Staff Data Analyst, Block Compliance

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, the Staff Compensation Analyst will own the building blocks of our global total rewards engine. You will run compensation and equity review cycles, guide offer governance, strengthen the data foundation behind compensation decisions, and turn complex analysis into clear recommendations for leaders across the company. This is a high-autonomy, greenfield role for someone excited to build durable programs and processes in an AI-forward environment. This role is fully remote, based out of North America, preferably aligned to PDT hours. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An experienced compensation professional who takes ownership, works with discretion, and brings accuracy to sensitive decisions. A builder who is comfortable creating structure where processes and systems are still evolving. A clear, pragmatic communicator who can make compensation, equity, and dilution understandable to engineers, managers, and executives. A collaborative, AI-curious partner who works across HR, People Operations, Finance, and business leadership while protecting confidential information. What We Need Own the global compensatio

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role We are an AI-first analytics team. We don't use AI to augment traditional BI workflows — we've replaced them. The Finance Analytics team builds the intelligence layer that Strategic Finance runs on: AI agents that encode repeatable finance processes, Streamlit apps that surface real-time insight, semantic models that let any analyst query complex data in plain English, and workflow automations that collapse hours of manual work into a single prompt. Our primary development environment is CoCo (Cortex Code), Snowflake's AI coding assistant, and SnowWork , the AI IDE we ship work in. Every deliverable on this team is built AI-first: you design the workflow, you write the prompt, you validate the output. If you are still building dashboards by hand, refreshing Excel files manually, or treating AI as a spell-checker for your code — this role will ask you to operate differently. This is a high-breadth seat. One week you're building a new AI agent for quarterly revenue analysis; the next you're designing a sensitivity analysis tool for an earnings war room. You are equally comfortable in an AI-IDE, a Python file, and a stakeholder summary for a senior finance leader. What you'll work on AI agent and workflow development (primary focus) Design and build skills and a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion. Examples of deliverables include agentic campaign activation platform, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage. This is a hybrid (3 days in office) role in Menlo Park IN THIS ROLE YOU WILL: Be a Strategic Partner to Leadership: Partner with Marketing executives to align analytics initiatives with global business objectives — active GTM alignment, technical roadmap strategy, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it. Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI — presenting complex analytical findings to the team with clarity and impact. You measure success by decisions changed, not dashboards shipped. Master the Analytical Foundation: Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and Data Engineering teams to ensure insights are accurately surfaced

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights. The Difference You Will Make You will be the clear analytics owner of Airbnb's guest lifecycle marketing domain — covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs. A Typical Day Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations. Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests. Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact. Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders. Build scalable, self-serve reporting (