Finance Data Analyst

Moloco • Menlo Park, CA

21h • $128,000 - $175,000

About The Position

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
We are seeking an outstanding Finance Data Analyst with 6+ years of experience to join our dynamic Finance team. This role will report to the Business Intelligence Director and will partner proactively with cross-functional stakeholders across the organization, including Executive Leadership, FP&A, GTM, Engineering, and Data teams.

Requirements

• BA/BS degree in a quantitative field such as economics, mathematics, statistics, finance, computer science, or equivalent applied experience
• 6+ years of experience in quantitative analysis in tech, finance, consulting, or similar analytical environments
• Deep expertise in working with large datasets, with strong Excel and SQL skills
• Hands-on experience maintaining data pipelines and working with modern cloud data environments such as Azure Fabric, GCP, and BigQuery
• Proven track record of building actionable dashboards and reporting tools using Power BI (preferred) or similar visualization tools
• Experience implementing or managing data governance controls, including user access management and audit-ready reporting environments
• Strong understanding of revenue analytics, including customer-level performance, cohort analysis, forecasting support, and KPI tracking
• Demonstrated ability to translate ambiguous business questions into structured analysis and clear, defensible insights
• Strong attention to detail, with a focus on data integrity, reconciliation, and compliance with financial reporting standards

Nice To Haves

• Experience integrating data across CRM, billing, ERP, and engineering systems
• Experience designing and maintaining ETL/ELT pipelines in cloud data platforms
• Proficiency in Python (or similar language) for automation and data analysis
• Familiarity with SaaS or adtech revenue models
• Experience preparing data environments for SOX or public-company reporting readiness

Responsibilities

• Translate complex revenue and financial data into clear, executive-ready insights that inform company strategy and performance management
• Own and enhance executive-level reporting, including Board materials and standardized reporting frameworks that ensure consistency, accuracy, and audit readiness
• Design and build scalable dashboards, reporting tools, and curated datasets that enable self-serve analysis for the CFO and FP&A teams
• Partner closely with the CFO, FP&A, GTM, Engineering, and Data teams to deliver high-impact ad hoc analyses that answer critical business questions around revenue performance and forecast accuracy
• Maintain and enhance data pipelines from upstream engineering systems (product databases, CRM, billing platforms, etc.) into the Finance Data warehouse, ensuring data accuracy, reconciliation, and reliability
• Establish and enforce audit-compliant data governance practices, including role-based access controls and proper documentation for the Finance Data warehouse and reporting environments
• Serve as a steward of trusted revenue data, ensuring consistency between operational systems, the data warehouse, and financial reporting
• Identify key business trends, risks, and opportunities through structured modeling and data-driven storytelling

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level