Cloud Data Analyst

Years of experience 6 – 8 years
Language English
Type of work Full-time, Remote
Work schedule 12 PM – 8 PM

You will work on cloud-based data to deliver insights supporting financial and business decisions. The role combines analytics, BI, and data engineering elements, with a strong focus on FinOps and cloud cost optimization.

Requirements:

• 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 

Responsibilities:

• 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)

Client:

A global leader with a sharp focus on lottery solutions. A confident step forward building on a long history of delivering safe and secure technology, demonstrating strong commitment to customers as a dedicated lottery service provider. Leveraging collective insight, experience, and expertise to create reliable and engaging solutions that help lottery clients achieve objectives, meet player needs, and deliver meaningful benefits to communities.