Вакансии

Обязанности: • проведение углубленного анализа данных розничного кредитования • разработка, совершенствование и поддержка дашбордов и регулярной отчетности по ключевым метрикам риска • автоматизация рутинных процессов и аналитических задач • интерпретация результатов анализа для руководства и смежных подразделений, формулирование рекомендаций для управленческих решений Требования: • глубокие практические знания в области управления розничными кредитными рисками. Обязателен успешный опыт работы на всех этапах жизненного цикла кредита: от скоринга заявок до управления проблемной задолженностью и работой с дефолтами. • продвинутое владение SQL (написание и оптимизация сложных запросов, построение и поддержка структур данных для аналитики). • опыт применения Python для анализа данных (Pandas, NumPy, SciPy и т.д.). • навыки визуализации данных и презентации аналитических выводов. Способность ясно и структурированно доносить сложную информацию до различной аудитории, включая технических специалистов и топ-менеджмент • навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимущество • опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов • инструментальное владение AI для анализа, генерации и автоматизации Условия: • комфортный современный офис • офисный формат работы • ежегодный пересмотр зарплаты, годовая премия • корпоративный спортзал и зоны отдыха • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров • вознаграждение за рекомендацию друзей в команду Сбера.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  The Director, Analytics is a senior level position responsible for shaping analytic strategy and delivering high-impact insights across complex customer engagements. This role reports directly to the VP of Analytics and operates as the highest-level analytic authority on our productionalized analytics engines and dashboards; driving methodological rigor, influencing business strategy, and ensuring analytics directly support contractual commitments and measurable performance outcomes. This individual will lead a team of SQL analysts and BI developers to deliver scalable analytic solutions. Given the scale, visibility, and complexity of the work, this role requires deep healthcare domain expertise, advanced technical capability, strong executive presence, and the ability to operate autonomously in ambiguous environments.   What Success Looks Like In 3 months Develop deep understanding of enterprise data architecture, reporting commitments, and performance objectives Establish credibility as a strategic analytic partner to senior leaders and to your direct reports Contribute to builds across backend and frontend deliverables Provide guidance on complex analytic workstreams and influence prioritization decisions Build trust from team of 4-8 analysts/dashboarders and understand how team fits into priorities Work to refine current OKRs and build team out necessary to execute on those OKRs In 6 months Drive measurable improvements in analytic quality, scalability, and efficiency Lead cross-functional initiatives requiring advanced methodological expertise Serve as trusted advisor on medical economics, risk, episodes, and dashboarding Create rigorous performance management framework for team to be evaluated against Ensure AI integration into analytics workflows In 12 months What You'll Be Doing Define and lead analytic strategy across large-scale, high-visibility engagements Architect advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives Serve as the senior-most analytic escalation point for complex methodological or data integrity questions built in DBT (Spark, SQL) and Amazon Quicksight Drive cross-functional alignment across Product, Engineering, Actuarial, Data Science, Finance, and Customer Success Ensure technical excellence and rigor in all analytic deliverables; establish quality standards and governance practices Identify scalable opportunities for automation, reusable intellectual property, and analytic innovation Present insights and strategic recommendations to senior and executive-level stakeholders Mentor and develop Lead, Senior, and Data Analysts, elevating analytic capability across the team Influence product and roadmap decisions through data-driven thought leadership What You'll Bring 8–10+ years of healthcare analytics experience, with experience in medical economics or risk and dashboarding required Advanced SQL proficiency, including optimization of complex queries in large data environments Advanced Dashboarding proficiency, experience with Quicksight a plus (Tableau, Looker, Power BI, etc. are acceptable) Experience designing analytic methodologies and scalable frameworks Demonstrated success influencing senior or executive stakeholders Proven experience leading large, complex analytic initiatives and teams with significant business impact Strong data storytelling and executive-level communication skills Experience mentoring and elevating senior analytic talent Would Love For You To Have Experience supporting large, enterprise healthcare clients Experience working within AWS or large-scale cloud data environments Proficiency in DBT pipelines a plus Experience shaping product or analytics roadmaps at a strategic level Experience using AI tools to enhance your coding and workflows as they relate to analytics What You'll Get Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care A flexible, remote friendly company with personality and heart Employee driven programs and initiatives for personal and professional development Become a member of the talented, energized, diverse and purpose-driven Arcadian Community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Задачи: — Анализ и документирование существующих сервисов и интеграций компании. — Сбор и формализация функциональных и нефункциональных требований, подготовка технических заданий. — Описание взаимодействия систем, API и потоков данных (SOAP/REST). — Моделирование процессов и сущностей предметной области с использованием BPMN и UML. — Участие в проработке технических решений, архитектуры и интеграций с партнерами. — Подготовка тестовых сценариев и документации для внешних пользователей. — Анализ рисков и причин ошибок на этапе разработки. Требования: — Опыт работы системным или бизнес-аналитиком от 3 лет в IT-сфере (банки, финтех, телеком, интеграторы). — Владение BPMN и UML, умение формализовать процессы и требования. — Практический опыт описания интеграций и API: REST/SOAP, sequence diagram, XSD, JSON Schema. — Понимание принципов работы брокеров сообщений (RabbitMQ, Apache Kafka). — Опыт работы с инструментами Jira, Confluence, Miro, Figma, Enterprise Architect. — Знание жизненного цикла разработки ПО (SDLC) и подходов управления разработкой (Agile, Kanban), включая опыт декомпозиции крупных задач. — Базовые навыки работы с SQL для анализа и проверки данных. Условия: — Официальное оформление и белая конкурентная заработная плата. — Расширенный полис ДМС, включающий стоматологию и получение медикаментов (после испытательного срока). — Работа в современном технологичном офисе со своим спортзалом прямо на локации.

Location: ES - Barcelona, Spain Scopely is looking for a Talent Tech Analyst to join our People Technology team in Barcelona on a hybrid basis, working 3 days a week from the hub. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. What You Will Do In this role, you will be the technical administrator for the company’s Applicant Tracking System. You will provide technical expertise and support to ensure the People Team’s processes maintain efficiency and optimise the company’s evolving business. You will be a key member of a global HR technology team, representing the interests of the business teams in design and support. Support the day-to-day operations and administration of Greenhouse (ATS) within the People Tech team Troubleshoot and resolve system-related issues raised by Talent Acquisition and Talent Operations teams Assist with configuration and maintenance activities in Greenhouse, including workflows, permissions, templates, and system settings Assist with testing new system features, integrations, and process enhancements prior to rollout Support system maintenance activities, including monitoring system behavior, reviewing errors, and assisting with data and permission audits Maintain and update internal People Tech documentation, including system processes, configuration records, and technical documentation Partner with cross-functional teams to ensure system processes and documentation remain accurate and up to date Help support system-related aspects of training materials and user enablement resources Assist with ensuring data accuracy and compliance with defined system processes and standards Provide support across additional People Systems, including Workday, as needed Contribute to ongoing improvements and optimization initiatives across Talent Acquisition and People systems What We’re Looking For 1–3 years of experience supporting HR systems, Applicant Tracking Systems, or similar business systems Strong attention to detail, with the ability to manage tasks accurately in a fast-paced environment Comfortable troubleshooting system issues and supporting end users with day-to-day questions Interest in HR technology, systems, and process improvement Intermediate Excel or Google Sheets skills, including pivot tables, lookups, and data validation Strong written and verbal communication skills, with the ability to collaborate effectively across teams Ability to prioritize multiple requests, take ownership of assigned work, and follow through to resolution Sound judgment and discretion when handling confidential or sensitive information Bonus Points Experience supporting additional HR systems, such as Workday Experience working with Greenhouse or another Applicant Tracking System Basic understanding of system configurations, workflows, permissions, or data management concepts Please submit your CV in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote Workplace: Remote Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for a Senior Payments Analyst to drive analytical decision-making across our payments product. This role focuses on understanding user behavior within the payment funnel, identifying conversion bottlenecks, and translating data into product improvements. You will work with high-scale transactional data, analyzing how users move from checkout to successful payment and where friction occurs. The role requires a strong experimental mindset and the ability to connect data insights to product decisions. KEY RESPONSIBILITIES Funnel Analysis and Optimization - Analyze user behavior across the payment funnel and identify conversion bottlenecks - Quantify the impact of drop-offs and uncover opportunities to improve conversion and user experience - Translate analytical findings into actionable product recommendations Experimentation and Product Insights - Design and evaluate A/B tests in partnership with Product teams - Define hypotheses, success metrics, and measurement frameworks - Monitor product performance through dashboards, reporting, and ongoing analysis Cross-functional Collaboration - Partner with Product and Engineering teams to support data-driven decision-making - Help prioritize product initiatives based on business impact and analytical evidence REQUIRED QUALIFICATIONS - 5+ years of experience in Product Analytics, Growth Analytics, Data Analytics, or similar roles - Strong SQL skills and experience analyzing product, behavioral, or transactional data - Experience with A/B testing, experimentation, and statistical analysis - Strong understanding of conversion funnels, user behavior, and product metrics - Ability to translate data into actionable product recommendations - Experience using AI tools for analysis, research, and workflow automation PREFERRED QUALIFICATIONS - Experience working with payments and transactional data - Strong understanding of checkout flows and conversion optimization - Experience in gaming, fintech or e-commerce WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Задачи: — Анализировать end-to-end процессы кредитных рисков; — Выявлять процессные и технологические ГЭПы; — Анализировать стратегии принятия решений (rules, cut-off, сегментация); — Документировать бизнес-процессы и логику автоматизированных систем рисков; — Формировать и декомпозировать задачи на доработку процессов и стратегий; — Участвовать в оценке влияния изменений совместно с командой; — Согласовывать решения с портфельными менеджерами и риск-технологами; — Участвовать в планировании релизов и контролировать корректность реализации требований; — Уточнять и структурировать бизнес-требования по новым инициативам. Требования: — Опыт работы бизнес-, системным или риск-аналитиком от 4–5 лет; — Опыт работы в банках, финтехе или кредитных рисках; — Понимание полного кредитного процесса (заявка ➡️ решение ➡️ выдача); — Понимание скоринговых моделей, cut-off стратегий и клиентской сегментации; — Опыт работы с decision engine / rule-based системами; — Навыки анализа, декомпозиции и оптимизации сложных процессов; — Умение выявлять логические противоречия и скрытые проблемы; — Опыт описания бизнес-процессов и бизнес-логики; — Уверенное владение BPMN, схемами процессов и структурированным описанием требований; — Базовые знания SQL; — Опыт взаимодействия с бизнесом, риск-технологами и командами разработки; — Навыки программирования на базовом уровне будут преимуществом. Плюсом будет: — Опыт работы с кредитными decision engine; — Опыт участия в развитии систем автоматического принятия решений; — Понимание архитектуры риск-систем и процессов кредитного конвейера.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE INSURANCE TEAM ⭐️ Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation. - We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance. - We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price. - We build and manage offers for large companies and public institutions with our sales and account management teams. - We make sure our portfolio is closely monitored and risks are effectively managed. - We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators. ⭐️ YOUR ROLE ⭐️  On both Health and Prevoyance businesses, you will: - Define and build the metrics, tools, and dynamic analytics to monitor our portfolio and forecast our margin - Own the quantitative metrics computation to bring added-value to strategic decision makings (portfolio repricing) alongside Strategy and Finance teams - Understand the margin and claims drivers on both gross and ceded business for repricing and offer guarantee adjustments (claims analytics) - Contribute to the reinsurance plans and support the renewal strategy in liaison with the Risk team - Support entities in new countries to define and build their own portfolio monitoring and forecasts ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️  You would be a good fit if you: - Have at least 2 years of experience in insurance and portfolio monitoring - Are fluent in English and French - Are a master of portfolio analytics and  forecasts at the micro level - Are comfortable with SQL and ideally in R or Python - Are analytical and structured, with a fact-based decision-making style - Are willing to deeply change the insurance industry and challenge the status quo For this role we are looking to hire within the C1-D level range https://alan.com/en/careers/a/salary-equity.   🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is looking for a detail-oriented and proactive Media Monitoring Analyst to join our team in Saudi Arabia. In this role, you will be responsible for tracking, analyzing, and reporting on media coverage relevant to our clients and industry sectors. The ideal candidate will have strong analytical skills, a keen eye for detail, and the ability to provide insightful media intelligence that supports strategic decision-making. Key Responsibilities Monitor and analyze media coverage and news trends. Identify and escalate critical media issues. Respond to and track media inquiries. Prepare media monitoring and impact reports. Utilize media monitoring tools and platforms. Support Media Relations and crisis communication activities. Requirements Bachelor’s degree in: Communications, Public Relations, Journalism, Media Studies, Digital Communications, Business Administration or Related field Minimum of 3 years of experience in media monitoring, analysis, or a related role. Experience Minimum 3 year of experience in Media Monitoring, Communications, Public Relations, Journalism, or News Analysis.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.   WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders   WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process   COMPENSATION $112,000 - $168,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.   WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders   WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process   COMPENSATION $112,000 - $168,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that. As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale. This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace. WHAT YOU'LL DO - Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences - Translate support data into clear narratives: what's happening, why, and what to do about it - Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time - Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance - Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need - Work with Harvey's central data team to connect support data to broader product and customer data sources - Identify and close data collection gaps — if we can't measure it, help define how we should - Design feedback loops that connect support signals to Product, Engineering, and Customer Success - Quantify the operational cost of product bugs, feature gaps, and onboarding failures - Contribute to QA analytics as the QA program matures - Track ticket deflection, AI/chatbot performance, and self-service effectiveness - Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools - Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders WHAT YOU HAVE Required - 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function - Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't - SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas) - Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent - Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly - Strong data storytelling — you don't just present numbers, you write the narrative - Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at Strong Plus - Experience with Python for data manipulation or automation - Familiarity with dbt or similar data transformation tooling - Experience building or contributing to QA analytics programs - Background supporting enterprise SaaS or AI-native products - Experience working with Zendesk APIs or extracting data beyond standard reporting Key Attributes - AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier - Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask - Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong - Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself - Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process COMPENSATION $112,000 - $168,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - USA We are seeking a Senior Compensation & Stock Analyst who will serve as a key driver of the evolution of our compensation function through the strategic application of artificial intelligence (AI). This role will blend deep compensation expertise with AI fluency to modernize processes, improve efficiency, drive transparency, and generate insights that enhance decision-making and compensation administration. This individual will support compensation strategy and administration across the organization while leading initiatives that embed AI within our compensation practice. The role will serve as a subject matter expert supporting Clover’s equity compensation programs, partnering closely with Legal, Finance, Payroll, HR, and external vendors to ensure operational excellence, compliance, and a positive employee experience. As a Senior Compensation & Stock Analyst, you will: Advance compensation transparency and understanding across Clover and enhance manager decision-making through creative application of AI Leverage AI tools (e.g., ChatGPT, Claude) to improve compensation workflows, automate data analysis, and strengthen reporting and insights generation Identify and implement AI-driven solutions to automate compensation processes such as salary survey submissions, job leveling, salary band assignment, and compensation analytics Drive advancement of the People Operations team’s AI maturity by testing, piloting, and scaling new tools and methodologies across functions Develop and document compensation policies, practices, and AI-enabled workflows that improve efficiency and scalability Administer the compensation structure and job architecture, providing expert compensation guidance, execution, and education Collaborate with HR Business Partners, recruiters, and managers to develop and implement targeted compensation solutions including guidance for new hires, promotions, retentions, and ad-hoc compensation adjustments Lead end-to-end planning and execution of the annual compensation cycle, bonus cycle, and support annual and off-cycle equity grant processes Support administration of Clover’s equity programs, including annual refresh grants, new-hire grants, promotional grants, and ESPP administration Partner with Legal, Finance, Payroll, HRIS, and external equity administration providers to support compliance with SEC regulations, tax reporting requirements, accounting treatment, and internal controls Support statutorily required auditing, reporting, reconciliations, and documentation related to equity compensation programs and stock administration Assist with preparation of analyses, modeling, and materials for senior executives and the Compensation Committee/Board of Directors related to compensation and equity programs Help maintain equity compensation guidelines, governance documentation, and employee education materials You should get in touch if: You have 5+ years of relevant compensation experience, including experience guiding stock administration and associated regulatory compliance requirements within a public-company environment Advanced proficiency with a variety of AI tools and demonstrated experience leveraging such tools to improve business processes and decision-making Experience identifying opportunities for automation, process optimization, and scalable workflow design within HR or compensation functions Experience partnering with Legal, Finance, Payroll, HRIS, and external vendors on equity administration, taxation, accounting, and compliance matters Hands-on experience with compensation and HRIS systems (e.g., Excel, ADP Workforce Now, Pave, E*Trade, Workday, Shareworks, Carta, Fidelity) Strong analytical, organizational, communication, and presentation skills Proven experience with quantitative and qualitative research methods Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $92,000 — $120,000 USD

Требования: - законченное высшее или среднее специальное образование - готовность пройти стажировку в компании ASTON Обязанности: - обучение 4 месяца 5 дней в неделю - практика на учебных проектах - подготовка к собеседованию и самопрезентации Условия: - стипендия и официальное трудоустройство - первая заработная плата от 80 000 ₽ - доступ к корпоративной программе обучения

StellarTech is a rapidly growing company at the forefront of innovation in the EdTech industry. Our team is focused on building scalable products and sustainable business models that shape the future of education. We are looking for a Product Analyst to join our Platform Development Team. Working hand-in-hand with the Product Manager, you will build product analytics for our core platform from the ground up - and become the person who understands user behavior on the platform better than anyone else. What You'll Do: Build product analytics for the core platform together with the Product Manager: define key metrics, events, funnels, and approaches to evaluating user experience. Design and maintain the event tracking framework - ensuring data is complete, consistent, and trusted across product and technical teams. Identify insights across user journeys, segments, and platform usage scenarios - and automate their regular discovery. Create and evolve dashboards, alerts, and analytics infrastructure used by product and engineering teams for day-to-day decisions. Support product hypotheses with data: validate ideas, evaluate feature impact, and help prioritize the roadmap with evidence. Translate user behavior into clear, actionable recommendations and help teams across the company make data-driven decisions. We're Looking For: 6-8 years of experience as a Product Analyst / Data Analyst in a product IT company (B2C platforms, SaaS, or marketplaces are a plus). Strong SQL skills and confident work with large datasets. Hands-on experience with product analytics tools (Amplitude, Mixpanel, GA4, or similar) and BI tools (Tableau, Looker, Power BI, or similar). Solid understanding of product metrics: activation, retention, conversion, funnels, cohorts, and unit-level user behavior. Experience designing event taxonomies and setting up tracking from scratch or significantly evolving an existing setup. Experience with A/B testing and a working knowledge of statistics for experiment evaluation. Ability to turn ambiguous product questions into structured analyses and clear recommendations. Nice to Have: Python or R for analysis and automation of recurring insights. Experience working with platform/infrastructure products or technical stakeholders (engineers, architects). Experience building analytics processes in a team where analytics did not exist before. Strong communication skills: ability to articulate findings to both technical and non-technical stakeholders. Proactive, problem-solving mindset - comfortable with ambiguity in a fast-paced, evolving environment. Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote. Health: company-provided medical expense compensation. AI solutions: AI subscription and other tools. Balance: Flexible paid time off - 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. --- Hiring Process: 1. Recruiter screen 2. Technical Interview 3. Hiring Manager Interview

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill, offer acceptance, pipeline aging, interview/interviewer effectiveness, and recruiter capacity) — real-time, self-serve, and trusted. - Build headcount + velocity models: Translate hiring targets into pipeline math (volume needed by stage, ETA to close, roles trending behind plan) and tie it to recruiter capacity and prioritization — so leaders see issues early and know what to do about them. - Make talent data decision-grade: Define core recruiting metrics and their definitions, document them, and build toward a single source of truth the team can align on. - Bring signal to pipeline leadership reviews: Show up to pipeline reviews and QBRs with crisp analysis and a recommendation (where the bottleneck is, what changed, what to test next), not just a slide deck. - Improve the recruiting system: Use data to spot where process, calibration, or prioritization is creating drag — and partner with Recruiting and Finance to fix it. - Use AI as leverage in your first 90 days: Use AI to accelerate query iteration, metric QA, and insight narratives (e.g., draft + test SQL approaches, anomaly checks, and concise readouts) while keeping the underlying logic and definitions clean and auditable. SKILLS YOU'LL NEED TO BRING: - Proven ability to build analytics that gets used: You’ve shipped dashboards/models that teams rely on to run real weekly decisions — not one-off reports. - Strong SQL + data modeling judgment: You can write complex queries, debug data issues, and build maintainable models/pipelines that other people can trust. - Quantitative modeling for recruiting problems: You can translate hiring stages into clear funnel math and capacity views, and you know how to stress-test assumptions. - Strategic partner instincts: You anticipate the questions leaders will ask, show up with the analysis, and can say what the data implies for decisions. - AI-fluent, with good taste: You use AI as a daily multiplier (analysis, QA, drafting narratives) and know when to rely on it vs. when to go to first principles. - Build in Notion: You’re comfortable structuring knowledge and workflows in Notion (databases, views, documentation) so your work is easy for others to find, trust, and build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Czechia We are looking for a Data Analyst with expertise in spectroscopy (NIR required), chemometrics, and multivariate data analysis to support the monitoring, validation, and maintenance of authentication models, working closely with Data Scientists in a regulated environment. Requirements Strong background in spectroscopy and chemometrics (NIR mandatory; Raman / FTIR as a plus) Proven experience in multivariate analysis and chemometric modelling (PCA, PLS‑DA, classification models) Ability to monitor, interpret, and maintain model performance across spectral libraries Hands‑on experience with ideally Python‑based data analysis (e.g. Jupyter notebooks, NumPy, SciPy, scikit‑learn) Experience working with validated / regulated environments and producing inspection‑ready documentation Candidates must declare criminal record extract not older than three months Key Responsibilities (scope‑focused): Interpret and monitor performance of authentication models within the spectral library Support creation and review of model snapshots, including associated metadata checks Collaborate closely with Data Scientists and technical teams on model refinement and updates Contribute to model validation, release, and maintenance in support of Authentifield operations Document methods, decisions, and changes in line with governance and compliance expectations Data Science team coordination Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits

Location: Madrid, Spain; Barcelona, Spain; València, Spain Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the insurance industry is required Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills are a plus Must be fluent in Spanish Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Medellin, Colombia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Senior Business Analysts specializing in the mining sector to support M&A advisory and investment banking activities focused on mining-related opportunities. The role bridges technical geological expertise with commercial and financial analysis, evaluating mining assets, transactions, and investment opportunities across the resources value chain. Responsibilities Conduct due diligence on mining assets and companies, integrating geological, technical, and commercial assessments. Build and maintain financial models (DCF, NAV, comparable transactions and companies) for mining projects and corporate transactions. Analyze mineral resource and reserve statements (JORC, NI 43-101, or equivalent) and assess their commercial implications. Evaluate mining project economics, including capex/opex profiles, production schedules, commodity price assumptions, and risk factors. Prepare investment memoranda, pitch books, valuation summaries, and board-level presentations. Monitor commodity markets, mining sector trends, M&A activity, and the competitive landscape. Support deal execution, including coordination with technical consultants, legal teams, and counterparties. Assess geopolitical, permitting, environmental, and ESG risks affecting mining investments. Structure and evaluate alternative and structured financing schemes for mining operations, including metal prepays, royalties, streaming agreements, offtake and marketing arrangements, and debt/equity hybrids, and assess their impact on project economics and counterparty risk. Requirements Bachelor's or Master's degree in Geology, Geological Engineering, Mining Engineering, or Earth Sciences. 5+ years of relevant experience in mining, investment banking, corporate finance, equity research, or technical/financial advisory within the resources sector. Exposure to M&A transactions, project finance, or asset valuation in mining is highly desirable. Formal business education or training is a plus (MBA, finance/business degree, CFA progress, or equivalent practical commercial experience). Demonstrated understanding of mineral resource classification codes (JORC, NI 43-101, SAMREC, or similar). Working knowledge of structured financing instruments used in the mining sector, including prepays, royalties, streams, and offtake agreements. Strong financial modelling and valuation skills. Ability to translate technical geological data into commercial and financial insight. Advanced proficiency in Excel; familiarity with mining technical software (e.g., resource and mine-planning tools) is an advantage. Strong analytical, quantitative, and problem-solving abilities. Excellent written and verbal communication, including report and presentation preparation. Ability to manage multiple workstreams under deadline pressure. Attention to detail and sound commercial judgement. Preferred / Advantageous Experience across multiple commodities (e.g., base metals, precious metals, bulk commodities, battery metals). Knowledge of ESG frameworks relevant to mining. Additional languages and willingness to travel to project sites. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.