Data Analyst, Production Finance Operations & Innovation

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Production Finance Operations & Innovation (O&I) team is seeking a Data Analyst to support the Production Finance team and cross-functional partners on various data projects. O&I facilitates informed decision-making by providing analysis to stakeholders, including senior leadership and other departments. The role frequently involves quick-turnaround ad hoc reports, as well as long-term analyses, strategic thinking, and stakeholder management.

The ideal candidate possesses strong data skills and a passion for innovation, with an interest in Production Finance or the Entertainment industry generally. This position demands the ability to succeed in a highly collaborative, fast-paced setting, a passion for data work, and the ability to learn quickly. 

Responsibilities:

Data Extraction & Transformation: 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.

Cross-Functional Collaboration: 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.

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 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.

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 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 issues affecting data coverage or quality, 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:

Education & Experience:

• A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar)

• 5+ years of experience in data science, analytics engineering, or a similar data field.

• Experience in Production Finance, Production Accounting, or other Entertainment Industry areas preferred

• Ability to collaborate with various teams and stakeholders, work with business end-users to understand data and analysis needs.

Skills & Abilities:

• Advanced SQL proficiency and database infrastructure knowledge required

• Advanced G Sheets proficiency required

• Experience with Python/R or other statistical programming languages is required

• Excellent data analysis and visualization skills

• Familiarity with Business Intelligence tools such as Looker, Tableau, or similar platforms

• Working knowledge of database concepts and data pipelines

• Strong written and verbal communication skills

• Strong interpersonal skills, with the ability to build relationships with key stakeholders

• Ability to communicate effectively with global teams

• Ability to show flexibility in re-prioritizing as situations arise throughout the day

• Detail-oriented but also interested in understanding the bigger picture

Other 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

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion 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.

We 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.