Вакансии

MY.GAMES is a major international company engaged in game development, publishing, and promotion.

MY.GAMES is a major international company engaged in game development, publishing, and promotion.

Location: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The newly formed Reference Data Technology Team is building a new reference data system. The team works with stakeholders across Trading, Operations, Compliance and Research to translate business and regulatory requirements into data models, datasets and data quality controls. Your future role within QRT We are seeking an exceptional Reference Data Business Analyst to join our Reference Data Technology Team. The role is expected to involve the following activities: Translate business and regulatory requirements into data entity models and datasets for the new reference data system. Work closely with the Data/Platform Architect to ensure business requirements map cleanly onto the technical model. Gather and validate requirements directly with domain stakeholders across Trading, Compliance and Research. Partner with Trading, Operations and Compliance teams to build automated data quality rules and checks, exception-management workflows and metrics. Provide day-to-day support to business, compliance and technology teams as a subject matter expert on data queries and system behaviour. Apply expert knowledge of equity reference data, related events, and the lifecycle and processing of corporate actions. Support the initial delivery focused on Equities and ETFs and its direct impact on the trading business. Produce data dictionaries, entity relationship diagrams and requirements specifications. Your present skillset Experience producing entity and data models for reference or master data platforms in financial services. Deep working knowledge of ETF reference data, including composition and basket data, creation and redemption mechanics, and identifiers. Hands-on knowledge of ETF corporate actions processing, including dividends, splits, mergers and delistings. Understanding of corporate actions lifecycle stages, timing and effective-date handling, and the downstream impact of processing errors. Experience defining corporate actions data quality rules, including the detection of missed or conflicting action records and effective-date validation. Strong requirements-gathering skills across multiple stakeholder groups, including Trading, Compliance and Operations. Working knowledge of data quality concepts, including completeness, accuracy, timeliness and referential integrity. Ability to translate regulatory and business rules into structured, testable data rules. Comfortable working directly with technical architects to map business requirements onto a reference data model. Strong written documentation skills, including data dictionaries, entity relationship diagrams and requirements specifications. Strong database and SQL skills for data interrogation and analysis. Desirable to have experience or a willingness to learn in the following areas Client and account reference data, including legal entity structures, KYC, account hierarchies and LEIs. Master data management concepts, including golden source, survivorship and entity resolution. Scoping an MVP and maintaining a firm line on deferred scope. Data lineage, metadata cataloguing and associated tooling. Data modelling tools, including entity relationship diagramming and data catalogue tools. UK and EU financial services regulatory frameworks relevant to reference data, including the LEI regime and KYC/CDD requirements. Python experience and knowledge. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

iMedia Solutions — IT-компания полного цикла, которая разрабатывает сайты, веб-сервисы и мобильные приложения, а также занимается UX/UI-дизайном и внедрением сложных технологических решений.

ВкусВилл — российская розничная сеть супермаркетов и сервис доставки продуктов для здорового питания. Вакансия: Сеньор Продуктовый аналитик. Возможность удалённой работы или работы в офисе по желанию (Москва).

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. Where 50 Billion Daily Predictions Begin The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships. The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user. On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible. Your Mission & Who We Are Looking For: - Auction & Marketplace Analytics: You will monitor core ad exchange KPIs—including bid rates, win rates, timeout rates, eCPM, and render rates—and run deep dives to uncover bidding patterns and supply path optimization (SPO) opportunities. We are looking for someone with 2–3 years of experience as a Data or Product Analyst in AdTech (Programmatic, Ad Exchange, SSP, or DSP) who understands what drives marketplace health and revenue. - A/B Testing & Revenue Strategy: You will design, track, and evaluate A/B tests for product features, floor pricing rules, and traffic shaping algorithms. We are looking for a data-driven thinker who loves solving business puzzles, testing commercial hypotheses, and proving what actually moves the needle on product performance. - Advanced Data Extraction: You will query massive datasets to turn millions of raw ad events into clear business answers. We need advanced SQL skills to effortlessly query billions of rows, spot anomalies, and translate complex metrics into clear, actionable recommendations for our product and demand teams. - Traffic & Cost Efficiency: You will analyze bid request data to identify inefficient traffic and help product managers design smart routing rules. We need an analyst who can balance top-line revenue with operational costs, finding ways to streamline traffic (Queries Per Second) without sacrificing publisher earnings. - Executive Dashboarding & Reporting: You will build automated, easy-to-read dashboards that give Product, Engineering, and Demand Partnerships real-time visibility into campaign performance. We are looking for hands-on experience with BI tools like QuickSight, Tableau, Looker, Power BI, or Redash to make key business numbers intuitive and accessible to everyone. - Agile Project Execution: You will balance scheduled analytics projects with quick-turnaround deep dives when marketplace metrics shift unexpectedly. We need a hands-on, proactive analyst who thrives in a fast-paced environment and can independently manage multiple analytical priorities. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Требования: — Фокус: CDP, DWH-модели, dbt, Data Vault 2.0 — Стек: SQL, dbt, Data Vault 2.0, Data Modeling, Source-to-Target Mapping, Data Documentation на английском языке — Опыт работы аналитиком данных / analytics engineer от 3 лет — Уверенный SQL — Практический опыт с dbt — Понимание принципов моделирования данных — Опыт или хорошее понимание Data Vault 2.0 — Умение документировать данные, метрики и бизнес-правила — Готовность писать описание данных на английском языке — Самостоятельность на уровне Middle+: умеет разбираться в источниках, задавать правильные вопросы и доводить модель до production-ready состояния — Будет плюсом: опыт в CDP / CRM / customer analytics, опыт работы с DWH и витринными слоями данных, понимание event-driven данных и клиентских событий, опыт описания data contracts, data lineage или business glossary Обязанности: — Разработка и поддержка моделей данных в dbt — Проектирование аналитических сущностей и витрин — Работа с Data Vault 2.0: hubs, links, satellites, marts — Написание и оптимизация SQL-запросов — Описание данных и подготовка технической документации на английском языке — Анализ источников данных и согласование бизнес-правил — Участие в развитии CDP-контуров: клиентский профиль, события, атрибуты, сегменты — Проверка качества данных и базовая data validation

Требования: — Высшее образование и стаж работы по аналогичному направлению не менее 5 лет, в том числе в должности старшего бизнес-аналитика не менее 2 лет. — Знания одной или нескольких предметных областей: финансы и бухгалтерия, логистика и транспорт, контроллинг, управление персоналом, ИТ процессы. — Опыт разработки нормативной документации и анализа бизнес-процессов. — Общие знания архитектурных стандартов (организация системы, взаимоотношения элементов системы друг с другом и со средой). — Общие знания стандартов в области информационной безопасности. — Опыт работы в одной из следующих сфер бизнеса не менее двух лет: крупные торговые предприятия и сети, разработчики и компании-интеграторы программного обеспечения, консалтинговые компании, крупные финансовые организации, телекоммуникационные фирмы. — Опыт работы по специальности старшего системного или бизнес-аналитика не менее двух лет. — Опыт работы по разработке требований к BI-отчетности. — Опыт работы по разработке и моделированию бизнес-процессов не менее двух лет. — Наличие опыта непосредственного взаимодействия с заказчиками и описания бизнес процессов. — Опыт реализации крупных ИТ проектов, связанных с автоматизацией отчетности. — Базовое владение SQL. — Общее понимание состава баз данных. — Опыт оптимизации бизнес-процессов по направлениям. — Опыт разработки нормативной документации (положения, регламенты, процедуры, правила и т.д.). Задачи: — Оценка влияния изменений при автоматизации отчетности, своевременное вовлечение соответствующих экспертов в процесс согласования изменений. — Подготовка материалов и проведение презентаций по предложениям оптимизации отчетности для владельцев бизнес-процессов. — Подготовка предложений по совершенствованию методики обследования бизнес-процессов. — Обеспечение процесса разработки, согласования и оценки бизнес-функциональных требований (БФТ), в том числе: o сбор и анализ требований по автоматизации отчетности, либо изменению существующих решений автоматизации со стороны бизнес-заказчиков; o формализация и документирование БФТ с бизнес-заказчиками; o подготовка моделей, отражающих целевое состояние автоматизации в соответствии с БФТ; o подготовка предложений по оптимизации процессов в исходных системах в соответствии с передовыми мировыми практиками в розничной торговле и трендами автоматизации бизнес-процессов; o оценка степени влияния планируемых изменений в отчетности на смежные подразделения и процессы, контроль вовлечения соответствующих экспертов в процесс согласования; o обеспечение согласования БФТ с заказчиками и экспертами предметных областей; o разработка прототипов, моделей и алгоритмов, проектируемых решений; o контроль процесса оценки трудозатрат и сроков реализации бизнес-требований консультантами и/или экспертами функциональных областей; — Первичное тестирование разработок на предмет соответствия согласованным БФТ, контроль устранения ошибок при разработке ПО.

Location: Philippines About the Role: We are looking for a motivated and detail-oriented Business Analyst Intern to join our team. This is an excellent opportunity for students or recent graduates with a keen interest in product, data, and process improvement to gain real-world experience in a fast-paced, tech-driven environment. Key Responsibilities: Assist in gathering, analyzing, and documenting business requirements. Support product and engineering teams with clear specifications and process flows. Collaborate with cross-functional teams to help identify pain points and recommend solutions. Prepare and maintain documentation such as user stories, acceptance criteria, and workflows. Participate in meetings and communicate updates with stakeholders. Analyze data to generate insights that support decision-making and product development. Requirements: Currently pursuing or recently graduated with a degree in Business, Computer Science, Information Systems, or a related field. Understanding of SDLC, user stories, and requirements gathering Strong communication skills – both written and verbal. Excellent organizational and documentation skills. Familiarity with tools such as Excel, Notion, Jira, or Figma. Comfortable working with data; experience with SQL, Looker, Tableau, or Google Sheets modeling is a plus. Self-motivated and eager to learn in a collaborative environment. Must be based in the Philippines. Bonus Points For: A background in Computer Science or technical experience. Interest in product management or software development lifecycle. What You'll Gain: Hands-on experience working with an experienced team of analysts, designers, and engineers. Exposure to product development processes in a high-growth insurtech environment. Opportunities to develop both technical and business skills that are in high demand.

Location: District 3, Vietnam Location: Vietnam – Ho Chi Minh City (Hybrid preferred: 2–3 days/week in office) About the Role: We are looking for a motivated and detail-oriented Business Analyst Intern to join our team. This is an excellent opportunity for students or recent graduates with a keen interest in product, data, and process improvement to gain real-world experience in a fast-paced, tech-driven environment. Key Responsibilities: Assist in gathering, analyzing, and documenting business requirements. Support product and engineering teams with clear specifications and process flows. Collaborate with cross-functional teams to help identify pain points and recommend solutions. Prepare and maintain documentation such as user stories, acceptance criteria, and workflows. Participate in meetings and communicate updates with stakeholders. Analyze data to generate insights that support decision-making and product development. Requirements: Currently pursuing or recently graduated with a degree in Business, Computer Science, Information Systems, or a related field. Understanding of SDLC, user stories, and requirements gathering Strong communication skills – both written and verbal. Excellent organizational and documentation skills. Familiarity with tools such as Excel, Notion, Jira, or Figma. Comfortable working with data; experience with SQL, Looker, Tableau, or Google Sheets modeling is a plus. Self-motivated and eager to learn in a collaborative environment. Based in Ho Chi Minh City with the ability to work 2–3 days per week in our office preferred. Bonus Points For: A background in Computer Science or technical experience. Interest in product management or software development lifecycle. What You'll Gain: Hands-on experience working with an experienced team of analysts, designers, and engineers. Exposure to product development processes in a high-growth insurtech environment. Opportunities to develop both technical and business skills that are in high demand.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice. We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something. We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI. Key responsibilities Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios Minimum qualifications Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each Preferred qualifications Experience in GTM, revenue or finance systems roles Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara) Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs Basic SQL and comfort using a data warehouse to check launch data Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. In this role, you will convert complex products and payment capabilities into scalable, controlled, customer-focused operations. Collaborating across Operations with various partners, you will design end-to-end workflows by translating product and regulatory requirements, establishing controls, identifying automation, and ensuring launch readiness. You will initially establish operational foundations for new digital-asset and stablecoin capabilities, collaborating across Risk, Compliance, and Merchant teams to create clear, executable processes. - Design operating models: Lead end-to-end process design and redesigns for new product launches across operational functions such as Risk, Compliance, and Merchant Operations. - Operationalise capabilities: Translate product, regulatory, and technical requirements into actionable processes, controls, and handoffs. - Digital-asset operations: Apply crypto (stablecoin), blockchain, and fintech knowledge to build safe, scalable, and compliant operations. - Drive clarity & alignment: Structure ambiguous problems, identify risks, and align cross-functional stakeholders. - Scale & optimise: Establish governance, metrics, controls, and automated workflows using AI and modern tooling. WHAT WE’RE LOOKING FOR - Digital Assets & Payments Implementation: A strong background in digital assets, crypto (specifically stablecoin), blockchain technology, and implementing regulated payment capabilities. Hands-on experience leveraging AI tools, agents, and automation to transform operational processes into scalable workflows. - Operational Excellence & Process Design: 3+ years in process design or operational excellence driving transformation in fintech. Demonstrated ability to apply structured process methodologies (e.g. Lean Six Sigma) to solve complex, ambiguous problems. - Cross-Domain Agility: Proven ability to work across multiple operational functions (e.g. Risk, Compliance, and Merchant servicing) to support cross-functional operational requirements. - Stakeholder Influence: Strong analytical skills with the ability to align cross-functional teams without direct authority. You must communicate clearly across technical, operational, and executive audiences. PREFERRED QUALIFICATIONS - End-User Product Experience: Experience supporting or launching end-user facing product capabilities, digital assets, or regulated payment implementations. - Advanced AI & Automation: Proficiency with AI tools/platforms (e.g., Claude, Codex, custom agents), workflow automation, process mining, or operational analytics. - Process Methodologies: Familiarity with Lean, Six Sigma, PMP, or structured transformation frameworks. - Cross-Functional & Governance Operations: Experience across multiple operational functions (Risk, Compliance, Merchant) and establishing governance, operating procedures, and control frameworks. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: New York, NY (HQ); San Francisco, CA; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is in a critical phase of growth, and marketing is one of the biggest drivers of it. We're building out our business systems team to make sure the systems behind every campaign, list, and lead can keep up. You'll work directly with Growth Marketing, Demand Generation, Lifecycle, Events, Sales Development, and Sales to own the systems that turn marketing programs into pipeline. You'll own HubSpot and how it connects to Salesforce and the rest of our GTM stack. What You'll Do - Own top-of-funnel marketing systems: the roadmap, the architecture decisions inside them, and their operational health - Run HubSpot as a system, not just a tool: workflows, lists, forms, properties, lifecycle stages, and the permissions and naming conventions that keep it from sprawling - Run campaign operations end-to-end: program and campaign structure, campaign membership and status, event and webinar lead capture, and launch QA, so Marketing can ship quickly without creating data debt - Own workflow management in HubSpot: build, document, and audit nurture, enrollment, and suppression workflows, and retire the ones that no longer earn their place - Build and govern lists: ICP segmentation, inclusion and suppression logic, enrichment, and email validation between a Growth request and a send. Every list should be reproducible and explainable. - Own privacy and opt-out management: subscription types, consent capture, unsubscribe and opt-out handling across HubSpot, Salesforce, and sales engagement tools, and compliance with CAN-SPAM, GDPR, and CCPA in a regulated fintech environment - Design and maintain UTM tracking and attribution architecture: UTM taxonomy and governance, hidden-field capture on forms, lead source and original source logic, and how campaign touches flow into Salesforce, so the attribution reporting is something the business trusts - Build the Salesforce automation behind marketing handoffs: record-triggered flows, validation rules, fields, and permission sets - Use AI to automate the work where it holds up: enrichment, list QA, data quality checks, and request triage - Prioritize incoming requests by ROI. Decide what gets built, deferred, or declined, and show the numbers behind each call. What You'll Need - 5+ years in marketing operations, business systems, or revenue operations at a fast-paced B2B company - Deep hands-on HubSpot experience: workflows built and debugged, and list, form, and property architecture you designed rather than inherited - Hands-on campaign operations experience: you've built campaign structures and owned the lists and sends behind real programs - A working command of email privacy and consent: subscription management, opt-out handling across systems, and the regulations behind them - UTM and attribution architecture you've owned in practice: taxonomy, capture, lead source logic, and the MQL-to-SQL handoff - Salesforce Admin experience, including flows you built and debugged when they broke (certification is a plus) - A habit of framing problems rather than waiting for a spec: you take on ambiguous requests, make the decisions, and ship - You dissect a problem, drive it to completion with little supervision, and can explain the tradeoffs to any audience Nice to Have - Enrichment and routing tools such as Clay, ZoomInfo, LeanData and Chili Piper - Sales engagement and automation platforms such as Outreach and Workato - Deliverability and list hygiene at high sending volume - Paid media and ad platform integrations, including conversion tracking - Lead scoring and MQL model design - Snowflake, Looker, or similar BI and warehouse tools - Linear or similar project management software BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Mycar Digital — цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры. Офис или гибрид (Алматы, Казахстан).

Location: Amsterdam; Spain Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Location: Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Sofia, Bulgaria Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Munich Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Munich, Germany Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Требуется системный аналитик. Требуемые навыки: SQL, REST, SOAP, BPMN. Возможна удалённая работа.