
Analytics Engineer 5 - Media Science DSE
Required skills
- Analytics Engineer
- Data wrangling
- Data analysis
- Metric visualization
- Data storytelling
- SQL
- Python
- Plotly
- Streamlit
- GenAI
Nice to have
- AI Strategy
- Innovation
Role summary
Netflix is seeking a Senior Analytics Engineer for its Media Science DSE team. This role involves partnering with product managers, business teams, and data science/engineering colleagues to design metrics, develop analytic tools, and conduct analyses to support content media operations. The engineer will help steer global media production strategy, identify innovation opportunities in content creation, and measure their impact. Key responsibilities include developing measurement frameworks for GenAI and other media innovations, creating solutions from prototypes to dashboards, building stakeholder relationships, and collaborating on data sourcing and modeling for the content production workflow. The role requires 8+ years of experience in data wrangling, analysis, visualization, and storytelling, with expertise in SQL, Python, and visualization tools like Plotly and Streamlit. The ideal candidate is a curious, independent self-starter with strong communication and collaboration skills, business acumen, and experience influencing strategic decisions with data.
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.
We are looking for a stunning Senior Analytics Engineer to join the team. In this role, you will partner with product managers, business teams, and other Data Science & Engineering colleagues to design metrics, develop analytic tools, and perform analyses that power content media operations at scale. Your analytical insights will help steer global media production strategy, identify fruitful ways to innovate content creation, and measure the impact of innovation bets – driving scale economies and even better creative storytelling across our diverse content slate.
As a Senior Analytics Engineer in this space, you will:
- Be a strategic thought partner for Content & Business Product PMs, Content Operations teams, and AI Strategy & Innovation leaders, developing and executing new measurement frameworks that quantify how GenAI-powered and other media creation innovations drive improvements in operational efficiency and creative flexibility
- Drive the direction of your work, developing solutions that span from scrappy code and prototype tools to high-visibility dashboards and analyses for Business and Product & Tech leadership
- Establish and maintain strong partnerships with a variety of business, product, and data-oriented stakeholders, working directly with them to introduce and influence data-informed ways of working
- Collaborate with other Analytics Engineers, Data Scientists, and Data Engineers to source and model data from the content production workflow, strengthen our foundational data models, and identify ways to integrate insights that improve creative decision-making throughout the content creation workflow
About you
- 8+ years of demonstrated experience with data wrangling, data analysis, metric visualization, and data storytelling to both technical and non-technical product and business stakeholders
- An expert in the standard tech stack (i.e., SQL, Python) and intuitive dashboard/visualization design using common data visualization tools (i.e., Plotly, Streamlit)
- Eager to dive into new spaces, defining measurement from the ground up for new technology - an exceptionally curious self-starter energized by ambiguity and able to thrive with minimal oversight and process
- Exceptional communication and collaboration skills coupled with strong business acumen
- You independently connect the dots across business problems
- You are known for developing and deepening strong relationships with a wide variety of stakeholders. You have experience partnering closely with executive leadership, with a proven track record of influencing strategic decisions through data
- Netflix culture resonates with you
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.
Job is open for no less than 7 days and will be removed when the position is filled.
Similar roles
Production Manager - Netflix Animation StudiosNetflix · Vancouver, BC · Hybrid
Software Engineer 4 - Member, Commerce & Games EngineeringNetflix · Remote · Remote
Senior Analytics EngineerLightspeed Commerce · Montreal, QC · Hybrid- Senior Analytics Engineer, People Data and InsightsThe New York Times · New York, NY · Hybrid
Sr. Analytics EngineerPelago · New York, NY · Onsite
Analytics Engineer InternKeen Footwear · Portland, OR · Onsite
