Finance Data Analyst

Responsibilities

• Run queries against a revenue database to produce monthly digital revenue reports and review the results for accuracy; investigate and seek out solutions to issues as they arise.
• Work with the revenue, data engineering and data science teams to design, implement and maintain various systems, analyses, processes vital to perform the Company’s item-based revenue recognition (e.g., consumable/durable split, player life estimations, IAP bundle allocations, paid vs earned currency, virtual currency holding periods, virtual good consumption patterns, etc).
• Perform and maintain the results of the company’s quarterly data analysis on user purchases and session data in support of revenue accounting.
• Work directly with the company’s Finance Data Engineering Team to maintain and improve the company’s revenue database.
• Lead internal audit initiatives, such as building data quality tools and process, collaborate with broader IT and Engineering teams in an effort to improve ITGC reliance.
• Assist external IT auditors and provide or present support requests to help complete annual audits or ad hoc systems control audits.
• Collaborate with data analytics team to validate financial data metrics for the FP&A team.
• Seek opportunities for systems improvements and data solutions that help Finance-team process scale as the company grows.

Qualifications

• Bachelor’s degree in statistics, analytics, finance/accounting, computer science or another relevant field with at least 4-5 years of experience in a combination of business/analytics roles (e.g., data science/analytics, management consulting, or business operations).
• Experienced SQL ability and proficiency with 1+ programming languages (e.g., R or Python).
• Experience with finance and accounting operations, management reporting, and external audit requirements; understanding of basic finance and accounting concepts.
• Comfortable translating non-technical requirements to developers as well as technical concepts to non-developers.
• Comfortable working in a multifaceted and fast-paced environment and contributing to the refinement of data processes and controls.
• Strong written and verbal communication; ability to prepare and maintain process documentation.