-solving skills with excellent attention to detail.

• Ability to interpret large, complex datasets and translate them into meaningful business insights.

• Advanced knowledge of Python for data analysis and data processing.

• Experience in database management and working with large-scale data systems.

• Familiarity with Power Query and PowerApps for data transformation, automation, and workflow optimization.

• Availability to work in overlapping hours (approximately 12:00–20:00 CET).

What do we offer?

• We focus on long-term relationships based on fair principles and reliability.

• Co-financing of the Multisport card and Medicover private healthcare.

• Modern office available.

• Team bonding activities, internal courses, conferences, certifications.