Analyst 3 Jobs

HR Technology Security Analyst — Tlaquepaque, Jalisco, Mexico. Apply via Workday.

Sr Financial Analyst FP&A, Supply Chain Finance — 1000 Nicollet Mall, Minneapolis,MN 55403-2542. Apply via Workday.

Sr Logistics Analyst - Last Mile Operations (Hybrid) — 1000 Nicollet Mall, Minneapolis,MN 55403-2542. Apply via Workday.

Fund Administration & Oversight Lead Analyst — FTS-Hyderabad-F3354. Apply via Workday.

Senior Cybersecurity Analyst — Bucharest. Apply via Workday.

Senior Financial Analyst, Cloud FP&A /Product — 2 Locations. Apply via Workday.

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is looking for a Total Rewards Analyst to strengthen the accuracy, scalability, and insightfulness of our compensation programs while providing reliable support across benefits and broader total rewards operations. This compensation-led role will turn market data and employee data into clear recommendations, support annual compensation and equity cycles, and help leaders make

About the Role & Team This is Amplitude's first People Team hire in India, and we're being deliberate about who we bring in first. People Operations is at an inflection point. A lot of what takes hours today—HR tickets, Workday updates, onboarding tasks—will be handled by AI-assisted workflows in the near future. We're building toward that now, and this role is part of that foundation. You'll join the global People Operations team as a dedicated shared services resource, handling the operational work that keeps our EMEA and AMER specialists focused on higher-complexity, in-market problems—and supporting People Business Partners globally when they need an extra set of hands. In the near term, the work is largely transactional: resolving HR helpdesk tickets, processing Workday data requests, coordinating onboarding logistics. That's not a knock on the role—it's the job, and doing it with speed, accuracy, and care matters enormously. Over time, as we invest in AI tooling and automation, that transactional load will shift. When it does, this role shifts with it: taking on process improvement projects, helping document and refine how the team operates, and growing into a contributor who shapes practices rather than just follows them. We'll support that progression. Because this is a remote role with no local People Ops team around you, we need someone who is genuinely self-directed. You'll be given clear priorities and good systems to work in, but you'll own your own day. If you thrive in structured work but feel motivated by the promise of doing more over time, this is a good fit. As a People Operations Analyst, you will: Own shared services and HR helpdesk Resolve Tier 1–2 employee inquiries through our HR ticketing system (Console AI) on behalf of EMEA and AMER regional teams: policy questions, employment verifications, leave requests, and benefits inquiries Triage issues that need specialist input—Benefits, Payroll, Legal, or regional People Ops—with clear contex

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. What You'll Be Responsible for Marketing Measurement Strategy Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams Partner

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build. This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model. Mission Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows. What You'll Do Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible Surface meaningful patterns in behavioral, subscription, and

Capital Service Analyst — United States - Minnesota - St. Paul. Apply via Workday.

Senior Financial Analyst (m/f/d) — Germany - Wiesbaden-Delkenheim. Apply via Workday.

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role Sentry's Revenue Operations team is built around three pillars — Analytics, GTM Technology, and Deal Desk — and we're hiring a Revenue Operations Manager who will work across all three. This isn't a role where you sit at the end of the sales process waiting for deals to land in your queue. We want someone who is curious about why deals are structured the way they are, who spots inefficiencies before anyone else does, and who sees our CPQ and Salesforce environment as a system to be improved, not just operated. Roughly half your time will be deal desk ownership while the other half is the broader rev ops surface area — process design, systems and tooling, reporting and insights, and the cross-functional projects that keep sales, finance, and marketing running off the same playbook. Across both, your mandate is the same: reduce friction, automate the routine, and make more of the work self-service for reps. This role is an opportunity to grow into a deep operator and systems thinker. If you're someone who thrives on bringing order to chaos, who gets excited about eliminating the manual step that shouldn't exist in the first place, this is the job. In This Role You Will Own Deal Desk - end-to-end processing of deals — including quote creation, discount review, order form generation, and approval routing — with minimal escalation and fast turnaround. Become an expert in our CPQ system and Salesforce integration– not just as a user, but as a critical voice for what should change. Document pain points, propose solutions, and work alongside our GTM Tech team to drive improvements. Help design and implement self-servi

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Employee Lifecycle Analyst is a critical member of Ramp's People Operations team, responsible for the data workflows that power every employee's experience at Ramp. You'll be a trusted operational partner to our Comp, Finance, and HR teams, bringing structure and precision to cross-functional processes while building the documentation and systems that scale with the business. This is a role for someone who loves getting into the details, takes real pride in accuracy, and is excited to build — not just maintain — the processes that support every employee at Ramp. What You'll Do ~60%: Data Management Own end-to-end employee data changes in our HRIS and connected systems including internal moves, title changes, compensation updates, bulk uploads, complex exceptions. Ensuring accuracy and timeliness across every change. Establish and run data-audit, reconciliation, cleansing, and issue-resolution routines; identify root causes and drive durable fixes. Build scalable operating procedures and controls that improve data quality ahead of

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our Fraud team's mission is to help companies detect and prevent fraud using Plaid's financial network data. We believe that transaction patterns, device signals, identity linkages, and behavioral data are dramatically underleveraged tools in fraud prevention. Our products — including Protect and Signal — operate at network scale and depend on real-world investigation and research to stay ahead of adaptive adversaries. As a Senior Fraud Researcher, you will sit at the intersection of live fraud investigation, applied data science, and product innovation. You will lead complex investigations, translate findings into detection improvements, and collaborate tightly with Data Science, ML, and Product teams to shape the next generation of Plaid's fraud capabilities. This is not a purely operational role — your research directly drives features, model inputs, and product design. Responsibilities: Live Fraud Investigation & Reconstruction Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces Provide support to day-to-day fraud operations including SEVs and alert triage Reconstruct attacker sequences and hypothesize actor intent and tooling Distill p