As a Senior Analytics Engineer on the Ads Business Analytics & Tools team at Netflix, you will lead the analytics methodology for advertiser-facing reporting and ensure metric consistency across the ad platform by acting as the connective tissue between various modules. Your primary focus will be on expanding the reporting module to include regulatory compliance reporting for international markets and new report types for a global advertiser base. You will work closely with data engineering teams to establish semantic layers, metric methodologies, and analytical data contracts that serve as benchmarks for other modules. With expertise in SQL, Python, and semantic modeling, you will contribute to the Ads Metric Catalog by defining metrics and shaping materialization logic while ensuring cross-system metric consistency through ongoing governance workflows. This role requires a strong understanding of ad-tech complexities and experience with columnar analytics stores and lakehouse architectures, as well as proficiency in API design and workflow orchestration tools like Apache Airflow or Maestro.
Lead the methodology for reporting by defining metrics, source datasets, and calculation methodologies.
Ensure metric consistency across ad platform modules through governance and collaboration with stakeholders.
Extend Ads Metric Catalog by contributing to semantic layer definitions and materialization logic.
Partner closely with Campaign Reporting PM to align product vision with data rigor.
Work with Data Engineering on embedding metric standards in backend rearchitecture.
Provide cross-module support for reviewing data models and validating new metrics.
Participate in cross-functional governance councils to ensure metric consistency.
What we're looking for
Extensive experience in ad-tech with a deep understanding of supply and demand complexities.
Strong technical skills including SQL, Python, semantic modeling, and metric computation.
Ability to drive alignment and governance across federated platform teams without direct authority.
Methodology judgment for ambiguous stakeholder requests and business framing for metrics.
Experience with columnar analytics stores and lakehouse architectures (e.g., Iceberg).
Product-minded approach to metrics, working closely with PMs and DEs on shared definitions.
Communication skills to influence consensus across cross-functional teams.
Market check
Salary context
This
$330,000–$566,000
range sits above
97%
of similar postings on FindRole.
Peer median band
$130,000–$202,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$211,200
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
91 open roles
on FindRole.
Listed pay typically runs
$388,000–$610,000
across 87 roles with salary data.