Analytics Engineer 5 - Ads Reporting & Metric Standards

Netflix
USA - Remote$330k – $566kPosted 27 March 2026

Job Description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Ads Business Analytics & Tools team builds the analytical foundation that powers the Ads business — metrics, semantic models, analytic tools, and governed data products. We own the Ads Metric Catalog (AMC), the semantic layer that defines every core Ads metric once and materializes it across all analytical surfaces. Our goal is to help Netflix scale its advertising platform with trust and clarity. We're looking for a Senior Analytics Engineer to own the analytics foundation for advertiser-facing reporting and help drive shared metric consistency across the ad platform. The reporting module is the primary focus. It's the most visible surface on the ad platform — what advertisers see, what gets audited, and what sets the bar for how every other module approaches metrics. The module is growing as we expand into regulatory compliance reporting for international markets, partner-built reports, and new report types for an increasingly global advertiser base. You'll own reporting's analytics foundation — the semantic layer, metric methodology, and analytical data contracts — and in doing so, establish a reference implementation that other modules can follow. As the platform scales, the accuracy and consistency of what advertisers see in reporting is central to the product experience. The ad platform backend is also evolving quickly, with new modules being developed that often share metrics with the reporting system. Netflix's ad platform powers campaign management, delivery, yield analytics, billing, and reporting through a suite of interconnected modules — and that suite keeps expanding. This role helps ensure metric definitions stay consistent across all of them. You'll work at the intersection of our Ads Metric Catalog and the platform's operational metric computation layer. AMC defines metrics once on the analytical side and materializes them across dashboards, BI tools, and reporting surfaces. The ad platform has its own computation layer that powers real-time delivery, pacing, and reporting. Both consume the same underlying data but serve different latency and computation requirements — making cross-system metric consistency an ongoing, hands-on effort. What You Will Do Go deep on reporting. Serve as the dedicated Analytics Engineer for the platform's campaign reporting capabilities — default reports, new report builds (e.g., billed cost reports), partner-built reporting modules (e.g., regulatory compliance reporting for international markets), and the data models that power them. This module is expanding, and the scope will grow with it. You'll work closely with the Campaign Reporting PM on prioritization and roadmap, and with DE on schemas and data contracts. Go wide on metric standards. Act as the steward for cross-module metric consistency in partnership with Product, DE, Finance, and other module owners. Reporting is the reference implementation — your metric definitions, source dataset choices, and calculation methodologies serve as the benchmark against which other modules align. That said, the platform is evolving, and new modules will bring new questions about how metrics should be defined. Part of the job is working through those questions with module teams as they c ... (truncated, view full listing at source)
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