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 launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team: The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience. As a Senior Analytics Engineer, you’ll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You’ll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space. This is an exciting opportunity to be an early member of this new business area for Netflix! Responsibilities - Partner with Data Engineers to design and implement robust data models and pipelines that enable richer, faster, and more accurate analysis. - Design, build, and maintain scalable, self-service analytics tools and data products to drive adoption across the business. - Develop, define, and maintain key metrics and dashboards for executive and business-critical reporting. - Analyze and interpret data to understand and improve the efficiency of the ads marketplace, providing recommendations to optimize ad delivery, performance, and revenue. - Develop and maintain observability and monitoring solutions for machine learning models, ensuring model performance, reliability, and early detection of anomalies or drift. - Enable A/B testing and experimentation by building robust data pipelines and providing accurate experiment tracking. - Proactively identify gaps and opportunities for innovation in analytics engineering, and drive initiatives to address them. - Experiment with and evaluate new technologies, including Generative AI solutions, to improve analytics, reporting, and data accessibility. - Translate complex data insights and technical concepts into clear, actionable recommendations for technical and non-technical stakeholders. Qualifications - A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 5+ years of experience in data engineering, data science, analytics engineering, or a similar data field. - Proficiency in SQL and at least one programming language (Python preferred). - Experience with modern data warehousing (e.g., Redshift, BigQuery, Snowflake). - Familiarity with data modeling, ETL frameworks, and analytics tools. - Strong communication skills and ability to translate business needs into technical requirements. - Comfortable with ambiguity; able to thrive with minimal oversight and process - Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location. 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.

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. About the Team The Finance Analytics team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions that empower Finance, Accounting/Controllership, and Treasury stakeholders to make data-driven decisions. We bring deep domain knowledge spanning accounting, business controllership, SOX compliance, and internal audit - ensuring our pipelines, data models, and certified financial datasets (e.g., OmniLedger/ABOR) meet the rigor and traceability demands of a regulated financial environment. This role supports the data layer efforts that underpin these datasets and the controls/observability needed to keep them reliable. The team partners closely with Finance, Accounting, Treasury, and Product Engineering to ensure financial data is complete, reconciled, and audit-ready - supporting core workflows like month-end close, safeguarding, and reporting at scale. What You'll Be Doing: This is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). - Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery. - Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights. - Communicate with engineering teams to fix data gaps for downstream data users. - Take initiative and accountability for fixing issues anywhere in the stack. - Perform reconciliation-style validation across sources (internal systems and/or external statements/vendors), identifying discrepancies and driving fixes with upstream owners. - Examples: - Generate business value: Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly). - Build curated data models that streamline ledger verification and accounting workflows, helping finance teams accelerate time-to-close for new product launches. - Leverage deep understanding of the reconciliation engine alongside statistical and data expertise to propose engineering improvements that drive faster execution and higher match accuracy. - Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics. - Collaborate cross-functionally with Finance/Accounting to translate requirements into durable data models, and with upstream engineering teams to improve source data contracts. - Examples: - Focus on outcomes not tools: Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value. - Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra. - Stand up a framework for debugging AI skills/data apps internally, enabling other non-tech stakeholders to quickly add value. - Use established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority. - Examples: - Ensure financial correctness & reliability: Implement strong data quality guarantees (tests, monitoring, alerting, SLAs) and partner with stakeholders to define "done" for financial correctness. Improve reliability and operational excellence for critical pipelines (incident response, retro/action items, performance tuning, cost optimization). What We Look For in You: - Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas). Experience designing curated datasets for analytics/reporting with clear definitions and change management. - Proficiency in advanced SQL techniques for data transformation, querying, and optimization. - Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks. - Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams. - Strong cross-functional communication skills and ability to work effectively with Finance/Accounting partners and navigate ambiguity. - Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar. Experience orchestrating data workflows with Airflow (DAG design, scheduling patterns, backfills, operational ownership). - Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly). - Familiarity with version control (GitHub), CI/CD, and modern development workflows. - Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks. Hands-on experience with Snowflake and/or Databricks in production environments. - Track record of building for correctness and reliability: data quality frameworks, monitoring/alerting, incident response, and stakeholder-facing SLAs. - Ability to understand and address business challenges through analytics engineering. - Familiarity with statistics and probability. - Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases. - Demonstrate the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Nice to Haves: - Experience with financial reconciliation, controllership/accounting reporting, audit/SOX-style controls, or regulated environments. - Familiarity with ledger/event-based financial models and concepts like double-entry accounting. - Experience with streaming/event-driven systems (e.g., Kafka/Kinesis) and/or near-real-time data validation patterns. - Experience with table replication/synchronization patterns between lakehouse and warehouse environments. - Fintech/crypto domain experience. - New York City location presence preferred. The role is remote-friendly but we prefer candidates who can commute to our NYC office for stakeholder meetings and project work as needed. Job ID: P76160 Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)). Annual base salary range (excluding equity and bonus): $180,370—$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal OpportunityCoinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI DisclosureFor select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

• Own, operate, and maintain the architecture and infrastructure of our data stack (e.g. BigQuery, dbt, Fivetran) • Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible • Partner with GTM, Self-Serve, Marketing, Finance, and BizApps (and other stakeholders) to understand their data needs and identify places where the analytics stack can improve on what they’re doing • Become the go-to expert on our data pipeline, data tools, and what our data means • Create data processes and standard operating procedures that leverage AI agent skills and rules • Create and own best practices for version control, documentation, testing, and other data-related areas

• Design scalable and reliable data marts and transformation processes that support analytics and reporting needs • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions • Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets • Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting • Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems • Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement • Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability