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Data Analyst, EMEA Production Finance

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Netflix

Dec 3

  • Job
    Full-time
    Mid Level
  • Data
  • London

AI generated summary

  • You need 3+ years of data experience, advanced skills in SQL and Google Sheets, familiarity with BI tools, and strong data analysis skills. Experience in production finance or accounting is preferred.
  • You will extract, clean, and analyze data; collaborate with stakeholders; deliver insights; develop reports; improve workflows; troubleshoot issues; and document processes for production finance support.

Requirements

  • 3+ years of experience working with data
  • A degree in finance or data-related fields is helpful but not required.
  • Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred but not required.
  • Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.
  • Advanced proficiency in Google Sheets
  • Advanced proficiency in SQL, with strong knowledge of database infrastructure
  • Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms
  • Working knowledge of database concepts and data pipelines
  • Strong data analysis and data visualisation skills
  • Experience with Python, R, or another statistical programming language is preferred
  • Must thrive in a fast-paced and collaborative team environment
  • Flexible and open to different perspectives
  • Curious, with a focus on generating results
  • Must be self-motivated, disciplined, highly organized, and able to prioritize tasks
  • Exhibit the highest personal and professional standards of integrity and ethics.
  • Passion for innovation

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • System & Tool Experimentation: Proactively engage in self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.
  • 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.
  • Data Quality & Issue Resolution: Monitor data integrity and troubleshoot urgent data coverage or quality issues, ensuring the highest standards of accuracy and completeness.
  • 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.

FAQs

What is the primary role of the Data Analyst in the EMEA Production Finance team?

The primary role involves supporting the Production Finance team and key cross-functional partners by delivering data analyses, guiding non-technical stakeholders, and working on both ad hoc and longer-term strategic projects.

What qualifications are required for this position?

The ideal candidate should have 3+ years of experience working with data, proficiency in Google Sheets and SQL, and familiarity with Business Intelligence tools like Looker or Tableau. A degree in finance or data-related fields is helpful but not required.

Is experience in the Entertainment Industry necessary?

While experience in Production Finance, Production Accounting, or other areas of the Entertainment Industry is preferred, it is not required.

What technical skills are necessary for a Data Analyst in this role?

Advanced proficiency in Google Sheets and SQL is essential, along with familiarity with Business Intelligence tools and a working knowledge of database concepts. Experience with programming languages like Python or R is preferred.

How does the role involve collaboration with other teams?

The Data Analyst will work closely with various stakeholders including Production Finance, Public Relations & Government Relations (PRGR), Finance & Strategy (F&S), and others to translate complex business needs into actionable data solutions.

What type of analysis will the Data Analyst be expected to perform?

The Data Analyst will engage in rapid-turnaround ad hoc analyses as well as longer-term strategic projects that include show-level spend analysis, vendor breakdowns, trend analysis, and workflow optimization.

What tools will be used for data visualization?

The Data Analyst will use data visualization tools such as Google Sheets, Looker, Tableau, or similar platforms to analyze structured datasets and generate reports.

How does the company support diversity and inclusion?

Netflix is an equal-opportunity employer that values diversity and strives to ensure a meaningful interview experience for all candidates, without discrimination based on various factors such as race, gender, age, or disability.

What personal attributes are ideal for candidates applying for this role?

Ideal personal attributes include being self-motivated, disciplined, highly organized, curious, and able to thrive in a fast-paced and collaborative environment while maintaining high standards of integrity and ethics.

Will there be opportunities for professional development in this role?

Yes, the role encourages self-training and experimentation with new tools and technologies to improve analytics workflows and drive innovation.

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Netflix

Where you come to do the best work of your life. Follow @WeAreNetflix on Twitter, IG, Facebook, & Youtube for more

Entertainment & Media
Industry
10,001+
Employees
1997
Founded Year

Mission & Purpose

Netflix is a leading global streaming service that offers a vast library of movies, TV shows, and original content to subscribers. Their primary goal is to provide entertainment and storytelling that captivates and resonates with audiences worldwide, transcending borders and demographics. Netflix's fundamental objective is to be the premier destination for viewers seeking diverse and high-quality content, fostering a culture of binge-worthy narratives and pushing the boundaries of digital entertainment.