• Построение системы веб-аналитики с нуля: GA4, GTM, server-side tracking, attribution. • Анализ маркетингового трафика, эффективности рекламных каналов, CAC, ROAS, LTV и retention.
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• Построение системы веб-аналитики с нуля: GA4, GTM, server-side tracking, attribution. • Анализ маркетингового трафика, эффективности рекламных каналов, CAC, ROAS, LTV и retention.
Анализировать эффективность маркетинговых активностей и искать точки роста; Разрабатывать и поддерживать систему аналитической отчетности;
Требования: — Опыт работы не менее 3 лет в роли Data Analyst, Web Analyst или Marketing Analyst на продуктах с web subscription или e-commerce. — Глубокие знания web-аналитики, включая построение воронок, атрибуцию и логику трекинга. — Опыт работы с данными performance-маркетинга. — Навыки построения tracking-инфраструктуры с нуля, включая GA4, GTM и server-side трекинг. О компании: A-Players разрабатывает новый AI-продукт в области ментального здоровья и осознанности. В команде более 10 опытных специалистов по данным, используется инфраструктура BigQuery, dbt, Tableau и GA4. Формат работы: удалённо, полный рабочий день с гибким графиком. География: весь мир.
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Настроить подборВакансия маркетолога-аналитика в Алматы предполагает официальное трудоустройство с графиком работы 5 дней в неделю с 9:00 до 18:00 и зарплатой до 550 000 тенге до вычета налогов. В обязанности входит проведение исследований рынка, анализ конкурентов, изучение спроса и рыночных трендов, а также подготовка аналитических отчетов с рекомендациями. Кандидат должен иметь профильное высшее образование, опыт работы не менее трех лет и умения в области анализа рынка и конкурентов.
Задачи: — Исследование рынка и анализ конкурентов. — Анализ спроса и рыночных тенденций. — Подготовка аналитических отчётов и рекомендаций. Требования: — Высшее профильное образование. — Опыт работы от 3 лет. — Навыки анализа рынка и конкурентов. Условия: — График 5/2, 09:00–18:00. — Официальное трудоустройство. Адрес: Алматы, ул. Альмерек, 1/1.
We are looking for a motivated Junior Market Analyst with at least 1 year of experience in cryptocurrency or financial trading. Monitor cryptocurrency prices, trading volumes, and market developments.
Location: Москва, удалённая работа или гибрид, RU; Россия О команде В команду Авито Рекламы ищем человека, который будет развивать reklama.avito.ru и вести аналитику воронки привлечения рекламодателей — от источника трафика до первого расхода на рекламу. Вы будете запускать улучшения сайта, собирать дашборды и ставить задачи аналитикам, когда для ответа нужны новые данные или отдельное исследование. Какие задачи вас ждут: развивать сайт на Битриксе: добавлять страницы, обновлять контент и следить за его актуальностью; улучшать посадочные страницы и конверсию в переход в кабинет, ставить задачи смежным командам и оценивать результат после запуска; вести веб-аналитику и SEO сайта: следить за качеством данных и развивать органический трафик; анализировать воронку привлечения: находить потери на пути до первого расхода и обсуждать выводы с командой кабинета; собирать и развивать дашборды в Redash на данных Авито, согласовывать метрики и сверять цифры; тестировать AI-инструменты для анализа данных и автоматизации отчётности; выстраивать систему аналитики: собирать потребности команд, ставить технические задания аналитикам на новые витрины и исследования, проверять результаты. Мы ждём, что вы: запускали сайт с нуля и повышали конверсию: можете рассказать, что изменили, как измерили результат и какие выводы сделали; работаете в Яндекс Метрике, GTM и Яндекс Вебмастере, понимаете основы технического и контентного SEO; уверенно владеете SQL, пишете запросы, строите воронки и дашборды в Redash или другой BI-системе; умеете проверять данные и объяснять, почему цифры расходятся; умеете превращать бизнес-вопрос в понятное техническое задание и принимать результат работы аналитиков и разработчиков. Будет здорово, если вы: работали с Битриксом; запускали и анализировали A/B-тесты; работали с B2B-продуктами. Работа у нас — это: расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.
Location: Berlin Workplace: Remote HEY THERE! Ready to put our brand in front of millions of people worldwide? We’re looking for a Data Analyst, Marketing to turn raw campaign and engagement data into decisions — telling us which channels, markets, and customers to target next. This isn’t a dashboard-building role. You’ll build robust data products, of course — but the real impact comes from the reporting and insight you deliver, and the incremental value that creates for the marketing team. Let’s shape the future of nutrition together and make Yazio the most successful nutrition app worldwide! This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K. YOUR MISSION - Show our Performance Marketing team which campaigns to double down on — and which to scale back. - Partner with our CRM team to learn what messaging resonates with each user segment, then run experiments to measure the uplift. - Own the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in our self-service BI tool. - Define requirements with Data Engineering to ingest new data sources. - Work with the Analytics team to build a data-driven culture across Yazio. YOUR PROFILE - Hands-on experience with performance marketing data for a native mobile app, covering channel-level or MMP data (ideally both). - Solid grasp of attribution, incrementality, funnel and cohort analysis, plus marketing performance metrics like iROAS and CAC. - High proficiency in SQL and working knowledge of Python. - Solid experience in either analytics engineering (e.g., using dbt to transform data) or data science (e.g., geo-lift tests, holdout tests, A/B tests, media mix modeling). You don’t need both, but you should be strong in one. OUR CORE TECH STACK We use: - Snowflake as our core Analytics data warehouse. - dbt & Dagster to transform & orchestrate our data. - Growthbook to power experimentation. - Omni to provide self-service analytics. - Prefect to handle our ML workflows. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours — no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change — short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections — from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being — supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio - Any additional materials that showcase your work (e.g., LinkedIn profile, GitHub)
Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74 Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. What You'll Do Support our marketing attribution models and methodology: review how conversions are credited across channels, reconcile platform-reported and first-party numbers, and keep the approach trusted and documented. Design and maintain the marketing data models behind measurement (spend, attribution, orders and customer cohorts) with Analytics Engineering, with clear definitions, tests and documentation. Support Growth and Marketing with ad-hoc and core analytics, such as campaign and market performance, self-serve dashboards and AI-assisted analytics. Design and run geo experiments from simulation-based power analysis and market selection to success criteria and read-out, working with the marketing performance team. Co-own a prioritised quarterly incrementality test roadmap across channels and markets, ranked by decision value, cost, feasibility (including properly powered tests) and learning, and track each test through to a decision. Handle spillover, seasonality and small-market noise, and report incremental CAC and incremental ROAS with honest uncertainty. Turn test results into investment guidance: estimate marginal returns and saturation by channel and market, and recommend where the next dollar should go and where to pull back. Help set and document our causal measurement standards: which method when, what counts as sufficient evidence, and how results calibrate attribution and MMM for budget allocation. Defend the framework under challenge from channel owners and leaders, and pressure-test platform claims. Guide Growth, Acquisition and Finance from business question to testable hypothesis to budget decision, and build literacy on attributed versus incremental performance. Build reusable experiment tooling and templates, work with Analytics Engineering and MarTech on the data experiments needed, and document every test and decision as you build this capability from scratch. What You'll Bring 3+ years of experience in marketing measurement (attribution, incrementality or marketing mix modelling), with a track record of analysis that changed real budget decisions. Solid grounding in causal inference and experimental design: randomised and quasi-experimental methods such as synthetic control and difference-in-differences, simulation-based power analysis to size and design tests, and knowing when each approach breaks. Strong statistical judgement: you can quantify uncertainty, explain it simply, and resist overclaiming. Hands-on experience with marketing attribution models and their limits, including reconciling platform-reported results with first-party data. Familiarity with how experiments calibrate MMM and attribution, and with marginal-return and budget-optimisation thinking (saturation, diminishing returns). Expert SQL and Python, production-quality code, a modern warehouse (BigQuery or Snowflake) and a BI tool such as Lightdash or Looker. Strong data modelling skills: designing clean, tested and documented models (dbt or similar) for marketing spend, attribution and customer data, and working closely with Analytics Engineering. Strong core analytics skills: marketing and customer metrics (CAC, LTV, retention, funnel and cohort analysis), dashboards and self-serve BI, and the judgement to prioritise ad-hoc requests alongside the test roadmap. Proven ability to influence senior stakeholders: you hold a position under challenge, have shaped a roadmap, and say no with a clear rationale. Comfortable with ambiguity and with data that is still improving: you're a proactive self-starter who is happy to create a new process or capability in a small, fast-growing team. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £64,000 - £96,000 📍Spain: €62,000- €93,000 📍Germany: €68,000- €102,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!
FT Partners is looking for an Analyst Private Capital Markets to strengthen investor relationships support capital raises and M&A processes and build tools datasets and marketing materials.
Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a member of the marketing analytics team, you'll help build the data infrastructure and analytical capabilities needed to drive smarter lifecycle marketing decisions and business impact at OnePay. You'll focus on establishing the measurement and attribution frameworks needed to understand how lifecycle marketing impacts customer behavior, product engagement, and business outcomes. You'll work through an evolving data landscape, connecting customer interactions across marketing and product to uncover insights and identify opportunities to optimize LCM. You'll partner closely with marketing, product, engineering, and data teams to translate data into actionable recommendations and help shape how OnePay measures and optimizes its marketing efforts. In this role, you will: - Analyze LCM performance, identify opportunities to optimize individual campaigns and the broader customer journey, and translate findings into actionable insights that drive business impact. - Develop the data infrastructure, measurement frameworks, and attribution methodologies needed to understand the impact of lifecycle marketing across campaigns, channels, and product interactions. - Partner cross-functionally with marketing, product, engineering, and data teams to improve measurement capabilities, connect marketing activity to product outcomes, and inform broader business and marketing strategies. - Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in marketing analytics. - Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business YOU BRING - 3-7 years of professional experience in marketing analytics with experience with lifecycle as a plus. - Demonstrated track record in marketing analytics, including hands-on experience with attribution models, measurement frameworks, A/B testing, and campaign optimization. - Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets. - Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights. - Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’. - An act-like-an-owner mentality. We have a bias toward taking action. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Роль сфокусирована на работе с маркетинговыми данными, обеспечении консистентности ключевых метрик (LTV, CAC, ROI) и подготовке инсайтов для принятия решений: работа с большими датасетами, анализ маркетинговых воронок, помощь команде в понимании эффективности каналов. Задачи: анализ маркетинговой эффективности по каналам (Meta, Google и др.);
Нужно анализировать эффективность маркетинговых активностей и работать с большими объемами данных.
– От 3 лет опыта в маркетинговой аналитике; – Отличное знание Python и SQL;
Проведение анализа рынка товаров, работ, услуг. Мониторинг цен на приобретаемые организацией товары, работы, услуги.
Location: Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Performance Marketing Analyst (Growth Analyst, Paid Acquisition) Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Performance Marketing Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Performance Marketing Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Performance Marketing Analyst, Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .
❗️Что предстоит делать: Анализировать эффективность маркетинговых активностей и искать точки роста; Разрабатывать и поддерживать систему аналитической отчетности;
Задачи Ценообразование: определять цены покупки и продажи, а затем строить и развивать систему их расчёта. Ассортимент: решать, на каких предметах делать фокус, с учётом маржи, ликвидности и срока продажи.