Finance Data Analyst

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 enables retailers and marketplaces 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, 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. 

• 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

• 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

• 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

• Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. 
• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. 
• Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. 
• Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. 

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Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

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