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- Tasks: Support the Production Finance team with data analysis and insights for impactful projects.
- Company: Join Netflix, a global leader in entertainment with a culture of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving data-driven decisions in the entertainment industry.
- Qualifications: 3+ years of data experience; finance or data-related degree preferred but not essential.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
This position will play a critical role in supporting the Production Finance team and key cross-functional partners across a range of data-related projects. The ideal candidate thrives in a fast-paced, collaborative environment, has strong data skills, and is passionate about innovation.
Responsibilities include:
- 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.
Qualifications:
- 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.
Skills & Abilities:
- 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
Personal Attributes:
- 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
Data Analyst, EMEA Production Finance New in City of Westminster employer: Netflix, Inc.
Contact Detail:
Netflix, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, EMEA Production Finance New in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples that highlight your ability to extract, clean, and visualise data effectively.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Be ready to discuss your experience with tools like SQL, Google Sheets, and any BI platforms you’ve used. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst, EMEA Production Finance New in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Analyst role. Highlight your data extraction, transformation, and analysis skills, as well as any relevant tools you've used like SQL or Google Sheets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you thrive in collaborative environments. Share specific examples of how you've tackled data-related projects in the past and what innovations you've brought to the table.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in data visualisation tools like Looker or Tableau. If you have experience with Python or R, make sure to include that too! We love seeing candidates who are eager to experiment with new technologies.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Netflix, Inc.
✨Know Your Data Tools
Make sure you brush up on your skills with Google Sheets, SQL, and any BI tools like Looker or Tableau. Be ready to discuss how you've used these tools in past projects, especially in a fast-paced environment.
✨Understand the Role
Familiarise yourself with the responsibilities of the Data Analyst position. Think about how your experience aligns with tasks like data extraction, transformation, and cross-functional collaboration. Prepare examples that showcase your ability to deliver rapid analyses.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be prepared to talk about your experience collaborating with non-technical stakeholders. Highlight instances where you translated complex data needs into actionable insights for others.
✨Be Ready for Problem-Solving
Expect questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've had to troubleshoot data issues or improve data quality. Show them you're proactive and innovative in your approach!
