• Build and maintain a data warehouse environment to support analytics, reporting, and trend analysis. • Design, develop, and implement ETL processes to extract and transform data from servers and external sources. • Populate data warehouses ensuring data integrity, quality, and consistency. • Test and validate ETL workflows and data pipelines for performance and reliability. • Design, build, and test end-to-end ETL and data integration solutions across multiple platforms. • Develop automated data pipelines. • Mine data for insights and conduct data exploration, cleansing, and transformation activities.

• Drive the analytics strategy for programmatic signals across Netflix Ads • Design and implement frameworks to measure, optimize, and report on DSP adoption, audience targeting effectiveness, and the ROI of bidstream signals • Build scalable, adaptable dashboards and data models to surface insights on DSP performance • Partner deeply with cross-functional teams to align on business requirements, technical execution, and measurement standards • Act as a subject matter expert on programmatic signals and DSP analytics

The Role We're looking for an Analytics Engineer to partner closely with our marketing team and turn data into a strategic advantage. You'll collaborate with marketers to translate their goals into actionable data solutions and ensure tracking is accurate across the customer journey. You'll also build and maintain the data models and pipelines that power campaign targeting, measurement, and pioneer how we do experimentation in the MarTech space. You'll help shape how we understand our users by creating unified views and enabling segmentation and attribution. What You'll Do - Data foundation and modelling - Develop, improve and apply a data warehouse modelling strategy for marketing-related data, including dimensional modelling and support contributors - Collaborate with product engineering teams to instrument the product, ensuring we are capturing the right data points required to run marketing campaigns and measure performance of said campaigns. - Maintain data models of our users combining various sources of data into a single unified and ready to be used view - Build or contribute to audience segmentation models to improve campaign performance - Model metrics used for tracking performance of campaigns - Build data pipelines to ensure - Marketing and analytics platforms have access to the right data, at the right time. - Bring data back into Linktree’s warehouse for analytics and reporting. - Analytics & Reporting - Build or contribute to attribution models to understand the impact of marketing campaigns. - Establish experimentation (A/B testing) practices for all types of marketing campaigns to increase confidence in reported impact. - Build dashboards to monitor the health and performance of marketing efforts What You Bring - Experience with data integration tooling such as CDPs, reverse ETLs, Airflow, etc. - Data modelling experience, i.e. advanced SQL knowledge as well as experience with DBT or other data transformation tools. - In-depth experience with experimentation platforms, with emphasis on measuring the effectiveness of marketing campaigns. - Experience working with event-based product analytics tools, such as Amplitude, Snowplow, Segment, etc. - Project and stakeholder management experience to coordinate across marketing, product engineering and data teams. P.S. If you don’t tick every box in this listing, please don’t rule yourself out. We take pride in inclusion and hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button! Our Story We’re on a mission to empower anyone to curate, grow, and monetize their digital universe. We created the “link in bio” category — and we’re just getting started. From creators, artists, and entrepreneurs to global brands, we’re redefining how people connect with their communities, showcase their content and promote products — all in one link. Today, a community of 70+ million use Linktree, including icons like Adidas, TikTok, the UN Environmental Program, The NFL, Manchester United, World Central Kitchen, Sabrina Carpenter, Olivia Rodrigo, and Selena Gomez. With 48,000 new accounts created every day, Linktree is the fastest-growing leader in our space. We’ve teamed up with some of the world’s biggest platforms including TikTok, Snap, YouTube, GoFundMe, Spotify, Google, Stripe, Reddit, Laylo, and Kajabi, to unify Linkers’ digital spaces, and we partner with retail brands Amazon, Nike, Nordstrom, Target, Sephora, Vuori, and more to share products they love. We’re a tight-knit, passionate team building best-in-class tools that make online presence simple, powerful, and yours. If you're excited by the idea of shaping a new category, setting the standard, and making space for everyone to be seen and succeed, we’d love to meet you. Where and How We Work We're a global, diverse team spread across continents with offices in London, Los Angeles, Melbourne, and San Francisco. We offer autonomy in how you structure your days and weeks. While we’re mindful of time zones and occasionally collaborate outside the typical 9–5, we lean into async work to keep things flowing. Our culture is family-friendly and video-casual where kids, pets, and delivery drivers are welcome. How we’ll help you thrive Our approach to benefits considers the whole person and the unique contributions they bring to Linktree. We want the experience at Linktree to be one that enables people to truly thrive so we can Go Further Together (one of our values). Some ways we support you: - An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet insurance, home office set-up - the choice is yours! - 100% coverage (and 80% for your dependents) of your monthly premiums for medical, dental, vision, disability and life insurance for US-based employees. - Employer contribution towards your retirement. - Generous time off for vacation, holidays, parental leave, volunteer time, and other categories. - Employee stock option program - we want each and every employee to share in the company’s success. At Linktree, we believe in promoting a culture that celebrates unique backgrounds, talents, and experiences, and we’re proud to be an equal opportunity workplace. We are creating an inclusive workplace where every individual feels valued, respected, and has equal opportunities to thrive. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience. If you require accommodations to fully participate in our opportunities, please don't hesitate to reach us at talent@linktr.ee – your needs are important to us.

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 Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. 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. We are seeking a Senior Analytics Engineer to lead the development and optimization of programmatic signals analytics for Netflix’s global Ads business. In this highly impactful role, you will build the foundational metrics, dashboards, and analysis frameworks that drive how we measure, understand, and enhance DSP adoption, audience targeting, and ROI across our programmatic ecosystem. You will collaborate closely with product, engineering, finance, and ad operations teams to inform business-critical decisions around signal strategy, inventory quality, and fraud prevention. As a subject matter expert, you will play a pivotal role in shaping the analytics vision for programmatic advertising—empowering Netflix to optimize ad delivery, maximize revenue, and ensure transparency and trust with our partners and members worldwide. Your insights and technical leadership will directly influence the future of data-driven advertising at Netflix. In this role, you will: - Drive the analytics strategy for programmatic signals across Netflix Ads, designing and implementing frameworks to measure, optimize, and report on DSP adoption, audience targeting effectiveness, and the ROI of bidstream signals exchanged with demand-side platforms. - Build scalable, adaptable dashboards and data models to surface insights on DSP performance, targeting accuracy, informing both product optimization and monetization strategies for programmatic advertising. - Partner deeply with cross-functional teams—including Product, Engineering, Finance, Data Science, and Ad Operations—to align on business requirements, technical execution, and measurement standards for DSP integrations, signal taxonomy, and fraud prevention. - Act as a subject matter expert on programmatic signals and DSP analytics, pioneering scalable approaches to targeting measurement, inventory quality assessment, and fraud detection—driving innovation, transparency, and long-term business value for Netflix Ads. We are looking for: - Extensive experience in programmatic adtech analytics, with a strong understanding of programmatic advertising and large-scale streaming ecosystems. - Communication superpower — the ability to communicate, influence, and connect the dots between insights and actions across a variety of stakeholders. - Fluency in SQL, workflow orchestration tools like Apache Airflow, and at least one analytics and scripting language like Python. - Mentors, brainstorms with, and enables others, especially within your functional area. - Actively contributes and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation). - Exemplary stewardship of Netflix’s culture and values, particularly in terms of selflessness and ensuring open debate of ideas and encouraging inclusion of a variety of perspectives regardless of seniority. 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.