Вакансии

Задачи: — Аналитика в стримах Монетизации и Trust & Safety. Требования: — Опыт работы продуктовым аналитиком от 2-х лет и ведения крупных проектов. — Опыт проверки гипотез и проведения A/B тестов. — Умение переводить результаты аналитики на язык продукта и бизнеса.

Location: Москва Команда Легкие продукты в поиске продуктового аналитика. Ключевая задача легких продуктов – обеспечить легкий понятный клиентский путь оформления продукта, сформировать положительный опыт страхования для дальнейшего x-sell сложных продуктов. Обязанности * Полный end-to-end запуск пилотных кампаний по привлечению клиентов через различные каналы коммуникаций: SMS, email, push, роботизированные звонки, баннеры, терминалы и др. * Формирование и проработка гипотез по увеличению клиентского привлечения, повышению конверсии и эффективности коммуникаций. * Сегментация клиентской базы, формирование целевых аудиторий и подготовка таргетов с использованием SQL и Python. * Самостоятельная настройка, запуск и сопровождение кампаний на специализированной платформе. * Контроль корректности проведения пилотов, мониторинг ключевых показателей и оперативное выявление отклонений. * Анализ результатов кампаний, оценка статистической значимости и подготовка рекомендаций по масштабированию успешных механик. * Ведение задач и документации в Jira и Confluence, взаимодействие с продуктовыми, маркетинговыми и техническими командами. * Участие в продуктовой аналитике: анализ воронок, поиск точек роста и оценка продуктовых гипотез. Требования * Опыт работы от 3 лет в аналитике данных, CRM-аналитике, маркетинговой или продуктовой аналитике. * Высшее образование (техническое, математическое, экономическое или в области информационных технологий). * Уверенное владение SQL: сложные запросы, JOIN, CTE, оконные функции, работа с большими объёмами данных. * Практический опыт использования Python для обработки данных, автоматизации аналитических задач и подготовки клиентских выборок (pandas, numpy). * Опыт работы с аналитическими хранилищами данных (Greenplum или аналоги). * Понимание принципов сегментации клиентской базы, построения целевых аудиторий и проведения маркетинговых кампаний. * Знание основ математической статистики, методологии A/B-тестирования и оценки эффективности экспериментов. * Понимание ключевых метрик привлечения: Conversion Rate, Response Rate, CTR, CPA и других. * Опыт самостоятельного ведения аналитических задач от постановки до получения и интерпретации результатов. * Навыки взаимодействия с бизнес-заказчиками, формализации требований и презентации аналитических выводов. Условия * Офисный формат работы (офис м.Проспект Мира); * Выгодные ипотечные льготные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Delivery Club, Самокат, Ситимобил, Сбер Еаптека и другие; * ДМС с первого дня и льготное страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы в Виртуальной школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию;

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Paris based. We can support your relocation if needed. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Core Central Team provides hands-on support and mentoring to all Voodoo studios looking to create new casual and midcore games, and anything hybrid in between. ROLE We are looking for a Product Data Analyst who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving themselves and the team towards completing the next challenge. By joining this team, you will have a strong impact on the business and a unique opportunity to reach hundreds of millions of users with your insights and recommendations. - Providing valuable insights and recommendations to shape game features, economies and future roadmaps. - Proposing AB Test and benchmarking the good practices in competitors games - Overseeing the tracking design and QA processes to ensure accurate data collection. - Developing dashboards and analysis that provide actionable insights into key product and monetization metrics. - Building and maintaining robust data pipelines - Conducting comprehensive product playtests to refine gameplay mechanics and user experience. PROFILE - 2+ years of experience as a Data Analyst/Scientist in a fast‑paced environment, with strong skills in building production‑ready data pipelines. - Master Degree in Statistics / Math / Engineering / Economics or other quantitative fields - Strong SQL with experience querying large, complex datasets - Experience building production-ready data pipelines - Experience working with Tableau – advantage - Experience with data modeling tools (e.g., dbt) – advantage - High level of analytical and rigorous problem‑solving skills with strong attention to detail - Strong sense of ownership, builder’s mindset, and intellectual curiosity - Ability to turn complex concepts into actionable recommendations - Curiosity for games/player behavior and comfort in ambiguity" - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days

Задачи: — Разобрать рынок и конкурентов: Revolut, Wise, швейцарские необанки; — Провести интервью с будущими клиентами и найти настоящую боль; — Собрать MVP и посчитать его экономику. Условия: — Официальное оформление через компанию в Казахстане; — Удалённая работа; — Старт в Швейцарии, дальнейшее развитие на рынки ЕС.

Задачи: — Сквозная аналитика пользователей и источников; — Анализ GGR/NGR, retention и прогноз LTV; — Анализ партнеров, бонусной нагрузки и A/B-тестов; — Поиск фрода и абьюза, дашборды и отчетность. Требования: — От 2 лет в продуктовой аналитике, от 1 года в iGaming; — Опыт с LATAM/Tier-3; — Сильный SQL, ClickHouse/PostgreSQL; — Владение BI и статистикой A/B-тестов. Условия: — Удаленка, конкурентная зарплата; — Отпуск и больничные; — Рост вместе с продуктом.

Требования: — Уверенная работа с SQL и Python — Опыт работы с AI/ML-продуктами — Анализ LLM-based продуктов, AI Agents, conversational AI — плюс — Умение превращать данные в продуктовые решения О компании: MEDvidi — онлайн-клиника ментального здоровья в США. Развивает текстовых и голосовых AI-ассистентов для пациентов.

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We’re looking for an analyst for Order Experience – the area responsible for the user experience from the moment an order is placed: payment and the user’s journey in the app after purchase. Here, analytics directly affects both the user experience and the business economics: how easy it is to pay for a purchase, how quickly a customer’s issue gets resolved, and how much that resolution costs the company. You’ll work with the Product, Payments, Billing, and Support teams: together with managers, engineers, support specialists, and the finance team, you’ll identify opportunities for improvement, test hypotheses, and see them through to implementation. To do this, we have a mature internal A/B testing platform, a set of MCP tools and AI agents for analytical tasks, high-quality data in BigQuery and Spark, and transparent data preparation processes built on Airflow and dbt. This role is a great fit for someone who enjoys proactively proposing changes, taking part in setting priorities, and seeing the results of their work in the product and in business metrics. Responsibilities Improving checkout and the post-purchase experience. Identifying the reasons that prevent users from completing payment, and testing hypotheses that make this journey simpler Developing AI support. Working with the team to improve AI Chat: finding scenarios for automation, and assessing the quality of user problem resolution and the impact on the business Improving the support contact experience. Researching the user journey from ticket creation to problem resolution, agent performance, and refund decision-making Increasing operational efficiency. Forecasting support workload, improving the automatic refund model, and finding opportunities to reduce costs while maintaining service quality Designing and analyzing A/B tests. Helping teams choose metrics and experiment designs, interpret results, and automate analysis. Developing the metrics system. Making payments, billing, and support metrics clear and useful for decision-making, and investigating changes and anomalies Influencing team priorities. Identifying growth opportunities, estimating the potential impact of initiatives, and helping decide where it’s worth investing time Enabling teams to work with data independently. Preparing data for AI tools and automating repetitive analysis so that colleagues can answer basic questions on their own Requirements Strong SQL and Python skills for data analysis and automation A solid understanding of mathematical statistics and hands-on experience with A/B testing – from forming a hypothesis to drawing conclusions and making recommendations Experience applying AI in analytical work: the ability to integrate it into everyday tasks, verify its outputs, and find new opportunities for automation Independence and an interest in the business: the ability to dig into a problem, propose hypotheses, and connect analysis results to a specific decision The ability to explain complex topics clearly to colleagues with different backgrounds — from engineers to support, finance, and legal specialists The ability to manage work for multiple stakeholders: making priorities transparent, agreeing on scope and timelines, and justifiably deprioritizing less important tasks Preferred Experience in e-commerce, payments, support, or operations automation Building your own AI tools and agents for data analysis We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Melbourne Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. Role Overview Tripledot Studios is growing and looking for a Product Analyst to support some of our most ambitious game initiatives yet. You’ll use real-time data, industry trends, and strong analytical thinking to help drive product decisions. You’ll refine ideas through experimentation and iteration, using data to validate hypotheses and uncover opportunities to improve game performance. We’re open to candidates at different levels, including high-potential recent graduates with strong analytical and technical foundations, a curiosity for problem-solving, and a genuine interest in mobile games. In this role, you’ll dive deep into large-scale player data to understand behavior, identify patterns, and influence product direction. You’ll develop a strong grasp of key product KPIs and player journeys, and use data to drive meaningful impact. Key Responsibilities Identify areas for improvement, form hypotheses, and design A/B tests to improve core business metrics Analyse large and complex datasets to answer strategic and operational questions Deep dive into player behaviour (engagement, monetisation, retention, churn) to uncover insights Conduct pre/post analysis to measure the impact of product changes Work closely with Product Managers and stakeholders to define KPIs and success metrics Build meaningful user segments to drive business value Support LiveOps and economy decisions through data insights Translate data into clear, actionable recommendations that shape product direction What We’re Looking For Strong interest in mobile games and free-to-play products Strong analytical mindset with the ability to break down complex problems Solid foundation in SQL and/or data analysis (academic or professional experience) Experience with data visualisation tools (e.g., Looker, Tableau, Excel, etc.) Ability to interpret data and communicate insights clearly and concisely Curious, resourceful, and comfortable working with ambiguity Strong academic background in a quantitative field (e.g., Mathematics, Engineering, Computer Science, Economics, or similar) and demonstrated hands-on experience with data (projects, internships, etc.) Experience working with product or user data (internships, projects, or previous roles) Familiarity with A/B testing or experimentation Understanding of free-to-play monetisation, LiveOps, or game economy systems

Задачи: — строить продуктовую аналитику — исследовать поведение игроков — выявлять возможности для роста на веб и мобильных продуктах — владеть полным аналитическим процессом: от постановки исследовательских вопросов и подготовки данных до рекомендаций по улучшению продукта и измерения их влияния

Location: Remote - Europe Workplace: Hybrid ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS Following Consensys's strategic transition into two independent entities (MetaMask for consumer platforms and Consensys focusing on protocols and institutional infrastructure), we are seeking an experienced Security Operations Center (SOC) Analyst to join our security organization. Consensys powers the core infrastructure driving the decentralized web, including Linea mainnet and the open-source Lineth ZK rollup stack recently donated to Linux Foundation Decentralized Trust. The SOC Analyst will be responsible for architecting, building, and operating a comprehensive 24/7 monitoring and alerting ecosystem across our entire digital asset footprint. This role spans enterprise IT SaaS environments, core blockchain infrastructure, and Web3 smart contract security. The SOC Analyst will bridge traditional cybersecurity operations with cutting-edge Web3 threat detection, protecting our corporate IT stack (JumpCloud, AWS, Google Workspace, GitHub, Notion, Zoom), Linea mainnet infrastructure, and ecosystem DeFi protocols against emerging cyber threats and exploits using tools such as Hypernative, Hexagate, and Blockaid. WHAT YOU’LL OWN 1. Enterprise IT Security & SaaS Monitoring - Architect and maintain centralized log collection, SIEM integration, and incident response services across AWS (utilizing Amazon GuardDuty and AWS CloudTrail) and corporate IT services including JumpCloud, Google Workspace, GitHub, Notion, and Zoom. - Develop custom detection rules and alert logic to detect unauthorized access, privilege escalation, credential compromise, and anomalous user activity. - Ensure complete security logging visibility, audit readiness, and access control management across all corporate platforms. 2. Infrastructure & ZK-Rollup Monitoring (Linea & Lineth) - Establish real-time security monitoring for Linea mainnet and the open-source Lineth ZK rollup stack (including Besu execution layer, Maru consensus, coordinator, and provers). - Monitor RPC endpoints, sequencer performance, L1/L2 messaging reliability, state root finalization, and infrastructure telemetry. - Collaborate with the DevOps team and core engineering teams to detect and mitigate infrastructure threats, DDoS attacks, and zero-day vulnerabilities. 3. Web3 & Smart Contract Threat Detection - Implement and tune real-time Web3 threat monitoring platforms including Hypernative, Hexagate, and Blockaid. - Build automated alerts to detect suspicious smart contract interactions, flash loan attacks, reentrancy exploits, liquidity drains, and unauthorized bridge activity on Linea mainnet. - Perform onchain forensics and transaction trace analysis to safeguard ecosystem DeFi protocols and institutional assets. 4. Incident Response & Threat Hunting - Serve as a primary responder for security alerts originating from IT SaaS, cloud infrastructure, and Web3 protocol layers, utilizing Grafana Cloud IRM to manage on-call rotations and incident management. - Lead triage, investigation, containment, and post-mortem root cause analysis for confirmed security incidents. - Proactively conduct threat hunting across system logs, cloud environments, and onchain transaction streams. 5. Security Automation & Detection Engineering - Automate incident response playbooks and triage workflows using SOAR tools and custom scripts (Python, Go, Bash). - Continuously refine detection rules to reduce false positives and improve Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). - Integrate automated containment mechanisms across access management, cloud IAM, and Web3 security providers. 6. Compliance, Governance, and Reporting - Maintain detailed incident records, forensic evidence, and documentation in alignment with SOC2 and ISO compliance frameworks. - Prepare security operational metrics, alert volume analysis, and threat reports for leadership. - Ensure compliance with corporate security policies and access controls across all environments. 7. Threat Intelligence & Ecosystem Collaboration - Monitor Web3 threat landscapes, tracking emerging smart contract exploit techniques and threat actors targeting L2 ecosystems. - Coordinate with external security researchers, bug bounty programs, and Web3 security alliances to share intelligence. - Participate in incident response drills, security reviews, and audit remediation with external security partners. WHAT WE ARE LOOKING FOR - 3–5+ years of experience in Security Operations, Detection Engineering, or Incident Response within cloud-native or Web3 environments. - Hands-on experience configuring and maintaining monitoring, threat detection, and incident analysis services for AWS (such as Amazon GuardDuty and AWS CloudTrail) and enterprise IT platforms (JumpCloud, Google Workspace, GitHub, Notion, and Zoom). - Direct experience using Web3 security and onchain monitoring tools such as Hypernative, Hexagate, and Blockaid. - Deep technical understanding of Ethereum, L2 scaling architectures, ZK-rollups (Lineth stack, Besu execution, prover systems), and smart contract vulnerabilities. - Proficiency in log management, monitoring platforms (such as Grafana), SIEM/SOAR platforms, and scripting languages (Python, Go, Bash, or SQL). - Familiarity with SOC2, ISO 27001, NIST, or SANS security frameworks. - Strong communication, problem-solving, and analytical skills in a fast-paced, remote-first environment. BENEFITS OF THIS ROLE - The opportunity to safeguard cutting-edge Web3 and ZK-rollup infrastructure at the forefront of blockchain technology. - A dynamic and collaborative work environment with a passionate and talented team. - Competitive compensation package, including salary, benefits, and performance-based incentives. - A platform to influence the future of decentralized technologies and financial systems. REPORTING STRUCTURE - Reports to: Head of Security. - Team: Working closely with our dedicated DevOps team, Head of Security, and Site Reliability Engineer, this role will serve as the founding member of the incident response team. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role and its impact When something goes wrong in security at Xero, our Response team are first on the scene. We're looking for a Senior Security Operations Analyst who loves incident response, enjoys building things, and wants a hand in shaping what a SOC looks like when AI agents are part of the team. You'll lead our complex investigations and take command of medium and high impact incidents, keeping people calm, decisions moving and stakeholders in the loop. When things settle down, you'll make sure what we learnt changes something, whether that's a detection, a runbook or the way we train. You'll also help us build. Our Analysts improve the queue as well as working it, so part of your time will go on creating automations and AI-assisted workflows that take repetitive work off the team and leave more room for the investigations that need a person. The team and how they connect Response is a follow-the-sun global team. You'll be in the Southern Hemisphere half, based in New Zealand or Australia, and at the end of your day you'll hand over to colleagues in the UK and North America, who hand back to us the next morning. You'll work business hours in your time zone and take a share of our on-call roster for after-hours incidents. You won't be doing it on your own. You'll join a cohort of Senior Analysts who share the load on complex work and lead our initiatives, with a Lead Analyst alongside for the hardest problems. Our XFLT, a cross-functional leadership team of Security Operations Managers, our Lead Analyst and our Product Manager, sets the direction and clears the way, so there's always someone to think out loud with. The team is currently working on / Initially, you will focus on We're building towards an agentic SOC, where AI agents and automation carry more of the first pass, and analysts direct them and step in where judgement matters. We're working through it carefully: which low-risk work agents can take on, where the guardrails and human approvals belong, and how we'll know it's working. People still make the big calls, because our robots aren't that good yet. You don't need to be an AI expert. We'd love you to be curious, to have tried a few things, and to want to help us get this right. You’ll also: - Lead complex investigations and step up as Incident Commander for medium and high impact incidents - Be a go-to escalation point for our Graduate, Associate and Analyst crew, and coach them through the tricky stuff - Run post incident reviews that lead to real change in detections, runbooks and training - Lead initiatives with our Product Manager and Security Operations Managers, turning goals into work that gets delivered - Build and improve automations and AI-assisted workflows, with guardrails and human sign-off where they matter - Work with our Defence engineers on detection and response logic, and test new capabilities in real incidents - Turn threat intelligence into practical action for Xero - Give customers and internal teams clear, timely answers to their security concerns Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for Incident response comes first for us, so we're looking for: - Solid experience in security operations, and a real passion for incident response - A track record of leading complex investigations and incidents through to resolution, including coordinating people and making calls under pressure - Sound technical judgement and good knowledge of attack and defence techniques, particularly in cloud and SaaS environments - Confidence writing queries in a SIEM or log platform - Clear, calm communication and a generous approach to sharing what you know It'd be great if you also have: - Scripting skills (Python or similar) and experience building automations in a SOAR platform. We use Tines, and we're happy to teach it. - Hands-on experience with AI tools in security work, or a clear view of where they help and where they don't - Intermediate or advanced certifications in incident response, threat hunting or cloud security - Experience in a distributed team working across time zones If you're strong on incident response and the builder side is still growing, we'd still love to hear from you. You'll do work that matters to millions of small businesses and their advisors, in a team that shares what it knows and backs each other up, with a real say in how an AI-powered SOC works in practice. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Colombia In Colombia, we’re only starting to develop our product line . This means that by joining us now, you’ll become part of one of the most exciting stages of the company’s growth — and have a direct impact on building our products and operations in Colombia. If you like working in an environment where there’s no established playbook and where your decisions can directly shape the product, this is the right time to join. We are looking for Product Analysts in various teams in Colombia: Acquisition, Operations, Credit Cards Origination, Finance, Mobile Application, etc. Your team will include graduates from top universities (MSU, MIPT, HSE, NES, etc) and winners of math and economics olympiads What makes you a great fit: Care about the company and customers Be smart Understand math Challenges that await you: Take ownership — making mistakes isn’t a problem Use your mind to create top-tier products Find insights in data and turn them into action Design metrics to improve customers' lives How we work: Honest feedback — we value open, transparent communication A high-tech environment full of smart people rebuilding finance from the ground up Fast by default — technology moves fast, and so do we Our benefits: Relocation support to Colombia, Bogotá with full visa & permit support to the employee and family You will be provided with corporate accommodation by the company Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

Задачи: — работа в монетизации продукта Циан Требования и условия в тексте не указаны.

We're hiring a Senior Product Analyst at Intch. The role is not about dashboards. The company runs 10+ A/B tests in parallel on weekly sprints, requiring fast decision-making. The Senior Product Analyst will be the first and only product analyst, responsible for challenging decisions with data and bringing insights that nobody has asked for yet.

Задачи: — Проводить полный цикл А/Б-тестов внутри продукта: помогать с дизайном, выбирать метрики, оценивать результаты и формулировать решения по итогам.

Продукт-аналитик в Maestra — малый американский non-VC бизнес ($5M ARR) от команды с 20-летним опытом в домене. Удалённая работа.