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Analyst 3 Jobs

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Okta
📍 Illinois• Full-time• From $329K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Role We are seeking a visionary, strategic, and highly technical VP of Product for Identity Management to lead two of our fastest-growing and most critical strategic pillars: Okta Identity Governance (OIG) and Okta Privileged Access (OPA). As the VP of Product, you will own the end-to-end product strategy, roadmap, and execution for our modern Workforce Identity Cloud governance and privileged access solutions. You will lead a high-performing team of product managers, collaborating closely with engineering, design, marketing, and sales to redefine how enterprises manage identity lifecycle, compliance, and high-risk access in a cloud-first world. Key Responsibilities Product Vision & Strategy: Define and execute the multi-year product strategy for OIG and OPA. Position Okta as the dominant leader in unified Identity Governance and Administration (IGA) and Privileged Access Management (PAM). Team Leadership: Recruit, mentor, and inspire a world-class team of Product Managers. Foster a culture of high ownership, accountability, and user-centric design. Execution & Delivery: Work hand-in-hand with Engineering leadership to deliver scalable, secure, and intuitive enterprise-grade products. Maintain a rigorous focus on speed-to-market without sacrificing quality. Market & Customer Insights: Spend time with Fortune 500 CISOs, IT leaders, and industry analysts (Gartner, Forrester) to deeply understand market trends, regulatory compliance need

awsrestmachine learning
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O
Okta
📍 Washington• Full-time• From $240K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaigns—including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

pythonsqlaws
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Pinterest
📍 United Kingdom• Full-time
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With over half a billion Pinners searching, saving and engaging with tens of billions of Pins, analysts at Pinterest can call upon a massive supply of high-intent data – one of the most unique data sets in the world. As a Senior Insights Partner on the Sales Insights team, you will execute analyses and craft data storytelling using this data and other sources, to help clients succeed on Pinterest. Your work will teach advertisers about their customers, categories, culture and more on Pinterest, driving them to invest though bespoke insights that help marketers realise their brands’ full potential on the platform. As a Senior Insights Partner, you will be responsible for understanding your sectors’ and its advertisers’ business priorities, developing insight-led sales collateral designed to further Pinterest’s revenue objectives. You will

sqlawsgit
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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

reactawsai
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Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

reactawsai
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R
1mo ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Engagement team’s mission is to drive the way we connect with customers to increase engagement across our products, connecting the right user to the right action. We focus on informing and implementing a strategic growth roadmap that introduces users to the right products and drives engagement across the entire user journey including onboarding, product adoption, engagement, and retention. We work closely with partners across product, marketing, creative, and data science to build campaigns, experiments, and messaging that increase engagement with our products and services. You will be supported by engineers, analysts, content strategists, brand partners, and product developers as we work toward our common goal to help democratize our financial system! As a Senior Growth Engagement Manager you will lead the lifecycle strategy for international consumer engagement. You will focus on building automated and triggered journeys that introduce users to the right products and drive engagement across onboarding, product adoption, and retention. In this role, you will bring a quantitative approach to prioritization and creative problem-solving, using marketing technology a

reactawsai
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C
Coinbase
📍 Cyprus• Full-time• Remote
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Customer Success team within Customer Experience supports Coinbase Financial Services Europe Ltd (CBFSE), our MiFID-regulated entity in Cyprus, delivering compliant support across phone, chat, and email. As a CX Supervisor, you'll lead a team responsible for monitoring and improving the quality and regulatory compliance of all customer communications, ensuring interactions are clear, fair, and fully aligned with CySEC and MiFID requirements. What you'll do: Lead a team of CX agents and QA analysts supporting CBFSE customers across phone, chat, and email, driving performance and regulatory compliance across all channels. Own the CX quality assurance framework for Cyprus, including scorecards, sampling methodology, and calibration sessions, and drive continuous improvement in quality and compliance metrics. Review recorded customer communications to verify adherence to MiFID and CySEC conduct-of-business standards, including risk warnings, disclosure requirements, and prohibition of unauthorized investment advice. Partner with Compliance, Legal, AML, Operations, and Training to translate regulatory requirements into actionable CX processes, scripts, and knowledge base content, and coach agents on QA outcomes. Manage customer and regulatory-sensitive escalations through root-cause analysis and remediation, and report CX quality and compliance KPIs to senior stakehol

REMOTEawsaigo
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C
Coinbase
📍 - USA• Full-time• Remote• From $207.5K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Staff Analytics Engineer to lead the data foundations for the Compliance Data team within the Platform organization. This team owns the Compliance Reporting Data Platform, Coinbase's canonical source of truth for user, transaction, and compliance data, and every regulatory report at Coinbase depends on it. You'll define the technical direction for how compliance data is modeled, validated, and certified at scale, ensuring our foundations hold as products, entities, and regulatory requirements evolve, while also delivering accurate, timely data when regulators come calling. What you'll do: Own the systems, architecture, technical strategy, and roadmap for the Compliance Data, including the data models, pipelines, quality frameworks, and certification processes that the entire compliance reporting stack depends on. Build production-grade solutions, in addition to data models and pipelines, covering user, transaction, and compliance data across retail and institutional product lines, designing for durability, auditability, and consumption by both analysts and AI agents. Drive data quality at the source by establishing data contracts, validation frameworks, monitoring, and reconciliation logic that catch issues before they propagate to downstream reports or regulatory filings. Partner with upstream engineering teams, Compliance leadership, and downs

REMOTEpythonsqlaws
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C
Coinbase
📍 - USA• Full-time• Remote• From $186.1K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available. We have a number of open roles within the Data Platform team, each with a different focus area; read on to see if you'll be a good fit as a Data Engineering Platform Engineer. This role sits between our platform and the analysts, data scientists, and data engineers who use it every day. You'll build the SDKs, self-service apps, and abstractions that let thousands of pipelines and analyses run without those users needing to understand the plumbing underneath. What you'll do: Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale. Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase. Design and build self-service applications that let analysts and data scientists create, manage, and troubleshoot their own pipelines wi

REMOTEpythonjavasql
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C
Coinbase
📍 - Canada• Full-time• Remote• From C$191.1K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. What you'll do: Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection a

REMOTEpythonjavareact
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

pythonmachine learningai
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L
Lyft
📍 Toronto• Full-time• From C$172K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

machine learningaigo
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At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

pythonmachine learningai
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D
Discord
📍 San Francisco Bay Area• Full-time• $192K – $216K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking an experienced Oracle ERP Fusion Technical Developer to join Discord’s Business Systems team. In this role, you will own technical incident resolution, report development, integrations, system enhancements, and technical delivery across our Oracle Fusion ERP environment. You will partner closely with Finance, Accounting, Business Systems, and integration teams to ensure operational stability, scalable solutions, and successful delivery of business-critical initiatives. What you'll be doing Provide L2 (Incident and Problem Management) and L3 (Bug Fix and Enhancement) technical support across the Oracle Fusion ERP environment. Develop, maintain, and enhance BI Publisher (BIP) and OTBI reports, dashboards, and data extracts across GL, AP, AR and Procurement modules Own Oracle Integration Cloud (OIC) break-fix support, monitoring, troubleshooting, and new integration development. Partner with functional analysts and business stakeholders to translate requirements into scalable technical solutions. Create and maintain technical design documents, integration specifications, and deployment documentation. Support month-end, quarter-end, and year-end financial operations by resolving technical issues and performance bottlenecks. Execute root cause analysis , technical testing, deployment validation, and regression testing for quarterly Oracle releases. Collaborate with cross-functional teams on enterprise integrations and long-term solution architecture. Follow and support ITGC, SOX, and change management requirements for all technical changes. What you should have 5+ years of hands-on Oracle Fusi

D
Discord
📍 San Francisco Bay Area• Full-time• $248K – $310K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. This team is where reports and signals become decisions. We build the LLM pipelines that review reported content, the systems that carry enforcement out, the appeals path users take when we get it wrong, and the tooling our investigators and content reviewers work in every day. Most safety reviews are now decided by automation instead of a person, at a cost per review that has fallen by more than 90% on mature workflows and at precision and recall above trained human reviewers. What's left to automate is the ambiguous, high-stakes end, and with appeals arriving by the hundreds of thousands, getting users a fast and fair answer matters as much as catching harm. We're hiring an Engineering Manager to lead the team: nine engineers across three squads, each with an experienced tech lead. One builds the automated review systems; another owns enforcement, warnings, and the infrastructure behind appeals; and the final owns tooling that enables analysts to be effective. You'll report to the Director of Engineering for Safety and work closely with our content review operations, machine learning, product, policy, and legal teams. The charter is larger than the current headcount, and we expect the role to grow with it. What you'll do Lead three squads, Review, Enforce, and Tooling through their tech leads, setting direction across automated review, enforcement, and appeals Push automation toward nearly all review decisions without giving up precision or recall against a human baseline, and get engineering out of the loop so the operations team can launch and tune workflows themselves Rebuild appeals: one path for

restmachine learningai
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