Вакансии

Location: Москва Мы ищем талантливого специалиста, который сможет присоединиться к разработке и внедрению AI-агентов для взаимодействия с клиентами по вопросам продукта эквайринга Сбера. Агент должен поддерживать живой диалог, обладать знаниями о продукте и оказывать качественную консультацию клиентам. Вы будете частью команды, работающей над проектами по созданию и обучению AI-агентов. Обязанности * разработка AI-агента для консультирования клиентов по продукту эквайринга * написание кода на Python для реализации функциональности агента * работа с LLM-моделями: промптинг, настройка и оптимизация * разработка RAG-подходов для поиска и предоставления релевантной информации * создание ML-решений классическими подходами * тестирование и улучшение качества диалоговых сценариев агента. Требования * опыт разработки на Python от 3 лет * опыт работы с LLM-моделями: промптинг, RAG-подходы * опыт разработки ML-решений классическими подходами * понимание архитектуры диалоговых систем и AI-агентов * навыки математического моделирования и статистики. Будет плюсом: * опыт в банковской сфере или знание продуктов эквайринга * опыт работы с BI-системами (Power BI, Qlik Sense, Tableau). Условия * комфортный современный офис рядом с м. Кутузовская * гибридный график работы * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

- Анализ и валидация данных из более чем 100+ таблиц.

SpaceXSI is looking for an Associate Asset Manager to maintain asset records, track maintenance, and report on critical facilities equipment.

Location: Москва Сбер в поисках Руководителя направления аналитики (Центр сопровождения гос. продуктов и платежных сервисов) Обязанности * управление доходами и расходами центра: формирование тарифной модели, понимание структуры и состав плат, формирование предложений по их снижению * управление стоимостью и эффективностью сервиса: понимание методики формирования стоимости, формирование предложений по снижению стоимости, в том числе за счёт новых технологий * построение системного подхода в формировании прогнозов входящего потока и повышения их точности * управление нагрузкой на процессах. Требования * высшее образование (математическое, техническое, экономическое, анализ данных) * опыт работы в аналитике от 3 лет, из них от 1 года — управление командой аналитиков * продвинутый SQL: сложные запросы, оптимизация, большие объёмы данных * Python или R для анализа (Pandas, NumPy, Scikit-learn; R — аналогично) * BI-инструмент: Tableau / Power BI / Qlik Sense (дашборды, метрики, автоотчётность) * СУБД: PostgreSQL, MySQL, Oracle; плюсом — Hadoop, Spark * статистика: A/B-тесты, регрессионный и кластерный анализ, cohort-анализ, предиктивные модели, LTV, сегментация * регулярно использует LLM-инструменты в повседневной работе **личные качества:** * умение доносить сложное простым языком * умение мотивировать, делегировать , задать структуру и процесс, добиться управленческого качества результата, а не просто корректных цифр и отвечать за результат * проактивность: находит проблемы и выносит инициативы, не дожидаясь запроса * устойчивость к неопределённости и быстрая адаптация * приоритизация задач и управление временем * опыт работы с ИИ инструментами. Условия * официальное трудоустройство * работа в крупнейшем банке России * формат дохода: оклад + годовая премия * расширенный ДМС с первого дня и льготное страхование для близких * подписка Прайм с возможностью совместного использования на трёх близких * корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.

знание инструментов для обработки данных: SQL, plSql, PostgreSQL; - умение написания сложных запросов с использованием CTE -запросов, аналитических функций, и их оптимизация, построение плана запросов;

от 2-х лет в роли дата аналитика. - Анализ и валидация данных из более чем 100+ таблиц.

Анализ бизнес-требований и постановка четких технических заданий инженерам данных на разработку и поддержку ETL-пайплайнов.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As our Senior Manager of Data Analytics, you will be the ultimate data storyteller, transforming complex data landscapes into clear, company-wide strategies that fuel execution across Docebo. Reporting directly to the Director of Data, you will serve as a vital bridge between our Core Data team and executive business leaders across North America and EMEA. This is your chance to lead an innovative analytics function, champion data-driven decision-making, and directly shape the future of a global, AI-powered learning platform. THE DAY-TO-DAY 📈 - Empower Your Team: Manage, mentor, and inspire a talented team of data analysts to design high-impact reports, dashboards, and deep-dive analytics that deliver timely insights across all business functions. - Execute the Strategic Vision: Support the Director of Data in executing a future-forward data analytics strategy and roadmap that aligns perfectly with Docebo’s hyper-growth goals. - Bridge the Data Ecosystem: Partner closely with the Core Data team to ensure the full availability of all necessary data required to produce business insights. - Cultivate Global Partnerships: Build and own deep relationships with functional leaders across Finance, RevOps, Customer Success, and GTM leadership in both North America and EMEA to translate burning business questions into executive-level KPIs. - Anchor North America: Act as the Director of Data's primary point of presence in North America, representing the Data organization with local leadership to embed intelligence directly into regional strategic and operational planning. - Ignite Analytical Innovation: Fuel business breakthroughs by leveraging advanced analytics techniques, predictive modeling, and staying ahead of emerging technology trends to uncover new opportunities. - Guard Data Excellence: Implement and enforce elite standards for validation, governance, and quality assurance within the data analytics function to guarantee undeniable data integrity. YOUR SUPERPOWERS 🦸‍♂️ - Proven Analytics Leadership: Bring 5+ years of progressive experience in data analytics, business intelligence, or related fields, including at least 2 years of successfully managing or leading high-performing analyst teams. - Cross-Functional Collaboration: Show off a track record of leading cross-functional analytics initiatives and aligning beautifully with both business and data engineering teams. - Influential Communication Style: Deliver complex data stories with clarity and impact, utilizing exceptional presentation skills to influence organizational change and align senior stakeholders. - Growth-Focused Mindset: Bring a proactive, results-oriented attitude dedicated to data quality, process optimization, and nurturing the continuous professional development of your team. - Technical Toolkit Mastery: Demonstrate deep expertise in modern BI and data visualization tools alongside strong practical knowledge of advanced analytics languages like Python and SQL for complex data analysis. - Educational Foundation: Possess a Bachelor’s degree in a STEM field or a related quantitative discipline. BONUS POINTS 🎯 - Advanced Academic Edge: Hold an MBA or a Master’s degree in Data Analytics, Business Intelligence, or a related specialized field. - Global SaaS Familiarity: Experience working with cross-functional leadership across international time zones, specifically connecting North American and EMEA regions. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United States; Toronto Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE We're hiring a Senior Manager to lead GTM and Revenue Finance as part of the Strategic Finance team. This person will have direct exposure to the CFO, CRO and board materials. You will lead a team of analysts to forecasting, reporting and strategic initiatives for our GTM organization. You will have ownership of the revenue line and the chance to build the function, the team and the systems rather than inherit them. KEY RESPONSIBILITIES REVENUE FORECASTING AND DEAL ECONOMICS - Own the ARR and revenue plan by segment, region, product and deployment type - Build driver-based models connecting sales pipeline to ARR and GAAP revenue conversion - Triangulate top-down targets against bottoms-up deal pipeline and deal-level economics - Run scenario planning and sensitivities to support a dynamic market landscape - Own gross margin annual planning and explain the storyline on variances and performance - Provide guidance on deal structuring, terms, margin profile, etc - Define and track KPIs including LTV, CAC, payback period, gross margin - Establish a mature framework for deal review and acceptance working closely with Rev Ops, Biz Ops and GTM ROI ANALYSIS & STRATEGIC INITIATIVES - Analyze territory and segment economics including CAC efficiency and payback period - Partner with Marketing and Sales leadership to allocate spend toward the highest-return motions - Report GTM performance monthly finance and business reviews - Own the GTM financial narrative in board and executive packages - Run investor diligence, the data room and customer reference prep during fundraising - Build product finance capabilities as product mix expands, including product-line P&L, unit economics and gross margin by revenue stream QUALIFICATIONS - 12+ years of progressive experience in Financial Planning & Analysis and Strategic Finance - Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA or CFA preferred. - Strong proficiency in financial modeling, forecasting, and budgeting - Experience with EPM Systems (Anaplan, Pigment, Onestream) and BI tools (Tableau, Power BI, Looker) - Excellent analytical skills with ability to interpret complex financial data - Exceptional communication skills—the ability to tell a compelling story through data - Experience building and scaling FP&A functions in high-growth and ambiguous environments - Deep understanding of GAAP accounting and the interaction between the P&L, Balance Sheet, and Cash Flow statement. PREFERRED QUALIFICATIONS - Experience at fast-moving technology companies, particularly with GTM business partners - Startup experience, particularly in scaling financial operations - Familiarity with SaaS metrics and AI business models - Experience with fundraising, investor relations, and board reporting - Experience implementing financial systems and automation solutions FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Москва Workplace: Гибридный О компании Центр управления данными (DataGov) развивает сервисы и практики управления данными для дата-специалистов, продуктовых команд и бизнес-пользователей. В рамках направления Data Quality команда систематизирует практики управления качеством данных и внедряет их в процессы разработки продуктов и построения дата-пайплайнов. Отдельный фокус — автоматизация DQ-процессов с использованием Python, LLM и AI-агентов. Обязанности - Контроль качества данных: обеспечение покрытия данных проверками качества (DQ-контролями) в соответствии с требованиями заказчиков; - Сбор и анализ требований: взаимодействие с внутренними заказчиками, выявление потребностей и формализация требований к качеству данных; - Разработка DQ-контролей: создание, настройка и сопровождение проверок качества данных во внутреннем инструменте компании; - Аналитика и отчётность: сбор, систематизация и визуализация статистики по результатам проведённого анализа и работы DQ-контролей; - Ad-hoc аналитика: выполнение разовых аналитических запросов для решения операционных задач, исследование данных и подготовка выводов Требования В том числе Студенты бакалавриата, специалитета или магистратуры; SQL: написание запросов с использованием `SELECT`, `JOIN`, `GROUP BY`, `HAVING`, подзапросов и агрегатных функций; - Excel: работа с таблицами, формулами и сводными таблицами; - Основы работы с базами данных: понимание реляционной модели данных, структуры таблиц и связей между ними; - Аналитические навыки: умение исследовать данные, выявлять аномалии, находить закономерности и формулировать выводы; - Документирование требований: умение структурировать и описывать бизнес-требования, формировать понятные технические задания; Будет преимуществом: - Основы Data Quality: понимание основных характеристик качества данных; - Grafana: базовые навыки работы с дашбордами, визуализации и мониторинга показателей, понимание принципов работы панелей, фильтров и запросов к источникам данных; - Python: базовое знание языка, понимание основ обработки данных; - BI-инструменты: опыт работы или знакомство с Power BI, Yandex DataLens, Tableau, Apache Superset или аналогичными инструментами визуализации и анализа данных; - Продвинутый SQL: оконные функции, CTE, работа со сложными запросами; - ETL/ELT: общее понимание процессов загрузки, преобразования и обработки данных; - Git: базовые навыки работы с системой контроля версий. Условия Cобственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку. А еще: Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. What you will do: - Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. - Define and improve metrics for measuring ML model performance and business impact, working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. - Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. - Act as a strategic analytical partner to Product, Data Science, and Business leads. You proactively translate ambiguous business challenges into analytical roadmaps and turn complex ML insights into clear recommendations that shape product strategy. - Challenge product and technical decisions with data, bringing an independent analytical perspective to model development, experimentation and product strategy. - Drive analytical projects with end-to-end ownership: from initial scoping and hypothesis generation to stakeholder alignment and post-decision impact. Establish reusable frameworks and best practices that raise the bar for how we use data across teams. - Mentor and guide other analysts on the team, fostering a culture of high analytical standards, strong business intuition, and effective communication. Who you are: - You have a degree in mathematics, statistics, physics, computer science, economics, analytics, or a similar quantitative field. - You have 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, or Data Science, with a proven track record of delivering measurable business impact and working closely with senior cross-functional stakeholders.. Experience in AdTech, mobile apps or ML-driven products is a strong plus. - You’re proficient in SQL and comfortable working with large datasets. - You have strong Python skills and are comfortable using them for data analysis and statistical modelling. - You have a solid understanding of statistics and experimentation, including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. - You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. - You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, Streamlit or similar. - You can articulate complex algorithmic and behavioral insights clearly to non-technical stakeholders, align differing viewpoints, and comfortably present recommendations to leadership. - You thrive with ambiguity and have a high degree of ownership. You proactively identify high-value opportunities instead of waiting for tasks to be assigned, and you take pride in seeing initiatives through to real-world outcomes. Fuel for the Journey: Benefits to Support Your Ambitions - Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. - Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. - Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

We are looking for a proactive and experienced BI Analyst to build and elevate our data infrastructure! You will take ownership of our DWH architecture, build reliable ELT pipelines, and create actionable Power BI dashboards for product and business teams.

- Сбор и анализ данных из различных источников. - Развитие и автоматизация отчетности, создание BI-дашбордов.

• Вести BI-проекты от сбора требований до готовых дашбордов.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are developing a partner advertising high-load system with a large RPS, convenient and modern interface. We are growing exponentially and successfully implementing new technologies to accelerate this growth and the system as a whole. Role Summary As the FP&A Lead, you will be the primary architect of our financial future. You won't just track numbers; you will translate complex data into a compelling narrative that drives executive decision-making. You will lead the annual budgeting, quarterly forecasting, and long-range planning processes, acting as a strategic partner to department heads to optimize resource allocation and fuel sustainable growth. Job Responsibilities Own the company’s financial planning, budgeting, and forecasting processes. Build and maintain sophisticated, driver-based financial models to perform scenario analysis. Prepare monthly management reports (P&L, Balance Sheet, Cash Flow) with clear variance analysis vs budget and forecast, delivering deep-dive variance analysis that explains the "why" behind the numbers. Partner closely with business leaders to understand performance drivers and challenge assumptions. Analyze revenue, costs, margins, and cash flow to identify risks and opportunities. Support long-term planning, scenario analysis, and sensitivity modeling. Leverage BI tools and AI-driven forecasting to automate routine reporting and improve the accuracy of predictive modeling. Improve forecasting accuracy through data-driven insights and continuous process improvements. Monitor KPIs and create dashboards for executive and stakeholder reporting. Support ad-hoc analysis related to investments, pricing, new initiatives, or cost optimization. Ensure data consistency between FP&A models and ERP / source systems. You will thrive here if you have… Bachelor’s degree in Finance, Accounting, Economics, or related field (MBA is a plus). 7+ years of experience in FP&A, corporate finance, or controlling with at least 3 years in a leadership or project-lead capacity. Strong financial modeling and analytical skills. Excellent understanding of P&L, Balance Sheet, and Cash Flow mechanics. Advanced Excel / Google Sheets skills (Power Query, complex formulas, modeling best practices). Experience working with ERP system Business Central 365 will be considered an advantage. Ability to translate complex financial data into clear business insights. Exceptional "data storytelling" skills—the ability to influence senior stakeholders who may not have a finance background. High attention to detail with a proactive, ownership-driven mindset. That can be a plus: Experience in fast-growing, tech, fintech, SaaS, or platform-based businesses. Experience with BI tools (Power BI, Looker, Tableau, etc.). Exposure to treasury, cash management, or multi-currency environments. Prior experience building FP&A processes from scratch or scaling them. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol with everything you need for deep work and collaboration. Free catering in the office, Wolt Allowance, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process HR interview Interview with the hiring manager Test assignment: case study Final interview Job Offer

Location: Canada Workplace: Remote ABOUT THE TEAM Most providers make customers migrate their data to them. We're doing the opposite: bringing ClickHouse Cloud into the environments our customers already trust, so their data stays useful right where it lives. Those environments come in a few shapes. Some are major cloud data platforms that run ClickHouse as a native service, so customers get it without leaving the tool they already use. Some are BI and visualization tools that need ClickHouse to show up as a fast, first-class data source behind their dashboards. And some are developer and data platforms we connect through marketplaces and identity federation with a couple of clicks or agentic calls. Every integration is unique, but the goal is the same every time: ClickHouse should feel like a first-class citizen in every environment. The craft is finding the patterns underneath different integrations. As one of the first backend engineers, you'll help shape the technical defaults for this team. You'll have end-to-end ownership, but you'll also work inside the constraints of platforms you don't own: thin documentation, unfamiliar deployment topologies, and timelines governed by partner approval cycles. A lot of the challenge is engineering across trust boundaries you don't fully control. You won't be doing it alone. You'll work closely with your engineering manager, the product manager, a growing team, and experienced engineers across the broader org. If that sounds like your kind of challenge, let's talk. WHAT YOU'LL DO You'll own an integration end to end: the design, the code, and the production system that keeps running after launch. The patterns you set there become defaults the rest of the team builds on. Day to day, that looks like: - Owning the architecture: auth and identity flows, multi-tenancy, how data moves and where it's allowed to live, performance, and what happens in production - Running what you build. Which means owning the infrastructure, CI, deployment, observability behind it and on-call - Working on top of external platforms you can't change, and being straight about which risks are yours to manage and which aren't - Partnering closely with the internal teams whose services you depend on: iterating on product requirements, agreeing on interfaces and protocols, and proactively finding ways to keep moving ABOUT YOU These are the attributes of someone who will perform well in this role: - 8+ years building software, with a good chunk of it on data-heavy or integration-flavored systems - Preferably proficient in TypeScript or Go or comfortable contributing to each - Solid backend and systems instincts. You can reason about deployment topology, multi-tenancy, and data movement, and you're comfortable owning architectural tradeoffs you'll have to live with later - You've worked with modern auth protocols, service principals, and identity federation, and you know how to get it right across a trust boundary - You've built on someone else's platform and know what that's actually like: incomplete docs, unintended breaking changes, etc. - You're comfortable in ambiguity. You can ship before the spec is finished, make sensible calls under uncertainty, and flag the decisions that'll be hard to undo to your team before we bake them in. - You're good with other engineers. Much of the work runs through teams you don't own, and you earn their trust by how you think, not just what you commit. - You're mainly a backend engineer, but you're comfortable enough to touch a modern React app - You use AI tools well and honestly. Reach for Claude Code, Cursor, Copilot, or whatever helps, and be clear about where you did and didn't - You write well. Most of how we coordinate happens async in chats, design docs and RFCs NICE TO HAVE None of these are required, but any of them would be a bonus: - Close familiarity with a major cloud data or analytics platform ecosystem - Real depth in auth and identity federation, or experience building to a partner's security review, marketplace requirements or certification requirements - Hands-on experience designing multi-tenant SaaS platforms, or the isolation and deployment topology behind them - Working knowledge of ClickHouse, or another columnar / OLAP engine PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

• Собирать и консолидировать отчётность подразделений и проектов, проверять полноту и корректность данных, формировать для CEO единую картину результатов бизнеса. • Отслеживать план-факт по подразделениям и проектам, выявлять отклонения, анализировать их причины и вовремя сообщать о рисках невыполнения планов.

In the Value Realization Office at Kyndryl, you will play a critical role in ensuring that our customers achieve and maximize the tangible business outcomes promised in their digital transformation journeys. Baseline Validation & Benefits Architecture: