Аналитика вакансии - гибрид

Условия: Удаленно на время стажировки, вечерний формат (2,5 месяца), далее гибрид/офис в Москве. Кого мы ищем: – техническое образование или опыт в IT/смежной сфере (тестирование, разработка и т.д.); – базовое понимание SQL и BPMN или желание разобраться; – Москва или готовность переехать при получении релевантного оффера; – готовность работать в офисе после стажировки (как минимум, в период испытательного срока); – у мужчин — приписное/военник; – коммуникабельность, логика, здравый интерес к продуктам и бизнесу. Зарплата после стажировки: от 140 000 ₽

Location: Paris, France; Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE ALAN INSURANCE GRADUATE PROGRAM ⭐️ The Alan Insurance Graduate Program is a unique opportunity to enter the team at the core of Alan Insurance business without getting silo-ed on a precise role. The Insurance team focuses on innovating on our health and disability insurance products, over 5 geographies including France, Belgium, Spain and Canada. Through the Program, you will develop a very precious blend of technical, business, entrepreneurial and product skills. After a 2-months onboarding, you may be involved in multiple missions in different streams of the Insurance team: - The Enterprise and Public Sector stream structures the best offers for our largest clients, whether a ministry or a corporate. They land on our most important deals (RFP - request for proposal) with our Sales team, contributing to business growth in a very visible way.  - The insurance product stream dive into the lifecycle of a contract, from pricing and product implementation to the renewal phase. They team up with Engineer, Data and Marketing teams to ensure a delightful experience to our customers, whether when signing on our website, better equip Sales with the best offers or undergoing the renewal campaign (offer updates from one year to another).  - The analytics and repricing stream focus on building metrics, tools, and dynamic models to monitor our portfolio, forecast our margin and price our portfolio. They push strategic decision making (like repricing) alongside the Data, Strategy and Finance teams. - The reinsurance and risk stream owns the Capital requirement model, the risk governance, the relationship with our Supervisor (ACPR) and the reinsurance coverage.  Each program and mission will be co-built with you, to make the most of your growth plan and ensure you have impact and visibility from day 1 at Alan.  All along your Graduate Program, you will also benefit from a personalized support from the team through coaching. This will ensure that you are never alone on a topic and that you grow fast, while still being in the driver’s seat.  At Alan, we are at the forefront of the latest innovations in artificial intelligence. You will be expected to leverage every piece of technology at your disposal to contribute to scaling our tooling and processes. ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️ You would be a good fit if you: - Have a first experience in actuarial/insurance, finance, strategy, data, quantitative or product topics. - Have a scientific background (statistics, engineering, actuarial science)  - Are excited about growing in a fast-paced environment on multidisciplinary topics involving technical, data, regulatory, product and business questions related to health and prévoyance insurance - Are comfortable with SQL or willing to learn - Are analytical and structured, with a fact-based decision-making style - Are enthusiastic about teamwork, curious, learning, and teaching - Are willing to deeply change the insurance industry and challenge the status quo - Have strong written communication skills - Are fluent in both French and English (Alan’s working language) 🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

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

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

Location: Limassol; Nicosia; London; Athens; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a passionate and experienced Data Steward to join our fast-growing team! The successful candidate will join a Data Governance team responsible for collaborating with our main IT stakeholders and the business data consumers to implement standard methodologies related to data cataloguing, data issues process, implementing data quality metrics and governance model plus establishing business rules and data requirements that align with each department’s goal. The main responsibilities of the position include: Be the eyes and ears for data-related matters within an organisation Engage with data champions and working groups across the organisation Implement standardised data process and guidelines to ensure they are being followed Drive consistent data accuracy, serve as an escalation point and resolve data related issues Create and maintain business metadata definitions, domain values and business rules Support Data Catalogue implementation, development, and enrichment Support governed change control of metadata Embed data ownership Guide and advise the business users, projects, and IT teams on meaning and use of data Perform execution of data issue process Assist in the development of data domain business rules (algorithms, calculations, processing requirements, etc.) Work with the Data Quality Analyst team to define data standards, business rules and embed best practice Main requirements: BSc/MSc in Information Technology or any other related field Minimum 2 years’ experience in data stewardship or a similar role Excellent stakeholder management and collaboration skills Sound knowledge of data governance practices and processes Good understanding of data quality processes Experience working with business, operational data and technical teams to clearly detail data governance and metadata requirements Experience in executing remediation activity to address quality issues, identifying data enhancements or improvements, and defining master / golden sources Broad understanding of client journeys in a service- and product-oriented organisation Strong analytical skillset Ability to inspire users to follow the data governance framework at the company; have a good rapport with the users, and possess business maturity Experience in either creating or using a data catalogue Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Задачи: • Исследовать поведение соискателей и работодателей. • Генерировать и проверять гипотезы в плотной связке с менеджерами продукта. • Проводить А/Б тесты и интерпретировать их результаты. • Проектировать разметку событий аналитики. Требования: • От 3-х лет опыта в продуктовой аналитике. • Уверенные знания математической статистики и теории вероятностей. • Опыт работы в любой BI-системе (у нас DataLens). • Владение SQL на уровне написания сложных запросов (joins, window functions), в идеале опыт Clickhouse. • Опыт разметки событий аналитики. Условия: • Возможность удаленки после прохождения испытательного срока, на время испытательного срока — гибрид 3 дня в неделю в офисе. • Работу в одном из самых быстрорастущих рынков — HRTech. • Высокую инженерную культуру. • Непрерывное обучение и профессиональное развитие внутри компании. • Возможность стать частью сплоченной команды. • Регулярную обратную связь от наставников и руководителей. • Официальную заработную плату.

RELOCATION TO CYPRUS Location: Hybrid, Limassol, Cyprus (Relocation package offered) Company inDrive is a global ride-hailing and multi-service tech company operating in 48 countries, dedicated to challenging injustice and impacting 1 billion lives by 2030. What you will do Assist in building long-term financial models and supporting the global budgeting cycle. Design and automate internal tools and dashboards for performance monitoring and investment tracking. Analyze spending efficiency and formulate data-driven proposals for resource reallocation. Research new market opportunities and support go-to-market evaluations. Prepare executive-level presentations for cross-functional syncs. Drive cross-functional projects end-to-end from scoping to execution and impact measurement. Requirements Strong analytical skills with experience working with large datasets. Proficiency in Excel, SQL, and BI tools like Power BI or Tableau. Deep understanding of operational metrics, unit economics, and marketplace dynamics. Experience in project management and process improvement. Ability to synthesize complex data into clear business actions. Comfortable working in a fast-paced, ambiguous environment. Nice to have Python proficiency. Culture & Benefits Health insurance with oncology and life insurance coverage. Hybrid work mode with a flexible schedule. Professional counseling services including psychological, financial, and legal support. Access to diverse internal training programs and paid external courses. Fitness club membership discount.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product. ROLE We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will: - Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality. - Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets. - Build data collection and transformation pipelines, and actionable dashboards. - Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts. - Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly. - Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes PROFILE - You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry. - You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets. - You have solid experience in ETL development. - You have solid experience with DBT. - You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments. - Advanced knowledge of statistical tools and models will be considered a significant advantage. - Development skills, particularly in Python, will be considered a significant advantage - You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results. - You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas. - A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role. OUR STACK - DBT; Tableau; SQL; Athena; Spark; Python BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Требования: - образование в профильной или смежной области - знание Python, Google Sheets, GitHub, API - опыт работы не обязателен Обязанности: - выгружать и обрабатывать данные из различных источников - разрабатывать системы автоматизации бизнес-процессов - готовить аналитические отчеты и строить выводы Условия: - стандартная пятидневная рабочая неделя с 10:00 до 19:00 - возможность удаленной работы или посещения офиса в Санкт-Петербурге - ДМС высокой категории, развитие в коллективе

О КОМПАНИИ Мы — команда экспертов с 7-летним опытом разработки экономических моделей для международных Web3-проектов. Специализируемся на создании устойчивых токеномик, привлечении инвестиций и защите ценности активов. Ищем аналитика-практика для глубокого моделирования и аудита систем. ОСНОВНЫЕ ЗАДАЧИ — Разработка архитектуры токеномики с нуля и аудит существующих моделей. — Построение комплексных финансовых моделей (Unit-экономика, PnL, LTV/CAC). — Моделирование влияния токена на продуктовые метрики (Retention, Revenue). — Проведение стресс-тестов и анализ чувствительности (Sensitivity Analysis). — Подготовка аналитических материалов и презентаций для фаундеров и инвесторов. — Визуализация и техническое тестирование моделей на Python. ТРЕБОВАНИЯ К КАНДИДАТУ — Практический опыт разработки токеномики с подтвержденными кейсами. — Глубокое понимание Token Utility, Incentive Design и динамики спроса/предложения. — Навыки финансового моделирования и работы с большими массивами данных. — Английский язык на уровне B2+ (обязательно для работы с глобальными проектами). — Владение Python для анализа и визуализации данных (желательно). — Опыт в сегментах DeFi или GameFi будет существенным преимуществом. УСЛОВИЯ РАБОТЫ — Возможность работы с реальными, а не теоретическими экономическими системами. — Прямое влияние на успех и устойчивость международных крипто-продуктов. — Гибкий формат: полная удаленка или работа в гибридном режиме из офиса в Москве. — Индивидуальный подход к уровню оплаты и формату нагрузки.

Задачи: — Анализ бизнес-процессов заказчика, сбор требований к информационной системе, сбор предварительных оценок по трудоемкости задачи. — Проверка требований на полноту, непротиворечивость, реализуемость и оптимальность изменений. — Детализация требований, декомпозиция на требования к функциональным модулям и интеграционным сервисам. — Согласование требований с заказчиками, разработчиками, представителями смежных систем. — Участие в планировании работ, включая контроль сроков выполнения задач от постановки до публикации функциональности. — Документирование новой функциональности для 2-й линии поддержки. — Помощь в исследовании и устранении ошибок в работе системы. Требования: — Гражданство и локация РФ. — Опыт от 4 лет. — Высшее техническое образование. — Опыт аналитической работы в сфере ИТ. — Опыт работы в биржевом домене. — Опыт написания документации и постановки задач разработчикам. — Опыт работы с бизнес-заказчиками. — Опыт планирования всех видов работ по разработке ИТ-систем. — Опыт работы по методологии Agile. — Знания методов моделирования и описания процессов (EPC, BPMN 2.0). — Знание XSD/XML, JSON, SQL. — Уверенный пользователь MS Office, Visio, Confluence, JIRA. Условия: — Full-time, 5/2. — Возможна удалённая работа или работа в офисе.

Location: Almaty, Kazakhstan Workplace: hybrid ДОБРО ПОЖАЛОВАТЬ В OLX Мы создаем устойчивые экосистемы маркетплейсов, на которые ежемесячно полагаются миллионы людей, чтобы покупать и продавать автомобили, находить жилье, устраиваться на работу и торговать подержанными товарами. Это коммерция, которая имеет значение: безопасная, разумная и экологически ответственная. Мы делаем это благодаря смелости внедрять инновации, приверженности результатам, сотрудничеству представителей более 50 национальностей на 7 рынках и подходу, ориентированному на потребности клиентов, где реальные люди стоят на первом месте. Добавьте к этому стремление к победе — и вы получите культуру, которая является амбициозной, динамичной и основанной на доверии. Наши бренды, включая AutoTrader, OLX, Otomoto, Property24 и другие, любимы миллионами. А поддерживают нас Prosus, один из крупнейших технологических инвесторов в мире. Присоединяйтесь к OLX, и вы увидите, как далеко сможете зайти.   В нашей дружной команде OLX Kazakhstan открыта вакансия Дата аналитик.   Кандидат которого мы ищем будет помогать команде продаж посредством анализа поведения бизнес пользователей, формирования портфелей клиентов и ожиданий доходов от деятельности команды, будет заниматься постановкой планов, отслеживанием достижения результатов (финансовых и нефинансовых KPI), проводить анализ эффективности менеджеров команды продаж, работать над внедрением новых технологий и идей, используя огромные массивы данных. Основные обязанности: Анализ базы пользователей: поведение, сегментация, отток Анализ подходов к ценообразованию, планированию продаж и доходов Расчёт эффекта на доход при внедрении новых услуг и тарифных пакетов Построение, поддержка и развитие моделей прогнозирования доходов Проведение A/B тестов и подготовка отчётов по результатам Ведение и оптимизация регулярной аналитической отчётности в Tableau Требования: Высшее образование (экономика, финансы, математика, IT или смежные специальности) Опыт в аналитике от 3 лет Уверенное владение SQL и работа с большими объёмами данных MS Excel на уровне продвинутого пользователя Знание инструментов визуализации (Tableau) Знание статистики и опыт проведения A/B тестов Умение строить прогнозные модели и работать с коммерческими показателями Письменный английский не ниже Upper-Intermediate Опыт в e-commerce или интернет-проектах — преимущество Опыт в монетизации — преимущество Системное мышление, инициативность, высокая адаптивность Что мы предлагаем: Твой комфорт в работе - наша задача, мы предлагаем: Гибридный формат работы Медицинское страхование (пакет для тебя и членов твоей семьи) Ежегодный оплачиваемый трудовой отпуск 28 календарных дней + дополнительный отпуск в особых случаях (свадьба, рождение ребенка, переезд на новое место жительства) Компенсация спорта согласно политике Компании после успешного похождения испытательного срока Оклад + годовой бонус Западная культура работы и ведения бизнеса, работа в команде профессионалов; DEI культура, где мы создаем высокоэффективное, разнообразное, инклюзивное и аутентичное рабочее место. Внутренняя платформа, где ты можешь обучаться и развиваться (бесплатные курсы от Coursera, Harvard Business School итд) Молодая и активная команда - мы любим посмеяться, но работу воспринимаем всерьез. Присоединяйся к единомышленникам - большой и дружной команде OLX! Многообразие, равенство и инклюзивность в OLX OLX ценит многообразие и приветствует кандидатов независимо от расовой и этнической принадлежности, физических и ментальных особенностей, возраста, пола, сексуальной ориентации, вероисповедания, а также бэкграунда и профессионального опыта Если вас вдохновляет эта вакансия, мы призываем вас откликнуться, даже если вы не соответствуете всем требованиям — возможно, вы именно тот, кто идеально подойдет для этой или других наших возможностей! OLX будет обрабатывать ваши персональные данные для оценки вашего соответствия позиции, на которую вы подаетесь. Вы можете по желанию дать согласие на хранение ваших данных в течение 12 месяцев после завершения процесса отбора для рассмотрения вашей кандидатуры на будущие вакансии в OLX. Более подробную информацию о том, как будут обрабатываться данные вашей заявки, можно найти в нашей Политике о конфиденциальности.

Location: Limassol; Athens; Thessaloniki; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The main responsibilities of the position include: Use best practices to obtain and document requirements Analyse the current state (As-Is) as well as impact analysis (To-Be) and identify gaps Critically evaluate information gathered from multiple sources and adjust any conflicting material and deconstruct high-level information into accurate details Proactively communicate and collaborate with different departments to analyse functional and information-related requirements Collaborate with developers and subject matter experts to establish a technical vision and help the development team with clarifying requirements Proactively manage requirement changes and system/ process/ project implications to ensure all parties are always fully aware and updated Participate in planning sessions to assist with requirement clarifications and ensure a thorough understanding of the system/ process/ project Test the software and business processes to ensure they meet business requirements, design, and specifications Main requirements: University degree in Computer Science or a similar field will be considered an advantage Experience in the Forex industry will be considered an advantage 2+ years of experience in a similar position Strong knowledge of Business Analysis discipline Experience in creating well-structured documentations, diagrams, and specifications (detailed User Stories, Use Cases, feature-breakdown lists etc.) Agile experience, most importantly in Scrum and Kanban frameworks Experience in JIRA and Confluence Software Knowledge of SDLC and agile development processes Experience with UML will be considered an advantage Experience in working with distributed teams and managing technical communications and deliverables Very good written and verbal skills in English Strong analytical and communications skills to gather and define business requirements from multiple stakeholders and translate them into solutions Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.