Netflix
Analytics Engineer (L4) - Corporate Finance
Netflix, Los Gatos, California, United States, 95032
Overview
Netflix is a leading entertainment service with over 300 million paid memberships in over 190 countries. Members enjoy TV series, films and games across a wide variety of genres and languages, with flexible viewing and plan options. Our Corporate Finance team, part of Finance Data Science and Engineering (DSE), partners with finance stakeholders to analyze key metrics, surface actionable insights, and drive business value. As Netflix grows, advanced analytics in Finance plays a critical role in uncovering deeper insights and identifying opportunities for impact. You’ll play a key role in shaping the future of advanced analytics within Corporate Finance at Netflix, helping to unlock new value and drive strategic decision-making through data. Learn more from our blog on how Finance AEs drive the business forward through data. In This Role, You Will
Partner with Analytics Engineering, Data Science, Data Engineering, and cross-functional Finance teams to uncover data opportunities where advanced analytics (e.g., forecasting, classification) can provide actionable insights. Lead advanced analytics projects in key Corporate Finance areas (e.g., spend classification modeling, forecasting general ledger categories, and other opportunities in procurement, operations, and strategy). Create and curate robust datasets and data pipelines from structured finance data sources (revenue, expenses, accounting journal entries, vendor invoices) to unlock insights and identify patterns. Productionize analytics models in partnership with Data Science and Data Engineering teams, focusing on practical, scalable solutions. Help upskill the team on when and how to use classical machine learning and modeling techniques, and when simpler analytics approaches are more appropriate. Technical Skills
Demonstrated ability to write clean, readable, and impactful SQL code. Strong proficiency in Python (including notebooks and modeling skills). Advanced SQL skills for analytics data processing (e.g., splitting data into train/eval/test sets). Experience with AI tools for automation is a plus. Familiarity with DBT or other semantic data modeling tools for strong data foundations. What Sets You Apart
3+ years of experience in analytics engineering, data science, or a similar data-focused role, ideally with a focus or interest in finance. Solid statistical foundation or a strong interest in upskilling in statistics and classical machine learning. Examples of applying classical ML techniques to real-world problems, especially in the finance domain, are a strong plus. Excellent communication skills, with the ability to translate data insights into clear, actionable recommendations for technical and non-technical stakeholders. Collaborative approach and a passion for continuous learning and innovation. Compensation and Benefits
Our compensation structure consists solely of an annual salary; we do not offer bonuses. You choose each year how much of your compensation you want in salary versus stock options. We determine your compensation within the market range based on factors such as job family, background, skills, and experience. The range for this role is $170,000 - $720,000. 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 accounts, flexible spending accounts, family-forming benefits, and life and serious injury benefits. We offer paid leave programs; full-time employees accrue time off for vacation, holidays, and sick leave. See more detail about our Benefits here. Our Culture and Equity
Netflix has 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 need an accommodation during the hiring process, please contact your recruiting partner. We are an equal opportunity employer and celebrate diversity. 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.
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Netflix is a leading entertainment service with over 300 million paid memberships in over 190 countries. Members enjoy TV series, films and games across a wide variety of genres and languages, with flexible viewing and plan options. Our Corporate Finance team, part of Finance Data Science and Engineering (DSE), partners with finance stakeholders to analyze key metrics, surface actionable insights, and drive business value. As Netflix grows, advanced analytics in Finance plays a critical role in uncovering deeper insights and identifying opportunities for impact. You’ll play a key role in shaping the future of advanced analytics within Corporate Finance at Netflix, helping to unlock new value and drive strategic decision-making through data. Learn more from our blog on how Finance AEs drive the business forward through data. In This Role, You Will
Partner with Analytics Engineering, Data Science, Data Engineering, and cross-functional Finance teams to uncover data opportunities where advanced analytics (e.g., forecasting, classification) can provide actionable insights. Lead advanced analytics projects in key Corporate Finance areas (e.g., spend classification modeling, forecasting general ledger categories, and other opportunities in procurement, operations, and strategy). Create and curate robust datasets and data pipelines from structured finance data sources (revenue, expenses, accounting journal entries, vendor invoices) to unlock insights and identify patterns. Productionize analytics models in partnership with Data Science and Data Engineering teams, focusing on practical, scalable solutions. Help upskill the team on when and how to use classical machine learning and modeling techniques, and when simpler analytics approaches are more appropriate. Technical Skills
Demonstrated ability to write clean, readable, and impactful SQL code. Strong proficiency in Python (including notebooks and modeling skills). Advanced SQL skills for analytics data processing (e.g., splitting data into train/eval/test sets). Experience with AI tools for automation is a plus. Familiarity with DBT or other semantic data modeling tools for strong data foundations. What Sets You Apart
3+ years of experience in analytics engineering, data science, or a similar data-focused role, ideally with a focus or interest in finance. Solid statistical foundation or a strong interest in upskilling in statistics and classical machine learning. Examples of applying classical ML techniques to real-world problems, especially in the finance domain, are a strong plus. Excellent communication skills, with the ability to translate data insights into clear, actionable recommendations for technical and non-technical stakeholders. Collaborative approach and a passion for continuous learning and innovation. Compensation and Benefits
Our compensation structure consists solely of an annual salary; we do not offer bonuses. You choose each year how much of your compensation you want in salary versus stock options. We determine your compensation within the market range based on factors such as job family, background, skills, and experience. The range for this role is $170,000 - $720,000. 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 accounts, flexible spending accounts, family-forming benefits, and life and serious injury benefits. We offer paid leave programs; full-time employees accrue time off for vacation, holidays, and sick leave. See more detail about our Benefits here. Our Culture and Equity
Netflix has 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 need an accommodation during the hiring process, please contact your recruiting partner. We are an equal opportunity employer and celebrate diversity. 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.
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