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 Media Science DSE team delivers metrics & data science that help scale and innovate content media production and management workflows, driving time and cost efficiencies and empowering creative teams to bring their story to life on the screen. 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 innovations that drive scale economies and greater creative storytelling across our diverse content slate, and support the delivery of new content types on Netflix. As a Senior Analytics Engineer in this space, you will: - Be a strategic partner for Content & Business Product PMs and Content Operations teams, developing and executing new measurement frameworks, and identifying analytic opportunities to assess the effectiveness and business impact of product solutions supporting media production workflows - 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 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 - Present your analytical methodology and findings effectively to both technical and non-technical partners - Collaborate with other Analytics Engineers & Data Engineers to source data from new systems, strengthen our foundational data models, and accelerate data analysis 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., Tableau, Plotly, Streamlit) - Exceptional communication and collaboration skills coupled with strong business acumen - Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process - You connect the dots across stakeholder needs and independently drive projects forward - A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table - 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 - Comfortable taking (smart) risks in your work and thrilled about innovating in the Content Production domain - Netflix culture resonates with you - Experience designing observational causal inference studies and A/B tests, driving strategic decision-making through its findings 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.

• Own the transformation layer in dbt- design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. • Define and implement core business metrics (e.g. activation, engagement, retention) as reusable, versioned data assets- ensuring consistent definitions across analytics, product, and AI use cases. • Model complex SaaS data by integrating product events, CRM (Salesforce), and support data into clean, well-defined fact and dimension models. • Build and evolve our semantic layer- creating a reliable abstraction over our data that enables consistent KPI definitions and supports downstream consumers, including LLM-based analytics agents. • Collaborate with Data Engineers on upstream data contracts and event schemas- ensuring raw data is structured in a way that supports scalable, reliable analytics. • Establish and enforce best practices in testing, documentation, and data quality- making these part of the standard development lifecycle. • Document models, metrics, and lineage clearly- enabling self-service and reducing ambiguity across teams.

• Design, develop, and maintain production-quality dbt models with a focus on performance, readability, and long-term maintainability • Translate business requirements into clean, well-documented data models that analysts and downstream consumers can rely on, including ownership of code reviews and our semantic and metrics layers • Collaborate with Data Engineering on ingestion pipelines, Fivetran and Streamkap connectors, and architecture decisions upstream of modeling, with a practical understanding of Snowflake performance and warehouse costs • Support a dbt contributor base that extends beyond the analytics engineering team, keeping Data Team contributors unblocked and helping them grow their skills • Contribute to the data foundation behind Loop Intelligence, including merchant outcome measurement and shopper-level cohort analyses • Apply data operations fundamentals across your work: Gitlab, CI/CD, automated testing, and documentation that make our data assets easier to discover and use • Use AI tools actively in your workflow and help the team develop shared norms around where and how they add real value

Join Lightspeed's fast-growing Financial Services division as a talented and passionate Analytics Engineer on our FS Data team. In this key role, you'll be instrumental in overseeing all analytic and reporting needs, contributing directly to the success of every domain within Financial Services. If you have worked on data pipelines, have great communication skills, are familiar with data modeling and have helped teams to gather both predictive and historical insights, you might be a great fit for this role! This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations, Risk and Finance among others. For this role, you should be located in Canada, and able to work within EST/EDT hours. We offer a choice of fully remote, partially remote or fully office-based work environments (in cities with local offices). What you’ll be responsible for: - Cleanse and transform raw data into business logic to help stakeholders build reports and data models - Analyze raw data and suggest data sources that best meet expressed business needs - Ensure the right data gets to the right people at the right time - Collaborate with the Central Data Team to build data pipelines in accordance with shared best practices and design, and feed data models for usage - Act as a champion for data quality and usability across the Financial Services organization - Ensure availability, quality and searchability of data and documentation - Write, clean and maintainable queries and scripts that are highly performing, well-structured and easy to understand and extend using version control and CI/CD - Automate testing of data models and add appropriate validations to ensure quality - Help define and improve our internal standards for data models and infrastructure - Ability to explain intermediate to complex information to other team members - Ability to maintain or develop simple report or dashboard in Looker What you will bring to the team: - Experience with SQL and Python coding (or equivalent language) - Experience with MPP data warehouse (we use BigQuery) - Experience with dbt or dataform - Experience in performing data profiling, data mapping and data quality validation - Experience with data orchestrator - Understanding of industry standards for data warehousing and data modelling - Knowledge of data environments (we use GCP) as well as containerization solutions - Experience in source control, CI/CD and automated testing - A security mindset with the ability to work with compliance protocols (SOX, GDPR) - Excellent communication skills and ability to communicate with technical and non-technical stakeholders - Excellent problem-solving skills - Ability to work independently and in teams - Self-motivated and great at taking initiative Some additional things that would be a bonus: - Experience in the Payments or Financial Services domain - Experience in working with SaaS solutions - Solid knowledge of cloud services (AWS and GCP in particular) Please NOTE: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. What’s in it for you: Be a changemaker You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee-led networks, social committees to sponsored sports teams - Computer purchase program to get your personal MacBook - Enhanced parental leave to support growing families - Lightspeed equity scheme (we are all owners) - Unlimited paid time off policy - People Experience - Our PX benefit allows you to work from pretty much anywhere in the world for 60 days a year - Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents. - Employer RRSP contribution of up to 4% of base salary to a maximum of $5,000 - Health and wellness benefit of $500 per year - Employee Technology Purchase Program: Ability to an interest-free loan to purchase certain Apple products - LinkedIn Learning: At Lightspeed, we believe in having a growth mindset, we provide free access to LinkedIn learning along with your career GPS to help you learn & grow - Paid leave and assistance for new parents - Mental health online platform and counselling & coaching services - Volunteer day - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen - Tuesday: Pancakes, Wednesday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks. Fuel your growth. Find your people. At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities. To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Where to from here? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. Who we are: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement.