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Location: Hanoi Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.  Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Reponsibilities: Recommend actions to meet budget targets and identify opportunities to make optimal use of company resources. Prepare accurate monthly P&L and C&F projections and support the company’s budgeting and forecasting processes. Analyze actual financial performance against budget and forecasts, identify key variances, risks, and opportunities, and provide actionable recommendations. Monitor costs, identify optimization opportunities, and contribute to cost-control initiatives across the business. Support month-end and year-end closing processes, ensuring accuracy and completeness of financial data. Maintain high standards of financial reporting and transaction control, ensuring data quality and consistency. Analyze existing business and financial processes and identify opportunities for process improvement and automation. Develop financial models, business cases, and valuations to support new projects and investment decisions. Prepare financial analysis and insights to support data-driven management decisions. Qualifications: Strong analytical and problem-solving skills with the ability to work with large amounts of financial data. Strong numerical skills and attention to detail. Ability to interpret financial results, identify trends, and translate data into clear business insights and recommendations. Highly organized, proactive, and results-oriented approach to work. Solid understanding of P&L, Cash Flow, budgeting, forecasting, and variance analysis. Experience in financial controlling, FP&A, management accounting, or a similar finance role. Experience in a large manufacturing or international company would be a strong advantage. Advanced Microsoft Excel skills, including Power Pivot, Power Query, and PivotTables. Practical experience with Power BI for financial analysis and reporting. English level: B2+ We offer: Opportunity to work in one of the most recognized and innovative security manufacturers. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas.

Location: Ljubljana, Slovenia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a proactive, resourceful, and AI-forward Tech & Marketing Operations Specialist to manage our technology projects, keep our learning platforms running seamlessly, and power the marketing engine that brings students to them  This role suits someone with a broad technical fluency who thrives on coordination, troubleshooting, and hands-on building. You don't need to be a professional developer, but you do need to be comfortable using tech tools to design, prototype, and ship real solutions.  The position will be based at the Madrid office with a hybrid work model. What You’ll Do Platform & Systems Management Tech project management: Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals. LMS management (WordPress & LearnDash): Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting. CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud): Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed. System integration: Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations. Data integrity & reporting: Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed. Website support: Provide general technical support for the website and coordinate with relevant resources to resolve issues. Compliance & security: Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT. Marketing Operations & Growth Campaign execution: Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene. Landing pages & lead capture: Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation. Tracking & attribution: Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end. Lifecycle & retention automation: Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers. Martech stack & compliance: Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy. AI for marketing: Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling. Technical Bridge & Coordination Stakeholder liaison: Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications. Specification writing & QA: Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout. Documentation: Keep the operations manual and technical documentation current and useful for the team. Cross-functional project leadership: Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step. AI Development & Innovation AI builder mindset: Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting). Tool development: Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features. Exploration & evaluation: Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.). AI project ownership: Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling). Responsible use: Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems. What You Need For This Role You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others. You have 5+ years of experience managing Education and Marketing tech projects. You are genuinely curious about AI and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool). You bring project management skills with a track record of leading initiatives from scope to delivery. You're a strong communicator who moves comfortably between technical and non-technical audiences. You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked. You understand marketing funnels and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements. Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued. Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus. You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs. Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus. Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued. You're highly organized, detail-oriented, and capable of managing multiple concurrent projects. You're a self-starter, comfortable working independently. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,800. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Tavily at Nebius In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention) and find the drivers behind them . You'll work directly with our CEO and leadership as a thought partner on product and growth decisions. This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM. What You'll Do • Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn. • Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization. • Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets. • Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows. • Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment. • Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For (Must-Haves) • 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent. • 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics. • A strong statistical foundation. • A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation. • Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment. • Comfort working with large, messy, event-level datasets. • Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). • Experience with pricing and packaging analysis or usage-based billing models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc / PhD in Statistics / Math / CS or equivalent. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote (Croatia) Workplace: hybrid ELEKS is looking for a Dynamics 365 & Power Platform Solutions Architect/Senior Consultant in Croatia. ABOUT CLIENT The project focuses on designing and implementing Microsoft Dynamics 365 solutions through an iterative delivery approach. The team collaborates closely with business stakeholders to ensure solutions align with business objectives, enterprise architecture standards, and Microsoft best practices. REQUIREMENTS 5+ years of experience with Microsoft Dynamics 365 CE/CRM, including multiple full-lifecycle enterprise implementations Strong expertise in Dynamics 365 Sales, including configuration, customization, and solution architecture Hands-on experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Dataverse Experience configuring out-of-the-box (OOTB) entities, business rules, workflows, forms, views, and dashboards Proficiency in C#, .NET, JavaScript, FetchXML, REST APIs, and Azure Functions Experience developing custom plugins, extensions, and integrations with third-party ERP and marketing systems Strong understanding of enterprise architecture, security models, data architecture, and Application Lifecycle Management (ALM) Experience with Azure DevOps, CI/CD pipelines, and solution deployment processes Strong experience in requirements analysis, business process mapping, fit-gap analysis, and functional specifications Experience leading technical teams and coordinating developers and consultants in Agile environments Experience supporting pre-sales activities, technical estimations, and solution demonstrations Strong communication, stakeholder management, and problem-solving skills Upper-Intermediate or higher level of English RESPONSIBILITIES Own the end-to-end technical and functional design of Microsoft Dynamics 365 Sales solutions Lead client workshops, stakeholder interviews, and fit-gap analyses to translate business requirements into functional specifications Design and optimize sales processes, including lead-to-opportunity, quoting, pipeline management, and forecasting Configure and customize Dynamics 365 Sales entities, workflows, business rules, forms, views, and dashboards Extend Dynamics 365 capabilities using Power Apps, Power Automate, Power BI, and Microsoft Dataverse Design and guide the development of custom C# plugins, .NET extensions, Azure Functions, and third-party integrations Ensure solutions align with enterprise architecture, security, data management, and ALM standards Act as a technical lead, providing architectural guidance and coordinating Agile delivery teams Collaborate with business stakeholders, developers, and consultants throughout the implementation lifecycle Prepare functional specifications, solution design documentation, and implementation guidelines Support testing, deployment, and User Acceptance Testing (UAT) activities Participate in pre-sales activities, including product demonstrations, solution scoping, and project estimations Ensure delivered solutions meet business objectives and support the target operating model

Задачи: — Системный аналитик в транспортной логистике и распределённых системах. — Экспертиза логистических систем и промышленной логистики. — Работа с полным циклом ИТ-проектов: от обследования и сбора требований до приёмки и запуска. Требования: — Опыт работы бизнес- или системным аналитиком от 3 лет, включая участие в ИТ-проектах полного цикла. — Опыт анализа и оптимизации бизнес-процессов: интервью с заказчиками, AS-IS / TO-BE, выявление узких мест, согласование целевой модели и бизнес-правил. — Умение формализовать бизнес-, пользовательские, функциональные и нефункциональные требования; приоритизация, трассировка изменений, согласование. — Навыки подготовки проектной документации: бизнес-требования, ФТТ/ТЗ, User Story и Use Case, инструкции, модели процессов, критерии приёмки. — Владение BPMN 2.0; понимание UML (Use Case, Sequence, Activity). — Практический SQL: JOIN, агрегации, проверка качества данных, работа со структурой БД. — Понимание принципов реляционных БД, нормализации, ER-моделирования. — Понимание интеграций: REST API, JSON, HTTP, основы SOAP/XML; описание контрактов API, маппинга данных, ошибок, идемпотентности. — Опыт взаимодействия с разработчиками, архитекторами, тестировщиками и бизнес-заказчиками. — Работа с Jira и Confluence; Visio, Draw.io или аналогами. — Опыт в транспортной/распределительной логистике, желательно нефтепродуктообеспечения. — Планирование цепочки поставок НПЗ → нефтебаза/терминал → АЗС. — Управление запасами, прогнозирование потребности, сезонность, критические остатки. — Планирование рейсов бензовозов с учётом ёмкости секций, совместимости продуктов, графиков НБ и АЗС, ограничений движения, режимов труда и отдыха водителей. — Маршрутизация, геозоны, GPS-мониторинг, оперативное перепланирование. — Работа с мастер-данными: НБ, АЗС, резервуары, нефтепродукты, транспорт, водители, тарифы, маршруты. — Расчёт и интерпретация KPI: доступность топлива на АЗС, запас в днях, выполнение плана, стоимость логистики, коэффициент использования пробега и объёма ТС, простои, время цикла рейса. — Отчётность и аналитика по запасам, рейсам, эффективности перевозок и отклонениям плана. — Умение переводить бизнес-правила и ограничения в проверяемые системные требования. — Опыт описания интеграций с учётными системами (1С/SAP), GPS-трекерами, мобильными приложениями и картографическими сервисами. — Понимание ролей и прав доступа, журналирования, надёжности и деградации функций при недоступности внешних систем. — Понимание принципов транзакционности, обработки ошибок и контроля целостности данных. — Умение читать логи, пользоваться Swagger/Postman; опыт работы с PostgreSQL или иной промышленной СУБД. — Понимание основ web/mobile-архитектуры будет плюсом. Будет преимуществом: — Проекты в нефтепродуктообеспечении, топливном ритейле, WMS/TMS/OMS/ERP, диспетчеризации или планировании цепочек поставок. — Опыт постановки задач для алгоритмов оптимизации: целевая функция, ограничения, сценарии, входные данные, критерии качества. — Знание Power BI, Tableau либо аналогов. Личные качества: — Умеет говорить с логистом и разработчиком на одном языке. — Может аргументированно работать с противоречивыми и неполными требованиями. — Системно мыслит, внимателен к данным и деталям, умеет фиксировать договорённости. — Грамотно пишет, уверенно проводит интервью и рабочие сессии, умеет защищать решение перед заинтересованными сторонами.

Задачи и обязанности: — Анализ бизнес-требований и постановка четких технических заданий инженерам данных на разработку и поддержку ETL-пайплайнов. — Валидация данных и приемка работы у инженеров данных, контроль качества. — Анализ отчетности: поиск аномалий, исследование причин отклонений, формирование и проверка гипотез. — Создание автоматизированной отчетности по метрикам. — Проведение AdHoc-исследований по запросам команды маркетинга для поддержки принятия операционных и стратегических решений. — Проектирование и аналитическое сопровождение A/B-тестов для оценки эффективности маркетинговых инициатив. Требования: — Уверенное знание Python и его библиотек для анализа данных. — Продвинутое знание SQL, опыт написания сложных запросов и оптимизации их производительности. — Аналитический склад ума, самостоятельность и проактивность. — Умение декомпозировать сложную бизнес-проблему на измеримые задачи. — Самостоятельность и проактивность, гибкость, умение выявлять бизнес-потребности и собирать/уточнять требования у бизнес-заказчиков. Будет плюсом: — Опыт работы с корпоративными DWH (Greenplum, Clickhouse и др.), инструментами автоматизации (например, Airflow), BI-системами (Tableau, Power BI). — Опыт работы в отделе маркетинга и понимание метрик performance-маркетинга (CPA, CPO, ROMI/ROAS, LTV, CAC). Условия: — Гражданство РФ/РБ и дружественные страны. — Локация: Москва, проспект Лихачёва. — Формат работы: гибрид. — Срок проекта до 30.09.2027 с возможной пролонгацией. — Возраст до 45 лет. — Ставка 2000 рублей с НДС, отсрочка 35 рабочих дней.

Location: Brisbane, Australia VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Years on from its humble beginnings in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the role VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse. In this role, you will Serve as a data product owner for business-facing dashboards and insights tools - ensuring they align with stakeholder needs and drive measurable impact. Partner with Commercial, Product, and Customer Success teams to gather requirements, define key metrics and build reliable, trusted datasets that power self-serve analytics and business decisions. Design, develop, and own dashboards that track client engagement, retention, renewals - delivering clear, actionable insights to the Commercial and Customer Success teams. Build and maintain scalable analytics pipelines in Azure Databricks to support client-facing and internal reporting across the commercial function. Apply best practices in analytics engineering and dimensional modelling to create scalable, well-documented data models for use across reporting and forecasting tools. Work with the business to continuously improve data generation processes across key domains including product usage, client health, and commercial performance. What we are looking for Our ideal candidate has: Has a strong passion for improving business outcomes and delivering measurable value through data Brings proven experience as an Analytics Engineer, building trusted, scalable data models on platforms such as Azure Databricks and Azure SQL (or similar) Partners with, and effectively manages stakeholders to translate business questions into clear, actionable data solutions Is highly proficient in Spark SQL, PySpark, and T-SQL (or similar) for transforming and modelling data to support commercial analytics use cases Designs and delivers high-quality semantic models and dashboards (Databricks, Power BI or similar), with a strong focus on metric definition and usability Has deep experience with dimensional (Kimball) data modelling to support analytics at scale Champions data quality, governance, and Master Data Management (MDM) to ensure consistency, accuracy, and trust across data assets Why VALD? You will be working in a fast-paced, dynamic company that has a culture around the belief that anything is possible with hard work, creativity, dedication, and good timing. We have a range of benefits we offer to our team, such as: The opportunity to work in a company that is redefining allied healthcare. Working with a range of high-performing individuals and teams across a range of disciplines. Working with contemporary tooling on industry first applications. Casual work attire. Chefs that prepare you delicious fresh breakfast and lunch. An on-site barista to make your coffee just as you like it. A team gym, masseuse, and access to physiotherapy and exercise physiology services. Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Apply now We can't wait to meet you and discuss what a career with VALD could look like for you! Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results. Salary: Up to $175,000 / year

Location: València, Spain We currently have a vacancy for a Senior Databricks Administrator/Architect fluent in English, to offer his/her services as an expert remotely. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Collaborate with Data Platforms and Integration team in architecting and implementing scalable enterprise data platform solutions utilizing Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, Azure Data Factory, Azure Event Hub, Azure SQL, and related Azure services; Design and develop enterprise data engineering frameworks supporting batch,  streaming, ELT/ETL, and real-time analytics workloads; Administer and maintain Azure Databricks workspaces including cluster configuration, job scheduling, workspace administration, Unity Catalog implementation, secret management, compute policies, cluster policies, and workspace governance; Define and implement enterprise security architecture including identity integration with Microsoft Entra ID (Azure AD), Role-Based Access Control (RBAC), Privileged Identity Management (PIM), data encryption, private networking, managed identities, Key Vault integration, and secure access patterns; Establish enterprise data governance standards utilizing Unity Catalog including data lineage, data quality, metadata management, catalog organization, access policies, and audit capabilities; Deploy and Configure CI/CD pipelines utilizing Azure DevOps and Databricks Asset Bundles (DAB), Infrastructure as Code (Terraform/Bicep where applicable), deployment automation, release management, and environment promotion strategies; Optimize Databricks workloads through performance tuning, Spark optimization, cluster sizing, workload isolation, caching strategies, partitioning, Delta optimization, Photon, and cost optimization best practices; Design enterprise monitoring, logging, operational dashboards, alerting, and platform health monitoring utilizing Azure Monitor, Log Analytics, Application Insights, and Databricks system tables; Develop reusable architecture patterns, reference implementations, development standards, naming conventions, coding standards, operational procedures, and platform documentation; Support migration of legacy enterprise data warehouses, ETL solutions, and reporting platforms to Azure Databricks and modern Lakehouse architecture; Provide technical support and troubleshooting for production incidents related to  Azure Databricks, Spark workloads, data pipelines, and platform infrastructure. Requirements University degree in combined with relevant IT professional experience of 9 years; At least 8 years of experience in designing and implementing enterprise data platforms; At least 5 years of hands-on experience hands-on Azure Databricks experience in enterprise environments; Experience with architecting modern Lakehouse solutions using Azure Databricks and Delta Lake; Experience in administering Azure Databricks workspaces, clusters, Unity Catalog, compute policies, job orchestration, and workspace security; Experience in developing data engineering solutions using Apache Spark (PySpark and/or Spark SQL); Experience in implementing enterprise data governance utilizing Unity Catalog,  metadata management, data lineage, and fine-grained access controls; Experience implementing Infrastructure as Code using Terraform and/or Bicep; Strong experience implementing CI/CD pipelines utilizing Azure DevOps, automated testing, release management, and deployment automation; Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security; Experience implementing enterprise data quality frameworks, monitoring, observability, and operational dashboards; Strong understanding of data modelling techniques including dimensional modelling, Data Vault, medallion architecture, and enterprise data warehouse concepts; Strong knowledge of Azure Data Lake Storage Gen2, Azure Data Factory, Azure Event Hub, Azure SQL Database, Azure Key Vault, Azure Monitor, Microsoft Entra ID (Azure AD), and Azure networking; Strong SQL programming skills and proficiency in Python and PySpark development; Knowledge of AI/ML workloads, Databricks ML, Feature Store, Model Serving, and Generative AI architectures is considered an asset; Experience with Power BI, Microsoft Fabric, Synapse Analytics, or other enterprise analytics platforms is highly desirable; Experience working within large international organizations, NGOs, or United Nations agencies is desirable; The following certifications are desirable: Databricks Certified Platform, Architecture/Microsoft Azure Solution Architecture Expert/Databricks, Certified Data Engineer Associate/Professional; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (20199/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Задачи: — Собирать и формализовывать требования: взаимодействовать с внутренними заказчиками, уточнять бизнес-задачи и переводить размытые запросы в понятную структуру отчёта; описывать показатели и логику их расчёта. — Работать с данными для отчётности: писать SQL-запросы, готовить датасеты и простые витрины на основе уже подготовленных данных, проверять достаточность витрин, и корректность данных, и расчётов для построения отчётов. — Работать с Superset: участвовать в развитии BI-платформы, создавать и настраивать датасеты, чарты и дашборды, проверять доработки в тестовой версии, участвовать в обработке бэклога и предлагать улучшения отчётности и визуализаций. — Участвовать во внедрении AI-решений в BI — от автоматизации создания отчётности, до развития AI-инструментов для анализа и интерпретации данных. — Поддерживать пользователей по вопросам отчётности, логики показателей и работы дашбордов. Требования: — Опыт работы в BI, аналитике данных, отчётности или смежной роли от 1,5–2 лет. — Уверенное знание SQL: JOIN, CTE, оконные функции, агрегации, CASE WHEN, фильтрация и работа с датами. — Опыт работы с BI-инструментами: Superset, Redash, Power BI, Tableau, Qlik, DataLens или аналогами. — Умение собирать требования, выстраивать коммуникацию с внутренними заказчиками, уточнять бизнес-задачи и согласовывать логику показателей. — Понимание принципов построения аналитических витрин и управленческой отчётности, визуализации данных; умение создавать понятные и удобные дашборды. — Умение объяснять пользователям, как формируются цифры в отчётах. — Базовое понимание витрин, датасетов, справочников, фактов и измерений. — Готовность работать с тестовой версией BI-инструмента и проверять небольшие доработки. — Будет преимуществом опыт использования AI-инструментов и агентов в аналитике и автоматизации, а также понимание принципов построения агентных процессов: постановки и декомпозиции задач, управления контекстом, подключения инструментов и источников данных, контроля качества и проверки результатов. Условия: — Официальное оформление по ТК РФ: белая заработная плата, стабильный и прозрачный доход, оплачиваемые отпуск и больничные. — График работы 5/2 с 9:00 до 18:00, сокращённая пятница. — Современный и уютный офис с комфортными зонами отдыха, Дмитровское шоссе, 85 Метро «Селигерская». — Поддержка в период адаптации: открытую коммуникацию и помощь команды в решении рабочих вопросов. — Значительные скидки на ассортимент компании: мебель, гаджеты и бытовую технику. — Регулярные командные встречи, тимбилдинги, клубы по интересам и корпоративные мероприятия. — Амбициозную и поддерживающую среду для вертикального и горизонтального роста. — Доля сотрудников, успешно выросших внутри компании, превышает 20% штата. — Демократичную корпоративную культуру и общение «без галстуков» на всех уровнях компании. — Собственную инфраструктуру: прямой доступ к серверам, сервисам и базам данных, а также возможность быстро внедрять новые подходы и инструменты без долгих согласований. — Возможность активно работать с AI-инструментами и агентными подходами, участвовать в их внедрении и развитии.

Задачи: — Анализировать рынок, конкурентов, тренды и новые продукты — Строить продуктовую матрицу и продуктовые линейки — Сегментировать клиентов и определять целевые группы — Готовить аналитические отчеты для руководства — Участвовать в разработке стратегии продуктового портфеля — Взаимодействовать с отделами продаж, закупок и разработки Требования: — Опыт в маркетинге, продуктовой аналитике или стратегическом маркетинге от 3 лет — Опыт анализа рынков, продуктов, конкурентов в B2B — Умение работать с данными, строить выводы и рекомендации — Навыки сегментации рынка и клиентов — Понимание B2B-маркетинга и циклов продаж — Уверенное владение Excel, PowerPoint, CRM — Аналитический склад ума, системное мышление — Самостоятельность, инициативность, проактивность Будет преимуществом: — Опыт в ветеринарии, фармации, медицине, биотехнологиях — Опыт работы с продуктовым портфелем и запуска новых продуктов — Знание Power BI или аналогичных инструментов — Понимание специфики ветеринарного рынка Условия: — Формат работы: офис — График: 5/2, полный день — Заработная плата: 120 000-140 000 — Официальное трудоустройство — Возможность влиять на продуктовую стратегию — Профессиональный рост и развитие

Основные требования: — Высшее техническое образование в сфере информационных технологий, телекоммуникаций или программного обеспечения. — Опыт работы не менее 5 лет в сфере системной интеграции, у крупных ИТ-производителей ПО или в телекоммуникационной отрасли, включая координацию кросс-функциональных команд и наставничество. — Глубокое знание облачных технологий и принципов построения облачных решений. — Опыт проектирования решений на базе Microsoft Azure, Microsoft 365 и AWS. — Практический опыт разработки политик управления облачными ресурсами (Cloud Governance, Security, FinOps). — Навыки автоматизации процессов с использованием Terraform, PowerShell, Azure CLI и API. — Знание архитектуры сетей связи, включая коммутацию пакетов, каналы, принципы работы операторов сотовой связи (GSM 2G/3G/LTE), наземные и спутниковые системы связи. — Владение инструментами моделирования и анализа данных: MS Office, MS Visio, BPMN, Power BI, SQL. Задачи: — Проектирование комплексных облачных и гибридных решений для корпоративных клиентов на базе Microsoft Azure, Microsoft 365, AWS и других облачных платформ. — Анализ текущей ИТ-инфраструктуры клиентов, сбор требований, выявление технических ограничений, рисков и формирование целевой архитектуры с учетом безопасности, надежности, масштабируемости и эффективности затрат. — Участие в полном жизненном цикле облачных проектов: от предпродажной подготовки (presales) и проектирования до миграции, внедрения и оптимизации. — Разработка и внедрение принципов управления облачными ресурсами (Cloud Governance, информационная безопасность и FinOps), включая оптимизацию затрат на облачную инфраструктуру и совокупной стоимости владения (TCO). — Автоматизация инфраструктуры и процессов с использованием инфраструктуры как кода (IaC) — Terraform, PowerShell, Azure CLI и API. — Техническое лидерство в проектах, координация кросс-функциональных команд, экспертная оценка архитектурных решений и наставничество инженеров. — Подбор и оптимизация лицензирования Microsoft и облачных сервисов под бизнес-требования клиентов. — Экспертная поддержка, диагностика и устранение сложных инфраструктурных сбоев (troubleshooting), а также развитие облачной платформы. Условия: — Конструктор льгот: страховка, билеты, курсы, фитнес, садик — выбор за сотрудником. — Поддержка психологов для ментального здоровья. — Курсы и книги от Coursera, LinkedIn Learning, WebTutor и Альпина за счет компании. — Конкурентная зарплата с регулярным пересмотром и бонус за выполнение KPI. — Оплата связи от Beeline. — Возможность карьерного роста в крупной технологичной компании с 10 млн клиентов. — График работы: полный день. — Тип занятости: полная занятость.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR and approaching 100 Million in Annual Recurring Revenue. Over 5000 businesses, almost 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5. About the role 🤓 We’re looking for a Fraud Optimization Specialist to strengthen the performance of our detection systems. You will analyze fraud patterns, enhance controls, guide new product launches, and partner with Product, Data, and Operations to design scalable, tech-enabled solutions. This is a hands-on, impact-oriented role for someone who thrives at the intersection of analytics, risk strategy, and cross-functional execution. Your insights will help us reduce losses, accelerate safe growth, and continuously upgrade our fraud ecosystem. What challenges you'll be solving 🚀 Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging advanced risk rules and Machine Learning scores. Assess fraud risks for new features, launches, and markets, advising Product and Operations, identify control gaps, and define remediation plans. Develop and maintain executive dashboards (Metabase/Tableau) to track fraud performance, financial exposure, and other metrics; provide concise fraud insights, trends, and recommendations to leadership. Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement. Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls, translating complex fraud risk scenarios into scalable, tech-driven solutions. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Professional development workshops or seminars. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and Adeslas. Urban mobility by using your own bike with Kleta. Free access to healthy, organic, and sustainable fruits and snacks. Moreover, we offer a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include various activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. What you’ll need 🫱🏼‍🫲🏽 5+ years of experience working with fraud detection technologies within fintech, payments, BNPL, or e-commerce, from rule creation to performance optimization. Proficiency in SQL and data visualization skills (Metabase, Looker, Tableau, Power BI, etc.), with ability to build dashboards, automate monitoring, and interpret large data sets. A proven track record of delivering fraud risk assessments, gap remediation, and fraud prevention strategies Excellent communication and collaboration skills, with ability to influence cross-functional stakeholders, across product, operations, and compliance. We kindly ask that you submit your CV in English , as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a proactive, resourceful, and AI-forward Tech & Marketing Operations Specialist to manage our technology projects, keep our learning platforms running seamlessly, and power the marketing engine that brings students to them  This role suits someone with a broad technical fluency who thrives on coordination, troubleshooting, and hands-on building. You don't need to be a professional developer, but you do need to be comfortable using tech tools to design, prototype, and ship real solutions.  The position will be based at the Madrid office with a hybrid work model. What You’ll Do Platform & Systems Management Tech project management: Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals. LMS management (WordPress & LearnDash): Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting. CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud): Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed. System integration: Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations. Data integrity & reporting: Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed. Website support: Provide general technical support for the website and coordinate with relevant resources to resolve issues. Compliance & security: Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT. Marketing Operations & Growth Campaign execution: Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene. Landing pages & lead capture: Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation. Tracking & attribution: Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end. Lifecycle & retention automation: Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers. Martech stack & compliance: Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy. AI for marketing: Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling. Technical Bridge & Coordination Stakeholder liaison: Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications. Specification writing & QA: Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout. Documentation: Keep the operations manual and technical documentation current and useful for the team. Cross-functional project leadership: Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step. AI Development & Innovation AI builder mindset: Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting). Tool development: Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features. Exploration & evaluation: Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.). AI project ownership: Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling). Responsible use: Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems. What You Need For This Role You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others. You have 5+ years of experience managing Education and Marketing tech projects. You are genuinely curious about AI and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool). You bring project management skills with a track record of leading initiatives from scope to delivery. You're a strong communicator who moves comfortably between technical and non-technical audiences. You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked. You understand marketing funnels and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements. Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued. Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus. You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs. Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus. Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued. You're highly organized, detail-oriented, and capable of managing multiple concurrent projects. You're a self-starter, comfortable working independently. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 40,000. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Senior Marketing Analytics Consultant в Improvado. Требования: владение SQL, Looker, Power BI или Tableau, уровень английского C1. Компания Improvado — сервис для агрегации маркетинговых данных, среди клиентов ASUS, illy, Wrike и другие. Размер команды — 150 человек, инвестиции — $34M.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Задачи: — Готовить и поддерживать ежедневную, еженедельную и ежемесячную операционную отчётность для руководителей и функциональных команд. — Разрабатывать и автоматизировать отчёты в Excel с использованием Power Query, сложных формул и макросов. — Писать SQL-запросы для выборки, агрегации и трансформации данных; поддерживать и развивать витрины данных в PostgreSQL и ClickHouse. — Анализировать отклонения ключевых метрик, выявлять причины изменений и готовить рекомендации для бизнеса. — Разрабатывать и поддерживать дашборды в Grafana, настраивать алерты по критическим отклонениям показателей. — Собирать данные из нескольких источников, обеспечивать их стыковку, проводить валидацию и сверку метрик между системами. — Участвовать в настройке и поддержке ETL/ELT-процессов при необходимости. — Собирать и уточнять требования к отчётам и метрикам у бизнес-заказчиков. — Документировать логику расчётов, определения метрик, бизнес-правила и инструкции для пользователей. — Консультировать коллег по работе с отчётами и дашбордами. Требования: — Опыт работы аналитиком данных, бизнес-аналитиком или аналитиком операционной отчётности от 1–2 лет. — Законченное высшее образование. — Продвинутый SQL и уверенное владение Excel. — Опыт работы с реляционными базами данных и BI-инструментами. — Понимание принципов контроля качества данных, валидации показателей и воспроизводимой отчётности. — Умение работать с несколькими источниками данных и понимание различий OLTP- и OLAP-нагрузок. — Внимательность к деталям, системное мышление, ответственность за сроки и качество результата. — Умение объяснять аналитические выводы понятным для бизнеса языком. Будет преимуществом: — Опыт работы с ETL/ELT-инструментами: Apache NiFi, Airflow или аналогами. — Базовые навыки Python и pandas для анализа данных и автоматизации задач. — Опыт работы с Git, Jira и Confluence. — Опыт в сферах закупок, банковских гарантий, финансовых операций, документооборота или операционной отчётности.

Задачи: — Отвечать за продуктовую, клиентскую и финансовую аналитику, находить точки роста и превращать их в понятные бизнес-решения — Влиять на решения команд продукта, маркетинга и финмодели через данные: от постановки вопросов до оценки эффекта на P&L — Погружаться в спортивный мир глазами беттора, анализировать поведение пользователей, метрики и сегменты на каждом этапе пути — Переводить инсайты о мотивации и поведении игроков в продуктовые и коммуникационные решения для повышения удержания и монетизации — Развивать клиентскую, продуктовую и финансовую аналитику в логике запросов бизнеса — Строить когортную аналитику и юнит-экономику продукта, искать связи игровых поведенческих факторов с ключевыми финансовыми метриками — Проектировать и проверять гипотезы, в том числе через A/B-тесты, помогать командам принимать продуктовые и финансовые решения на основе данных — Находить зоны роста бизнеса через анализ данных, инициировать и поддерживать оптимизацию процессов для ускорения принятия решений с прогнозируемым эффектом на P&L Требования: — Глубокое понимание методологий анализа данных и статистики, самостоятельное применение в продуктовых задачах от постановки гипотез до принятия решений — Будет плюсом опыт предиктивного моделирования и ML-подходов — Уверенное и самостоятельное написание сложных SQL-запросов и использование Python для аналитики, автоматизации отчетов и экспериментов — Опыт работы с большими объемами и разнородными источниками данных, умение наводить порядок в схемах, витринах и логах — Владение инструментами визуализации данных (Tableau, Power BI, DataLens или аналоги) и умение собирать дашборды для принятия решений; знание Tableau будет плюсом — Высокий уровень критического мышления и сильные коммуникативные навыки: умение проверять выводы, задавать неудобные вопросы к данным и объяснять сложные аналитические концепции простым языком — Умение работать в связке с продуктом и бизнес-командами, принимать решения командно Условия: — Процесс отбора: звонок с рекрутером, интервью с руководителем, финальная встреча в офисе, собеседование и оффер.

Location: Remote USA Workplace: remote ABOUT YOU We're looking for a commercially driven, analytically sharp, and results-oriented Account Manager to join the Xsolla Offerwall team. This is an exciting opportunity to own the advertiser side of a premium rewarded inventory network at the intersection of mobile gaming, user acquisition, and advertising technology. The best candidate is someone who thrives in a fast-paced, highly collaborative environment and is passionate about helping game studios achieve their acquisition goals through performance-driven advertising. In this client-facing role, you'll build and grow relationships with gaming studios and UA teams, optimizing campaign performance and ensuring partners get measurable results through Xsolla's Offerwall. You'll serve as a trusted advisor to advertisers, translating data into actionable strategies, and collaborate closely with Xsolla's product, operations, and technical teams to continuously improve the partner experience. Strong account management skills, a deep familiarity with mobile gaming and performance advertising, and the ability to balance day-to-day campaign management with long-term partner growth will be key to your success. If you're energized by the intersection of gaming and performance marketing and love building meaningful advertiser relationships, we'd love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Partner Growth & Account Management Guide new publisher integrations from onboarding through launch, nurture long-term monetization partnerships, and expand existing accounts by driving adoption and incremental revenue growth through Xsolla's Offerwall. Balance multiple accounts and priorities in a fast-paced environment, consistently delivering results under shifting timelines. Maintain deep knowledge of mobile advertising, the rewarded ecosystem, and app monetization models to ensure partner strategies stay competitive. Problem Solving & Diagnostics Serve as the first line of defense when a partner reports a performance drop, integration bug, or unexpected revenue anomaly — approaching each issue methodically: isolate the variable, form a hypothesis, and validate it against the data before proposing a fix. Analyze data to uncover trends, diagnose challenges, and recommend optimization strategies that drive measurable revenue impact, distinguishing symptoms from root causes rather than treating surface-level fixes as solutions. Own ambiguous, cross-functional problems end-to-end — coordinating with product, engineering, and operations to identify what's broken, why, and what the right fix is, even when the answer isn't immediately obvious. Anticipate downstream issues before they escalate, using pattern recognition from past partner problems to flag risks proactively rather than reactively. Strategic Relationships & Executive Communication Own and cultivate strategic relationships with senior and executive stakeholders at publisher partners, acting as a trusted advisor rather than a transactional point of contact. Prepare and deliver executive-level business reviews, business cases, and growth roadmaps that translate complex data and problem resolutions into clear, actionable business outcomes for senior decision-makers. Tailor communication style and depth to the audience — distilling technical or operational detail into strategic narratives when presenting to executives, while retaining the ability to go deep on the details with day-to-day partner contacts. Represent Xsolla in high-stakes conversations (renewals, escalations, strategic planning) where executive trust and credibility directly influence partner retention and growth. Collaborate cross-functionally with internal product, operations, and technical teams to implement partner requirements and resolve potential blockers, and know when an issue needs to be surfaced to internal leadership. Qualifications & Skills: Experience 3+ years in digital media, mobile advertising, programmatic, or related SaaS/AdTech account management, sales, or business development. Demonstrated ability to grow client portfolios, negotiate partnerships, and achieve or exceed revenue targets. Problem-Solving Mindset A structured approach to ambiguity — comfortable breaking down a messy, undefined problem into testable pieces rather than waiting for someone else to define the issue. Track record of resolving complex, cross-functional issues independently, knowing when to dig in personally versus when to loop in the right internal stakeholder. Genuine curiosity about "why" — treats every escalation or performance dip as a question to be answered with data, not just a ticket to be closed. Resilience and resourcefulness when the first solution doesn't work; iterates rather than stalls. Analytical Strength Comfortable interpreting data sets (e.g., KPIs such as CPM, CTR, LTV, retention, or ARPU) and translating insights into strategy and root-cause diagnosis. Communication & Executive Presence Exceptional written, verbal, and presentation ability; adept at simplifying technical and performance concepts for diverse audiences, including senior and executive stakeholders. Demonstrated experience managing strategic relationships with VP or C-level contacts, including leading executive business reviews and high-stakes partner conversations. Proven success working with cross-functional groups, particularly product, operations, and technical teams, to drive problems to closure. Industry Knowledge Understanding of mobile ecosystems, rewarded ads, ad monetization strategies, and performance marketing models. Mindset Proactive, entrepreneurial, and results-driven; thrives in fast-moving environments with minimal structure. Views obstacles as puzzles to be solved rather than blockers to be reported. Tools Proficiency in productivity and analytics tools (e.g., Google Sheets, BI dashboards, CRM platforms, and presentation software). Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Demand Account Manager, we will conduct a background check that may include the following:  Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.