Analytics Engineer 5 - Enterprise Data

Netflix Services Poland sp. z o.o.; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Netflix is seeking an Analytics Engineer to lead the analytics strategy for Data Health within the Enterprise Data Science & Engineering (DSE) team in Warsaw. You will define measurement frameworks, build models and dashboards, and partner with Engineering Leaders, Product Managers, and other DSE teams to establish visibility into the health of Netflix's data ecosystem.

The role emphasizes analytics and strategy, translating concepts like trust and availability into concrete metrics, and

Qualifications

• Strong ability to define and measure data health metrics.
• Experience building data models and dashboards for executive visibility.
• Ability to influence engineering decisions through insights.
• Strong communication with cross-functional teams.

Responsibilities

• Define data health metrics and measurement frameworks.
• Build data models and dashboards serving as trusted sources.
• Analyze lineage, asset usage, and data lifecycle for improvements.
• Collaborate with Platform/Data teams to ensure telemetry supports health analysis.
• Standardize data quality evaluations across domains.
• Develop metrics to track impact on productivity and data friction.

Skills

SQL

Python

Data analytics

Stakeholder communication

Job description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The Enterprise Data Science & Engineering (DSE) team’s mission is to make Netflix technologists more productive and our enterprise data stronger and more connected. We achieve this through dedicated data products and deep partnerships that leverage our data expertise. We are driving a major initiative to deepen data excellence across the organization. Our focus is on enabling high-quality data foundations that support next-generation tools and internal productivity products, ensuring our data ecosystem remains robust and scalable as the business grows. We are looking for a Analytics Engineer to lead the analytics strategy for Data Health at Netflix. This role leans heavily into analytics and strategy. While engineering skills are required to access and model data, the primary focus is on defining measurement frameworks. You will be a thought leader responsible for conceptualizing what "healthy data" looks like across diverse domains and translating abstract concepts like "trust," "availability," or "compliance" into concrete, actionable metrics. As an Analytics Engineer, you will act as a cross functional lead, partnering with Engineering Leaders, Product Managers, and other DSE teams to establish comprehensive visibility into the state of Netflix’s data ecosystem.

What You Will Do

• Define Data Excellence Metrics: You will lead the development of advanced quality indicators, moving beyond standard availability checks to define complex measures of data health.
• Build the Analytical Foundation: Design and implement the data models and dashboards that will serve as the trusted source for understanding the health of our critical data assets. You will be responsible for visualizing the state of our data landscape for executive leadership.
• Drive Strategy through Insights: Use data to influence engineering behavior and investment. You will analyze trends in lineage, asset utilization, and data lifecycle to identify opportunities for high-impact improvements across Netflix.
• Partner on Platform Capabilities: Collaborate with Data Platform engineering teams to ensure our infrastructure and orchestration tools emit the necessary metadata and telemetry to support sophisticated health analysis.
• Connect the Dots: Work across domain-centric workstreams to standardize how we evaluate data quality, ensuring consistent definitions and standards apply across the company.
• Measure Impact: Develop metrics to track the success of our data initiatives, focusing on improvements in developer productivity, reduction in data friction, and the adoption of standardized tooling.

What We Are Looking For

• Analytical Leadership: You excel at defining metrics in complex spaces. You are adept at asking "what should the data be telling us?" and can build novel measurement frameworks where standard metrics may not yet exist.
• Seniority & Influence: You have experience driving large-scale initiatives. You can communicate complex data concepts to non-technical stakeholders and influence technical teams to prioritize data quality work based on your analytical findings.
• Technical Proficiency: High proficiency in SQL and Python is essential. You are comfortable building your own pipelines and utilizing modern data stack tools to unblock your analysis and prototype solutions.
• Strategic Thinking: You can balance the delivery of immediate analytical insights with the long-term vision of a robust, automated data health ecosystem.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, we want to entertain the world. Whatever your taste, and no matter where you live, we give you access to best‑class TV series, documentaries, feature films and games. Our members control what they want to watch, when they want it, in one simple subscription. We’re streaming in more than 30 languages and 190 countries, because great stories can come from anywhere and be loved everywhere. We are the world’s biggest fans of entertainment, and we’re always looking to help you find your next favorite story.