Business Intelligence Engineer – Ads Revenue & Analytics

Responsible for delivering data-driven insights and analytics to support ads revenue, customer behavior analysis, and financial reporting. This role focuses on building dashboards, conducting deep-dive analyses, and supporting month-end financial processes while enabling strategic decision-making across the business.

The position requires a highly analytical individual who can work with large-scale datasets, translate business questions into structured analytical plans, and deliver actionable insights. Success in this role depends on strong technical skills, attention to detail, and the ability to operate in a collaborative, fast-paced environment.

Experience Requirements 7+ years of experience in business intelligence, data analytics, or related fields Experience working with large-scale, complex datasets Bachelor’s degree required (graduate degree preferred) Background in statistics, programming, and finance (academic or professional) Team & Function Overview Supports ads revenue analytics and financial reporting initiatives Key focus areas include dashboard development, revenue analysis, and financial close support Highly collaborative team with strong cross-functional engagement Role open as a backfill for maternity leave with required knowledge transfer period Core Responsibilities Support and enhance dashboards and reporting, including: Weekly business review (WBR) dashboards Revenue and performance dashboards Revenue deep-dive analyses Contribute to financial operations, including: Month-end close for ads sales finance Payout troubleshooting and support Revenue issue investigation Analyze performance of program features and marketing initiatives across: Customer response Usage Conversion Retention Design and execute: A/B and multivariate experiments Statistical testing and analysis Build and maintain metrics and reporting frameworks for program health Respond to ad hoc analytical requests from business leaders Perform deep dives into customer behavior and anomalies Apply analytical techniques such as: Data mining Segmentation Model building Participate in strategic and tactical planning discussions Work Environment Monday–Friday, standard business hours (9am–5pm PST) No overtime, weekend, or holiday requirements Corporate, team-oriented environment High level of collaboration and cross-functional interaction Must-Have Skills Experience working with large-scale, complex datasets Strong analytical mindset with ability to translate business problems into analytical solutions Advanced proficiency in: SQL Tableau Strong problem-solving and data interpretation skills High attention to detail and accuracy Nice-to-Have Skills Experience with SAS Experience in finance or revenue analytics environments Familiarity with experimentation frameworks and statistical modeling Performance Indicators Quality of analytical outputs and deliverables Accuracy of reporting and insights Ability to deliver timely and actionable data insights Effectiveness in supporting financial and revenue processes What Makes This Role Interesting Opportunity to work with large-scale datasets and complex analytical challenges High-impact role supporting revenue and financial decision-making Exposure to both technical analytics and business strategy Collaborative team environment with strong data-driven culture Ability to influence business outcomes through insights and analysis Ideal Candidate Profile Strong background in data analytics, business intelligence, or finance analytics Experience working with large datasets and building scalable reporting solutions Ability to independently manage complex analytical tasks Detail-oriented with a focus on accuracy and quality Effective communicator who can translate data into actionable insights Curious and driven to solve complex business problems

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