Analytics Engineer 5 - Legal, Amsterdam

Job Summary

The Netflix Content Enterprise Data Science&Engineering team delivers metrics and science that help scale and innovate Netflix-wide workflows. We are looking for an Analytics Engineer to support the Legal organization. In this role you will partner with Product Managers, Designers, Engineers and Legal business teams to design metrics, develop analytic tools, build and evaluate models, and perform analyses that power Legal operations at scale.Responsibilities

Be a strategic partner for Legal Product PMs, Engineers, and Legal teams, developing and executing new measurement frameworks to assess the effectiveness and business impact of product solutions. Lead and collaborate on the development of new prototypes and product offerings, often LLM‑based, to help scale the pace and quality of insights surfaced to Legal team decision‑makers.Establish and maintain strong partnerships with business and product stakeholders, working directly with them to introduce and influence data‑informed ways of working. Present analytical methodology and findings effectively to both technical and non‑technical partners, including C‑level company leadership.Collaborate with other Engineers to source data from new systems, strengthen foundational data models, and accelerate data analysis. Qualifications

7 years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non‑technical product and business stakeholders. Expertise in SQL, Python and intuitive dashboard/visualization design using common data visualization tools such as Tableau, Plotly, and Streamlit.Hands‑on experience with AI coding tools like Claude Code or Cursor. Experience building or maintaining ML models and/or designing LLM or agentic‑based workflows at scale. Exceptional communication and collaboration skills coupled with strong business acumen. Ability to operate effectively in ambiguity and evolving environments; able to take ownership and work independently with limited guidance when needed.Will work primarily in Central European time zone with the ability to meet with Pacific time zone colleagues during morning/evening overlaps. EEO Statement

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.

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