Data Analyst, Production Finance Operations & Innovation

Netflix Netflix · Big Tech · Los Angeles, CA +1 · Data & Insights

Netflix is seeking a Data Analyst to support the Production Finance Operations & Innovation team. The role involves extracting, cleaning, and transforming data from various systems, performing ad hoc and strategic analyses, and creating data visualizations and reports. The ideal candidate will have advanced SQL and G Sheets proficiency, experience with Python/R, and strong analytical and communication skills.

What you'd actually do

  1. Extract, clean, and transform data from core systems, including the Global Spend Report data model, Payroll Accounting Systems, and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across global markets.
  2. Work closely with stakeholders, including Production Finance, Public Relations & Government Relations, Finance & Strategy, Data Science & Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.
  3. Engage in both rapid-turnaround ad hoc analyses (e.g., show-level spend, vendor breakdowns, cast and crew location analytics) and longer-term strategic projects (e.g., trend analysis, workflow optimization). Provide actionable insights and clear reporting to support decision-making.
  4. Develop expertise in the existing data models, identify data inconsistencies, and recommend improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.
  5. Analyze structured datasets to develop metrics, dashboards, and trend reports using data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms. Present insights in a clear, accessible manner to both technical and non-technical stakeholders.

Skills

Required

  • Advanced SQL proficiency
  • Advanced G Sheets proficiency
  • Python/R or other statistical programming languages
  • Data analysis
  • Data visualization
  • Business Intelligence tools (Looker, Tableau, or similar)
  • Database concepts
  • Data pipelines
  • Written and verbal communication skills
  • Interpersonal skills

Nice to have

  • Production Finance, Production Accounting, or other Entertainment Industry areas
  • Data Science
  • Analytics Engineering

What the JD emphasized

  • Advanced SQL proficiency and database infrastructure knowledge required
  • Advanced G Sheets proficiency required
  • Experience with Python/R or other statistical programming languages is required