Staff Data Analyst

Crunchyroll, LLC • Los Angeles, CA

2d • Hybrid

About The Position

In the role of Staff Data Analyst, Content Analytics, you will report to the Manager, Content Analytics.
We are considering applicants for the following location(s): Los Angeles, CA, US
As a Staff Data Analyst, you will lead high-impact analytical work that shapes Crunchyroll’s content strategy - from greenlight to presentation to engagement and retention. You’ll define measurement frameworks, build certified data assets, and partner closely with Content Strategy, Programming, Product, and Licensor teams to deliver insights that guide multi-million-dollar decisions. This role operates with broad autonomy and plays a key part in raising analytical rigor, strengthening data quality, and establishing standards across the Fan Experience (FX) Team.

Requirements

• You have 12+ years of experience in content, product, or streaming analytics with a track record of solving highly complex, ambiguous problems that influence org-level decisions.
• You possess expert SQL and strong Python/PySpark skills, with hands-on experience working in Databricks or similar lakehouse environments.
• You have deep experience with large-scale viewership, subscription, or payments datasets and have built certified datasets or BI-ready data assets.
• You possess strong experimentation and causal inference skills including test design, metric definition, and analysis of A/B results.
• You have fluency with Tableau or similar BI tools and can design dashboards that scale across stakeholder groups.
• You embody domain expertise in streaming/content analytics including attribution modeling, content normalization, and understanding how content impacts user behavior and retention.

Responsibilities

• Lead content measurement frameworks: define north-star KPIs, normalization methods, and comparable title metrics to drive consistent decision-making across regions, seasons, modalities, and content types.
• Build certified, reusable data assets: develop durable datasets in Databricks that standardize title/season/episode joins and metadata keys, ensuring high-quality, consistent downstream analysis.
• Advance understanding of content impact: quantify title-driven acquisition, engagement, and retention; model content-attributed churn risk; and develop portfolio-level diagnostics to inform slate and localization decisions.
• Own and evolve attribution & user-journey insights: maintain and improve viewership attribution logic to map discovery → click → watch → return behaviors, enabling clear readouts on how users discover and engage with titles.
• Drive experimentation and presentation measurement: design success metrics, partner on eventing, and analyze experiments for homepage rails, thumbnails, recommendations, language selectors, and other discovery/presentation surfaces.
• Deliver decision assets for Content & Licensors: produce clear analyses, dashboards, and reusable frameworks for greenlight, localization ROI, curation, licensor narratives, and internal/external self-serve tooling.
• Elevate analytics craft & standards: document methods, set QA and analysis standards, mentor analysts across VODAX, and support hiring to strengthen long-term analytics capability.

Benefits

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees