Informacje o stanowisku

RTB House is a global company that provides retargeting technology for the biggest e-commerce companies worldwide. 

As one of a few tech companies in the world, RTB House has developed its own retargeting solution for purchasing online ads in the Real-Time Bidding model based on deep learning algorithms.

The outstanding effectiveness of the solution results in a monthly display of more than 24 billion creatives that are generated in response to more than 15 million queries per second. 

The company serves clients in 85 markets across EMEA, APAC and the Americas regions with main locations in New York, London, Tokyo, Singapore, São Paulo, Istanbul, Dubai and Warsaw.

The following skills will be crucial:

• Strong analytical and financial modeling abilities in cloud environments
• Deep understanding of the GCP billing structure and resource pricing
• Ability to translate complex technical usage into business-relevant financial insights
• Comfort presenting findings to both technical and non-technical audiences
• A proactive mindset for identifying inefficiencies and optimization opportunities

Must have

• At least 4 years of experience in cloud cost analytics, financial planning, data analysis, or a related field
• Proven hands-on experience working with at least one major cloud provider (e.g., GCP, AWS, or Azure), particularly with cost control, billing structures, and resource tracking
• Strong understanding of cloud cost models, billing reports, and pricing mechanisms
• Proficiency in SQL and working with large-scale datasets
• Experience analyzing cloud usage and spend patterns across multiple projects or environments
• Ability to produce clear cost breakdowns and actionable recommendations
• Background in Finance, Economics, Accounting, Computer Science, or a related field
• Understanding of budgeting, forecasting, and financial tracking in cloud contexts
• Excellent communication skills for cross-functional collaboration

Good to have

• Hands-on experience with Google Cloud Platform (GCP) - particularly BigQuery and Looker
• Familiarity with GCP-native cost tools (e.g., Cost Table, Billing Export, Committed Use Discounts)
• Experience with the FinOps Foundation framework or similar cost governance approaches
• Scripting or automation skills using Python or Google Cloud Functions
• Prior experience in interdisciplinary teams involving finance and cloud engineers

RTB House is a global company that provides retargeting technology for the biggest e-commerce companies worldwide. 

As one of a few tech companies in the world, RTB House has developed its own retargeting solution for purchasing online ads in the Real-Time Bidding model based on deep learning algorithms.

The outstanding effectiveness of the solution results in a monthly display of more than 24 billion creatives that are generated in response to more than 15 million queries per second. 

The company serves clients in 85 markets across EMEA, APAC and the Americas regions with main locations in New York, London, Tokyo, Singapore, São Paulo, Istanbul, Dubai and Warsaw.

,[As a FinOps Data Analyst focused on Google Cloud Platform (GCP), you will become the central point of accountability and insight for our cloud-related financial operations. Your role will be instrumental in understanding how and where our cloud budgets are spent - spanning across products, services, projects, and teams. , You will collaborate closely with engineering stakeholders to dissect cost data, ensure transparency, and create accurate forecasts. Your day-to-day will involve identifying spending patterns, ensuring cost allocation accuracy, and delivering actionable insights to support informed decision-making. , You’ll be expected to proactively suggest improvements to cost efficiency, architecture choices, and operational practices, with a strong emphasis on tools like BigQuery and Looker. Ultimately, you’ll play a critical role in ensuring our GCP usage remains optimized, predictable, and aligned with business objectives. Requirements: Data analysis, SQL, Python, Data mining, Data models, Cloud, Communication skills, Google BigQuery, GCP Additionally: Training budget, International projects, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages, In-house trainings, No dress code, Modern office.

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