Financial Operations Business Data Analyst (Enterprise Company) New York Hybrid

• Support Data Engineering team during monthly invoice processing and validation across all billing sources (10+), inclusive of appropriate chargeback and credit allocation.
• Work closely with segments and third-party cloud providers on billing issue resolution.
• Consult with non-cloud product owners when billing issues arise.
• Drive new billing vendor intake and onboarding.

• Support leadership reporting asks as necessary based on FinOps datasets in Databricks.
• Own cloud billing and optimization reporting including creating self-service queries and reports segment strategic partners can leverage to run efficiently.

• Partner with Cloud Vendors and Segment Strategic Partners to support training activities.
• Consult on cloud cost estimates including managing self-service cloud cost calculators.
• Act as a trusted advisor providing thought leadership on new cloud service provider optimization product launches.
• Provide cost optimization guidance to segments.

• 5+ years experience in product engineering or data engineering.
• 5+ years of experience working with cloud vendors to assess cost (AWS, Google, Azure).
• 5+ years of experience in a cloud business operations role with an emphasis on forecast accuracy and cost optimization.
• Deep knowledge of Excel (arrays formulas) and SQL (creating complex queries joining multiple datasets).
• Both technically adept in multi-cloud strategies & technologies and highly skilled at building strong partnerships that deliver critical organizational outcomes.
• Excellent written and verbal communications; proven ability to develop and deliver presentations geared for Senior and Executive Management.
• Experience with cloud application development platforms, tools and utilities.
• Experiencing managing multiple engineering projects across public and private cloud solutions.
• Ability to work with large data sets for analysis and interpretation of business results.
• Prioritizes work effectively, making tradeoffs as necessary.
• Date driven and manages to deliverables.
• Ability to work cross-functionally with other functions, such as designers, product managers, data scientists, engineers, or SRE, to deliver products.
• Positive can-do partnership attitude while working with teams, cross-functional teams and cross-functional business units.
• Must be detail oriented, self-organized, and capable of simultaneously tracking multiple issues of varying complexity.
• Strong principles of financial analysis.
• Exercises good judgment when faced with risk, blockers, or tradeoffs.
• Leverage accurate documentation, best practices, and creative problem solving.
• Deep empathy for customer requirements -both the goods and the bads.
• Ability to dive deep and validate data.

• Expert knowledge of third-party cloud providers (AWS, Google, and Azure).
• Experience using Databricks.

• BS in CS/Data or Finance

Genuent