Description We are seeking an Analytics Engineer to support the development of a semantic modeling and metrics layer powering analytics across Data Cloud and Tableau. This role sits between Data Engineering and Product Analytics and focuses on enabling trusted, reusable, and business‑ready data for dashboards, AI insights, and downstream analytics. This role is not primarily dashboard‑focused. Instead, you will contribute to the design and maintenance of semantic models, metric definitions, and relationships that allow product and business teams to self‑serve analytics with confidence. Responsibilities: Semantic Modeling & Metrics - Contribute to the design and maintenance of semantic models and governed metrics - Translate curated data objects into business‑ready dimensions and KPIs - Help define and document metric logic, calculations, and definitions for reuse - Support consistency of metrics across dashboards and analytics use cases Data Modeling & Relationships - Assist with configuring and validating relationships between modeled data objects - Review and validate AI‑suggested or automated relationships for analytical correctness - Collaborate with data and product teams to align on modeling conventions Governance & Documentation - Support governance practices for the semantic layer to ensure data consistency and reuse - Help document business logic, metric definitions, and modeling patterns - Partner with Product, Analytics, and Engineering teams as requirements evolve Platform Growth - Learn and stay current with Tableau‑related modeling and semantic capabilities - Follow and contribute to best practices as analytics platforms evolve Must Haves: - Experience with Tableau, including work with shared or published data sources - Understanding of semantic layer concepts (centralized definitions, reusable metrics, consistent logic) - Familiarity working with data modeling concepts beyond visualization (metrics, joins, business logic) - Strong data literacy and curiosity about how analytics impacts business decisions Nice to have: - Experience with Salesforce Data Cloud (Data 360) concepts, including: - Data Model Objects (DMOs) - Data Lake Objects (DLOs) - Calculated Insights (CIOs) - Familiarity with Tableau Semantics, Tableau Next concepts, or semantic modeling tools - Interest in governed analytics or AI‑assisted modeling platforms - Background as an Analytics Engineer (dbt-style mindset), NOT just a dashboard developer Notes on the position: - This posting is for an existing vacancy. Job Type & LocationThis is a Contract position based out of San Francisco, CA. Pay and BenefitsThe pay range for this position is $75.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace TypeThis is a fully remote position. Application DeadlineThis position is anticipated to close on May 1, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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