Задачи:
— Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации.
— Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика.
— Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей.
— Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели.
— Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста.
— Строить и поддерживать аналитические и функциональные dashboards.
— Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз.
— Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации.
— Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта.
Требования:
— Опыт работы в data analytics от 7 лет.
— Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики.
— 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing.
— Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др.
— Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез.
— Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации.
— Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами.
— Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования.
— Знание Python или R для аналитики, автоматизации и моделирования.
— Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных.
— Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker).
— Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
— Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику.
— Сильные аналитические способности и системное мышление.
— Внимание к деталям, высокий уровень самоорганизации и ответственность за результат.
— Умение понятно доносить технические выводы до нетехнических команд.
— Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин.
Условия:
— Удаленный формат взаимодействия.
— График: с 10:00 до 19:00 по времени Кипра.
— 20 дней отпуска и оплачиваемые больничные.
— Зарплата - по договоренности, в зависимости от Вашего уровня и опыта.
— Работаем по праздничному календарю Кипра.
— Испытательный срок - 3 месяца.
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра
Задачи:
— Анализировать эффективность маркетинговых активностей и искать точки роста;
— Разрабатывать и поддерживать систему аналитической отчетности;
— Работать с маркетинговой командой над аналитическими инструментами;
— Собирать, обрабатывать и анализировать большие объемы данных (Python, SQL).
Требования:
— От 3 лет опыта в маркетинговой аналитике;
— Отличное знание Python и SQL;
— Понимание статистики, A/B-тестирования и маркетинговых метрик (CPM, CPC, CPI, CPA, ROAS);
— Знание принципов атрибуции мобильных и веб-приложений;
— Сильное аналитическое мышление;
— Опыт в fintech и знание Google Ads/Facebook Ads - плюс;
— В первую очередь рассмотрим кандидатов, которые уже находятся на Кипре.
Условия:
— Работа в современном офисе в Лимасоле (15 минут от моря);
— High-load продукт и сильную команду профессионалов;
— Гибкое начало рабочего дня;
— 22 рабочих дня отпуска;
— Обеды, снеки, компенсацию спорта;
— Курсы английского и греческого;
— Корпоративные мероприятия, спорт и активное комьюнити.
Компания, работающая в сфере финтех и предоставляющая услуги CFD-брокера, ищет маркетингового аналитика уровня Middle или Senior. Основные рынки присутствия включают Латинскую Америку, регионы MENA, Южную Африку и Юго-Восточную Азию. Работа предполагает присутствие в офисе, расположенном в Лимассоле (Кипр), с возможностью гибкого графика. Зарплата обсуждается индивидуально и может частично выплачиваться в криптовалюте или евро. В коллективе преимущественно говорят на русском языке.
ОфисmiddleЛимассол
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Location: Yerevan, Armenia
Description
The Market Research Case & Strategy Analyst evaluates iGaming markets, competitors, and target operators to support Digitain's market entry decisions, commercial strategy, and sales engagement, delivering actionable insights for Sales, Product, and Leadership teams.
As Market Research Case & Strategy Analyst, you will assess priority markets, analyze competitor strategies and industry success stories, and identify operators that are strong migration opportunities for Digitain. Your work will directly shape which markets we enter, when and how, and which operators we pursue.
Responsibilities
Evaluate target markets for product launches, sales activation, and strategic entry, analyze competitors’ entry experiences, launches, regulatory adaptations, and operational challenges to identify practical lessons
Analyze market growth, trends, and maturity across macroeconomic, demographic, fiscal, regulatory, competitive, and operational indicators; assess industry success stories for applicable drivers of revenue growth, player acquisition, and innovation adoption
Monitor industry investment and expansion trends; evaluate business strategies, growth models, and partnerships across the iGaming market
Track existing and upcoming regulations, B2B licensing frameworks—including those in planning—and licensing tenders to identify entry requirements, timely sales opportunities, and operators needing platform solutions
Assess market attractiveness through size, growth, competition, regulatory stability, and business impact; benchmark key competitors’ entry strategies, operations, pricing, and long-term positioning
Develop forward-looking market assessments to identify early-entry advantages ahead of leading competitors
Evaluate market-specific product readiness across platform capabilities, sportsbook, casino content, payments, and compliance tools; research operators’ integrations, supported languages, content providers, and technical partners to identify gaps and adaptations
Collaborate with Market Intelligence, Product Innovation, and Product teams to integrate insights into actionable analyses and document required adaptations or new tool recommendations in execution-ready formats
Work with Legal and Compliance teams to assess regulatory gaps and market-specific technical compliance obligations
Produce market entry reports, opportunity briefs, gap analyses, case studies, and strategic briefs for Sales, Product, and Leadership; recommend entry timing, product priorities, and investment focus, contributing to BRDs, PRDs, budgets, and financial documentation
Continuously monitor researched markets for regulatory and competitive changes, updating assessments and recommendations
Source and validate research using industry intelligence, regulatory publications, financial reports, competitor filings, databases, interviews, and historical performance metrics
Identify potential platform migration targets and conduct pre-engagement research using operator news, public announcements, and industry publications
Analyze target operators’ financial and performance indicators, including GGR, traffic, and player base
Assess operators’ geographic footprint and technology stack, distinguishing between in-house and third-party platforms
Requirements
Bachelor's or Master's degree in Economics, Business, Finance, International Relations, or a related field
3+ years of experience in market research, market entry strategy, strategy consulting, competitive or sales intelligence, or business analysis, ideally within iGaming. Experience in fintech, telecom, or other heavily regulated multi-market industries will also be considered
Demonstrated experience conducting market entry assessments and in-depth case studies of companies, ideally with direct influence on go/no-go or timing decisions
Strong analytical and strategic thinking skills, with the ability to synthesize complex multi-source data into clear, executive-ready reports and presentations
Experience working with company financials and performance metrics (GGR, traffic, revenue). Familiarity with iGaming operator economics and platform/technology stacks is a strong advantage
Exposure to product readiness or gap analysis work across platform, sportsbook, casino, or payment capabilities is a strong plus
Understanding of compliance, licensing, and regulatory tender processes, or the ability to work closely with Compliance and Legal teams
Excellent research and written communication skills, with a proven ability to produce decision-ready reports, case studies, and strategic briefs
Proficiency in Excel/data analysis tools. Experience with BI, market intelligence, or CRM platforms is a plus
Fluent English (written and spoken). Knowledge of additional languages is a plus
Location: Yerevan, Armenia
Description
As a key member of our growing research team, the Market Intelligence Expert serves as the company's eyes and ears across the global iGaming landscape. This role is responsible for tracking industry movements, competitive dynamics, regulatory shifts, and market-level signals that inform Digitain's strategic direction across Sales and Product functions.
The Market Intelligence Expert occupies a critical position at the intersection of research and strategy. You will be responsible for monitoring and synthesizing information across competitors, emerging markets, regulatory bodies, and industry events — transforming raw intelligence into actionable insights that power Digitain's commercial and product teams.
Responsibilities
Monitor and analyze emerging trends in the iGaming industry — including regulatory changes, technological advancements, market shifts, and upcoming innovations
Track major players in the iGaming ecosystem by reviewing quarterly and annual reports, financial performance, revenue growth, and strategic announcements
Evaluate sales and market growth by region, assessing key growth indicators, player acquisition trends, and penetration in both regulated and emerging markets
Research product developments across the iGaming industry, including new tools, features, and integrations, and their potential market impact
Assess operational network expansion — tracking growth in B2C operator networks and B2B partnerships, including platform adoption rates
Monitor industry activity across public sources, including websites, conferences, press releases, and social media
Identify early signals of market expansion across the industry
Conduct competitive analyses of key iGaming players, including performance benchmarking and threat/opportunity identification
Prepare and deliver high-quality research outputs: detailed reports, trend summaries, competitive landscapes, and presentations for internal stakeholders
Source and validate data from industry reports, financial filings, news platforms, conferences, and proprietary tools
Collaborate with team members to translate research findings into strategic recommendations and contribute to BRD/PRD preparation
Proactively anticipate industry shifts (e.g., new regulations in Latin America, Asia, Africa) and alert relevant teams to emerging risks or opportunities
Requirements
Bachelor's or Master's degree in Business, Economics, Marketing, Finance, or a related field
5+ years of experience in market research, competitive intelligence, business analysis, or strategic research, with a strong preference for candidates from iGaming, fintech and e-commerce
Proven track record of owning market intelligence or competitive analysis functions and reporting insights as market conditions change
Deep, demonstrable knowledge of the global iGaming ecosystem: sportsbook and casino platforms, B2B/B2C business models, payment solutions, and regulatory frameworks across key regions is preferable
Experience analyzing financial/annual reports, investor disclosures, industry publications and market data to assess and validate competitor performance and strategic direction. Strong strategic and critical thinking skills — able to identify and connect non obvious signals (regulatory shifts, hiring trends, product launches, social/media activity) into them into early-warning insights
Ability to turn complex research into clear, decision-ready reports and presentations for stakeholders and leadership
Experience with competitive intelligence platforms (e.g., Similarweb, H2gc, LinkedIn Talent Insights) is a strong plus
Ability to work autonomously and take full ownership of the market intelligence function, setting priorities with minimal oversight
Strong stakeholder management skills — able to balance competing requests from Sales and Product teams and prioritize based on strategic impact
Proven ability to manage multiple concurrent research streams under tight timelines in a fast-moving, competitive industry
Fluency in English (written and spoken); additional languages (Russian, Spanish, Portuguese) are a plus
Задачи:
— собирать запуски основной программы и курса по нейросетям;
— вести воронку целиком: контент, бот, рассылки, заявка и оплата;
— выстроить аналитику;
— находить этапы, на которых теряется аудитория;
— тестировать коллаборации, мини-продукты и платный трафик;
— работать с Telegram и Instagram-прогревами.
Требования:
— реальные кейсы запусков с цифрами по базе, конверсии и выручке;
— понимание воронок;
— умение работать с ботами и рассылками;
— способность мыслить гипотезами;
— самостоятельность;
— опыт EdTech или креативных ниш будет преимуществом.
Условия:
— удалённая работа;
— заработная плата обсуждается по итогам собеседования;
— после знакомства предусмотрено небольшое тестовое задание.
Location: Lisbon, Portugal
JoomPro
is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today, JoomPro operates in Brazil and Mexico, with plans to expand into other markets.
JoomPro is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom Group also includes other businesses: Joom, a global cross-border marketplace; JoomPulse, an AI analytics tool for Mercado Livre and Shopee sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Portugal, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.
We're now looking for an experienced
Marketing Data Analyst
to strengthen our analytics team and help turn data into insights that drive smarter decisions, improve channel performance, and optimize marketing investments.
About the team
Our analytics team helps the business make smarter, data-driven decisions. We focus on:
Optimizing marketing budgets and channel mix to maximize efficiency
Building dashboards and analytical tools for decision-making, ROI forecasting, and strategic planning
Designing and analyzing experiments to measure channel performance and incrementality
Developing alerting systems to monitor spend, efficiency changes, and data quality
Supporting budget planning, marketing strategy, and market research
Why join us
Real business impact: your work directly influences ROI and growth
Access to advanced AI tools (Cursor, ChatGPT, Gemini, Claude)
Strong analyst community & cross-team knowledge sharing
Matrix structure: your manager is also an analyst
Transparent growth path & structured onboarding
Open culture with minimal bureaucracy
Responsibilities
Evaluate the effectiveness of existing and new advertising channels (Google Ads, Meta Ads, etc)
Set up and improve monitoring of statistical anomalies in metrics
Improve long‑term payback prediction models
Generate hypotheses to improve acquisition/product feeds/ad creatives/channel split/targets, etc.
Conduct data studies to uncover insights
Write ETL pipelines (data marts, alerts, and predictions)
Ask “why” and “what problem are we solving”
Requirements
Experience in data analysis, experience in marketing analytics
Understanding of marketing KPIs, attribution models, and the problems ad platforms solve
Knowledge of mathematical statistics and experience applying it
Ability to write complex SQL queries
Data analysis skills in Python
Ability to choose the right evaluation approach — analytics, research, or use of external data
Ability to solve non‑trivial problems under incomplete data
Attention to detail and ability to see any task through to completion
Good english verbal and written communication skills (B2+)
Preferred
Experience running A/B, geo, and other types of experiments
Experience in econometrics
We offer
Compensation package: base salary and performance-based bonuses
Relocation support: full assistance for a smooth relocation for the employees and their family to Lisbon, Portugal
Office-first: flexible hours with a possibility to work remotely 52 days per year
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
Before applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Задачи:
— Анализировать рынок, конкурентов, тренды и новые продукты
— Строить продуктовую матрицу и продуктовые линейки
— Сегментировать клиентов и определять целевые группы
— Готовить аналитические отчеты для руководства
— Участвовать в разработке стратегии продуктового портфеля
— Взаимодействовать с отделами продаж, закупок и разработки
Требования:
— Опыт в маркетинге, продуктовой аналитике или стратегическом маркетинге от 3 лет
— Опыт анализа рынков, продуктов, конкурентов в B2B
— Умение работать с данными, строить выводы и рекомендации
— Навыки сегментации рынка и клиентов
— Понимание B2B-маркетинга и циклов продаж
— Уверенное владение Excel, PowerPoint, CRM
— Аналитический склад ума, системное мышление
— Самостоятельность, инициативность, проактивность
Будет преимуществом:
— Опыт в ветеринарии, фармации, медицине, биотехнологиях
— Опыт работы с продуктовым портфелем и запуска новых продуктов
— Знание Power BI или аналогичных инструментов
— Понимание специфики ветеринарного рынка
Условия:
— Формат работы: офис
— График: 5/2, полный день
— Заработная плата: 120 000-140 000
— Официальное трудоустройство
— Возможность влиять на продуктовую стратегию
— Профессиональный рост и развитие
Senior Marketing Analytics Consultant в Improvado. Требования: владение SQL, Looker, Power BI или Tableau, уровень английского C1. Компания Improvado — сервис для агрегации маркетинговых данных, среди клиентов ASUS, illy, Wrike и другие. Размер команды — 150 человек, инвестиции — $34M.
Заказчик: компания, которая более 8 лет занимается закупкой и монетизацией трафика, а сейчас развивает собственные мобильные приложения (рекламная монетизация).
Формат работы: удаленка.
Локация и график работы: компания находится на Кипре, работа с 10 до 19 по Кипру.
Ваша локация - еврозона или Азия, не РФ.
Оформление: B2B договор.
Задачи:
— Работа с Big Data на основе баз данных Нильсен;
— Подготовка отчетов, обзорных презентаций и аналитики по бизнес вопросам клиентов (FMCG-рынок);
— Анализ ценовой политики, дистрибуции, ассортимента, промо и других характеристик по фокусному бренду клиента и конкурентам;
— Поиск возможностей развития и выдвижение рекомендаций для клиентов-производителей и ритейлеров на основе данных ритейл-аудита;
— Подготовка аналитических материалов для конференций, СМИ, телеграмм канала, сайта Нильсен;
— Проведение тренингов для клиентов по аналитике;
— Презентация результатов аналитики внешним и внутренним клиентам оффлайн и онлайн.
Требования:
— Высшее образование бакалавриат/магистратура или также студент магистратуры (экономический, статистический, математический, маркетинговый профиль);
— Английский: intermediate и выше;
— Продвинутый Excel и PowerPoint, умение обрабатывать большие массивы данных;
— Аналитический склад ума;
— Уверенные презентационные навыки;
— Навыки деловой коммуникации и клиентоориентированность.
Условия:
— Оформление по ТК РФ;
— Формат работы - гибрид;
— Мобильная связь и ноутбук;
— Бенефит-кафе: ДМС, фитнес, обучение, отдых и оздоровление;
— Программа компенсации больничных листов;
— Программа привилегий PrimeZone;
— Возможность участия в сообществах компании;
— Тренинги и обучающие курсы.
Задачи:
— Отчетность по эффективности User Acquisition: анализ расходов, CPA, ROAS, воронки от клика до FTD с разбивкой по каналам, кампаниям, географиям и партнерам.
— Сверка данных между рекламными кабинетами, AppsFlyer и корпоративным хранилищем данных, выявление и расследование расхождений.
— Ответственность за настройки атрибуции и conversion postbacks в рекламные кабинеты Facebook и Google.
— Аналитика affiliate- и партнерского трафика, мониторинг качества источников и выявление проблемных площадок.
— Определение требований к сбору данных: какие поля и события необходимо собирать и из каких источников их получать.
— Расследование проблем с трекингом: потеря событий, некорректная атрибуция, дублирование данных, аномалии в расходах.
— Регулярное взаимодействие с UA-командой: объяснение текущей динамики показателей, причин изменений и их влияния на бизнес-метрики.
Требования:
— От 3 лет опыта в маркетинговой или продуктовой аналитике с фокусом на User Acquisition.
— Уверенный SQL: агрегации, оконные функции, самостоятельная работа с сырыми данными.
— Опыт работы с MMP (AppsFlyer, Adjust, Branch): атрибуция, postbacks, deeplinks, понимание различий между web- и in-app-трекингом.
— Понимание моделей атрибуции и их ограничений, способность объяснить расхождения между данными рекламных кабинетов и внутренними данными компании.
— Практический опыт работы с Facebook и Google Ads на уровне данных: структура кампаний, выгрузки, работа с API.
— Опыт анализа юнит-экономики User Acquisition: CPA, ROAS, окупаемость когорт (cohort payback).
— Опыт работы с BI-инструментами: Power BI, Metabase, Tableau или аналогами.
— Способность самостоятельно находить первопричину расхождений в данных, а не только фиксировать и передавать информацию о проблеме.
Будет плюсом:
— Опыт работы в fintech, trading, iGaming или других вертикалях с высоким CPA.
— Python для обработки данных и работы с API рекламных платформ.
— Опыт работы с affiliate-трафиком и антифрод-системами.
— Опыт работы с web-аналитикой: GA4, GTM, server-side tracking.
Задачи:
— поиск и анализ информации по рынку туризма и гостеприимства и смежным сегментам;
— проведение детального анализа рынка для размещения будущего объекта развития, развития территории: анализ локации, определение целевой аудитории, анализ бизнеса, оценка финансово-экономического состояния гостиничного рынка, анализ конкурентной среды, анализ тенденций развития;
— составление отчета на основании анализа выше в виде презентации;
— активное участие в разработке и определении оптимальной концепции будущего проекта;
— участие в разработке концепций объектов, брендов компании и стратегий отдела и компании, в целом.
Требования:
— высшее образование;
— владение английским является преимуществом;
— опыт работы не менее 2-х лет;
— опыт маркетинговых исследований сфере гостеприимства обязателен;
— знание MS Office, опыт работы с ИИ для создания визуальных решений;
— желание расти и развиваться, креативное мышление, умение работать в режиме многозадачности и больших объемов, быстрая обучаемость, стрессоустойчивость;
— опыт работы в отельном/гостиничном бизнесе или в отделе продаж международных гостиничных сетей (в том числе в направлении Reactive Sales — работа с группами и мероприятиями) будет преимуществом.
Условия:
— официальное оформление, по ТК РФ с первого дня работы;
— корпоративные мероприятия;
— корпоративное обучение;
— ДМС после прохождения испытательного срока;
— бонусы и скидки на услуги наших отелей для вас, членов семьи и друзей;
— график работы 5/2 (офис), с 9.00 до 18.00, пятница до 16.45;
— работа в офисе, вакансия не предполагает удаленный или гибридный формат;
— уютный офис в пешей доступности от станций метро «Сухаревская».
Задачи:
— Сбор и анализ бизнес- и технических требований
— Коммуникация с клиентом и внутренними командами
— Управление scope проекта
— Подготовка BRD, SRS, user stories, acceptance criteria
— Участие в acceptance testing
— Анализ бизнес-процессов и поиск улучшений
— Координация ожиданий стейкхолдеров
Требования:
— 4+ года опыта Business Analyst
— Практический опыт с Salesforce Marketing Cloud
— Понимание процессов разработки ПО
— Сильные навыки business/system analysis
— Опыт CRM-интеграций: Salesforce ↔️ CRM / ERP / third-party systems
— Опыт с requirements documentation
— Сильная коммуникация и negotiation skills
— Английский B2+
— Опыт Enterprise CRM ecosystems (плюсом)
— Опыт Marketing automation (плюсом)
— Опыт International distributed teams (плюсом)
Условия:
— Удалённая работа
Задачи:
— Сбор и анализ бизнес - и технических требований
— Коммуникация с клиентом и внутренними командами
— Управление scope проекта
— Подготовка BRD, SRS, user stories, acceptance criteria
— Участие в acceptance testing
— Анализ бизнес-процессов и поиск улучшений
— Координация ожиданий стейкхолдеров
Требования:
— 4+ года опыта Business Analyst
— Практический опыт с Salesforce Marketing Cloud
— Понимание процессов разработки ПО
— Сильные навыки business/system analysis
— Опыт CRM-интеграций: Salesforce ↔️ CRM / ERP / third-party systems
— Опыт с requirements documentation
— Сильная коммуникация и negotiation skills
— Английский B2+
Плюсом:
— Enterprise CRM ecosystems
— Marketing automation
— International distributed teams
Location: North America - Remote
Workplace: Remote
Douro Labs is the core development team behind the Pyth Network. We're looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth.
This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth).
- Location: Remote (US or Europe)
- Type: Full-time
- Reports to: Head of Technical Operations
About Our Team and Your Role
We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate.
Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm.
Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction.
The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data.
About the Role
This is a hybrid research/strategy role. At the outset, you'll monitor prediction markets and perps day to day and connect what's happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth.
We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it.
Responsibilities
Market Monitoring
- Track news, launches, and structural shifts across prediction markets and perpetual futures
- Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early
- Follow volumes, open interest, funding rates, and market share across major venues
- Connect recent events to their impact on Pyth and share timely takeaways with the team
- Maintain a current view of the competitive landscape, including oracles and data providers serving these markets
User Research
- Research prediction market and perps protocols to understand how they use price data
- Map who our users are, what they need, and where current solutions fall short
- Build dashboards and datasets the team can use to follow these markets
Product Opportunities
- Turn research findings into concrete product ideas for Pyth
- Size opportunities using market and on-chain data
- Work with product, engineering, and BD to prioritize and pressure-test ideas
- Track how launched initiatives perform against the original thesis
Research and Reporting
- Write clear, convincing research reports for internal and external audiences
- Present findings and recommendations to leadership
- Build a repeatable research process the team can rely on
About You
- Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market
- Deep understanding of prediction market and perpetual futures market structure
- Active in trader communities and comfortable picking up signal from X, Discord, and Telegram
- Proficient with data analysis tools (SQL, Python, Dune or similar)
- Strong writer with a track record of research that drives decisions
- Analytical and a self-starter, comfortable owning a research agenda independently
- Comfortable with startup pace and evolving scope
Think you've got what it takes to build the most talented team in the world? We'd love to meet you.
Location: San Francisco, CA | New York City, NY
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
As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works.
In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel.
Key responsibilities
Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage
Set the direction for the framework and extend it to programs it doesn't cover yet
Define marketing metrics clearly and get cross-functional teams to agree on definitions early
Build and maintain the data models that power marketing reporting
Develop dashboards that marketers and executives rely on in their weekly reviews
Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve
Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth
Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture
Find and share the insights nobody asked for, turning analysis into recommendations that change what we do
Write analytical SQL on large datasets to answer questions about funnel performance and attribution
Track framework gaps and data quality issues, and work with data engineering to resolve them
Present findings to marketing leadership and executives in clear, decision-ready formats
Minimum qualifications
Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement
Have designed metrics from scratch and know what makes a metric trusted and useful
Can write analytical SQL on large datasets with confidence
Have built data models in tools like dbt and dashboards that many people use daily
Are comfortable setting direction without waiting for a plan to be handed to you
Can turn vague questions into clear, measurable definitions
Work well across functions and know how to get teams aligned on definitions before problems surface
Enjoy teaching others how metrics work and helping non-technical audiences build data fluency
Finish what you start, from first definition to adopted dashboard
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience building marketing measurement for both enterprise sales-led and product-led growth motions
Familiarity with marketing attribution models and their practical tradeoffs
Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance
A background in data science, analytics engineering, or marketing operations
Experience working with CRM and marketing automation data, such as Salesforce and related tooling
Experience standing up a measurement practice where one didn't exist before
Familiarity with how finance and sales strategy teams think about pipeline and forecasting
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:
$255,000
—
$320,000 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.
Задачи:
— Анализ платного и органического привлечения
— Исследование причин оттока пользователей на сайте
— Улучшение атрибуции
— Создание дашбордов
— Проведение экспериментов с кросс-функциональной командой Demand and Supply
Требования:
— Опыт в маркетинговой аналитике не менее 2 лет
— Опыт в B2C HealthTech, телемедицине, подписных цифровых продуктах или электронной коммерции
— Опыт веб-маркетинговой аналитики по платному привлечению, воронкам конверсии, атрибуции и ROI
— Опыт работы с рынками США, Европы или другими международными рынками
— Владение SQL, Python для анализа и BI-инструментами
— Опыт работы с PostHog, Mixpanel, GA4 или аналогичными инструментами
— Знание статистики и A/B тестирования
— Свободное владение русским и английским (уровень B2+)
— Наличие доступности по времени, пересекающему CET/CEST
— Опыт, ограниченный только мобильной или десктопной аналитикой, не подходит
Условия:
— Влияние на маркетинговые решения
— Полностью удалённая работа в B2B-среде
— Возможности для роста
— Медицинская страховка после испытательного срока
— Компенсация на оздоровление
— Оплачиваемый отпуск и больничные
— Уроки английского языка через Preply
УдалённоГеография найма не уточнена
Yerevan, Armenia
Yerevan, Armenia; 5+ years of experience in market research, competitive intelligence, business analysis, or strategic research, with a strong preference for candidates from iGaming, fintech and e-commerce
seniorRelocation support: full assistance for a smooth relocation for the employees and their family to Lisbon, Portugal
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