{
  "job_id": "ck-YEOANyG2ZjuaYAAAAAA==",
  "job_city": "London",
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  "job_title": "Data Analyst/ EMEA Production Finance",
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  "job_country": "GB",
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  "job_location": "London",
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  "employer_name": "Netflix",
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  "job_posted_at": "2 days ago",
  "job_publisher": "GrabJobs",
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  "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.\n\nThe Opportunity\n\nThis position will play a critical role in supporting the Production Finance team and key cross-functional partners across a range of data-related projects.\n\nThe ideal candidate thrives in a fast-paced, collaborative environment, has strong data skills, and is passionate about innovation.\n\nResponsibilities include delivering rapid, high-profile analyses using show-level data to support Public Relations & Government Relations teams in EMEA and globally, as well as providing guidance and support to non-technical stakeholders.\n\nThe position involves quick-turnaround analysis, occasional longer-term strategic projects, and will dual-report to the Production Finance team in the UK and the Production Finance Operations & Innovation team in Los Angeles.\n\nResponsibilities\n• Data Extraction & Transformation: Extract, clean, and transform data from core systems such as the Global Spend Report (GSR) data model, Payroll Accounting Systems (PAS), and the Netflix Production Finance HUB. Aggregate and correlate data to accurately report on job counts, vendor spend, and location spend across multiple EMEA markets.\n• Cross-Functional Collaboration: Work closely with stakeholders including Production Finance, Public Relations & Government Relations (PRGR), Finance & Strategy (F&S), Data Science & Engineering, and Studio Tech Solutions. Act as a proactive thought partner, translating complex business needs into actionable data solutions.\n• PRGR Data Support: Deliver validated production finance data to support PRGR teams, ensuring data coverage, accuracy, and completeness for global reporting. Identify optimal data sources and continuously improve data quality and model integrity.\n• Ad Hoc & Strategic Analysis: 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.\n• Technical Development & Workflow Improvement: Develop expertise in the GSR data model, identifying data inconsistencies and recommending improvements to data collection and validation processes. Explore and utilize data tables owned by adjacent business partners to enhance data coverage and integration.\n• Data Visualization & Reporting: 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.\n• System & Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.\n• Production Finance Team Support: Guide Production Finance executives in Europe and Asia on data access, analysis, and reporting. Respond to requests for data pulls, insights, and custom analyses as needed.\n• Data Quality & Issue Resolution: Monitor data integrity and troubleshoot urgent data coverage or quality issues, ensuring the highest standards of accuracy and completeness.\n• Documentation & Knowledge Sharing: Maintain clear documentation of data processes, workflows, and system configurations. Share best practices and learnings with the broader team to foster continuous improvement.\n\nQualifications\n\nEducation & Experience\n• 3+ years of experience working with data\n• A degree in finance or data-related fields is helpful but not required.\n• Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred but not required.\n• Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.\n\nSkills & Abilities\n• Advanced proficiency in Google Sheets\n• Advanced proficiency in SQL, with strong knowledge of database infrastructure\n• Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms\n• Working knowledge of database concepts and data pipelines\n• Strong data analysis and data visualisation skills\n• Experience with Python, R, or another statistical programming language is preferred\n\nPersonal Attributes\n• Must thrive in a fast-paced and collaborative team environment\n• Flexible and open to different perspectives\n• Curious, with a focus on generating results\n• Must be self-motivated, disciplined, highly organized, and able to prioritize tasks\n• Exhibit the highest personal and professional standards of integrity and ethics.\n• Passion for innovation\n\nInclusion 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.\n\nWe 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.\n\nOriginal job Data Analyst/ EMEA Production Finance posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.",
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  "employer_website": "https://about.netflix.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774483200,
  "job_posted_at_datetime_utc": "2026-03-26T00:00:00.000Z"
}