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Sr. Manager Revenue Analytics & Data
Samsung Ads
- New York, New York, United States
- New York, New York, United States
Über
This role will re-engineer existing data processing workflows into proper database-layer solutions using Snowflake and dbt, creating clean, governed, and reusable datasets that serve as the single source of truth for revenue across the business. Beyond infrastructure, this person must develop a deep understanding of our monetization, yield optimization, and revenue mechanics to design data models that accurately capture business logic and serve the needs of finance, sales, and executive leadership.
The ideal candidate combines strong data engineering fundamentals (SQL, Python, Snowflake, dbt) with domain expertise in monetization, yield management, or revenue operations. The position requires someone comfortable inheriting complex legacy workflows, methodically untangling them, and rebuilding them correctly without breaking downstream reporting that the business relies on daily. Excellent communication skills are essential, as this person will be the bridge between technical data infrastructure and commercial revenue stakeholders.
Audit and re-engineer existing data processing workflows into Snowflake/dbt, migrating visual transformations to proper SQL-based data models on the warehouse layer
Own and maintain revenue source-of-truth dashboards, ensuring accuracy, timeliness, and alignment with finance and yield teams
Design dimensional data models for monetization and yield data that are BI-tool agnostic
Build and maintain automated data pipelines and ensure consistent, scheduled refreshes
Partner with Yield and Pricing to translate revenue logic into accurate data transformations
Create curated, documented datasets that other teams can consume for their own reporting and analytical needs without relying on tribal knowledge
Implement data quality monitoring, validation checks, and alerting for revenue-critical pipelines
Provide ad-hoc analytical support for monetization strategy questions
Document all data models, transformation logic, and business rules so that institutional knowledge is captured and maintainable by others
BA/BS required
8+ years of relevant experience
Strong SQL skills with experience writing complex transformations and building data models from raw sources
Familiarity with Tableau Cloud or similar enterprise BI platforms
Experience with Snowflake, BigQuery, or similar cloud data warehouses
Experience with dbt or equivalent transformation frameworks
Proficiency in Python for data processing, automation, and pipeline development
Experience migrating legacy BI workflows to modern data stack architectures
Experience with workflow orchestration (Airflow, Dagster, or similar)
Strong communication skills with ability to partner with finance, sales, and commercial teams
Comfortable inheriting legacy systems and methodically reverse-engineering business logic
Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $165,000 ~ $215,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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