Вакансии

Задачи: — строить продуктовую аналитику — исследовать поведение игроков — выявлять возможности для роста на веб и мобильных продуктах — владеть полным аналитическим процессом: от постановки исследовательских вопросов и подготовки данных до рекомендаций по улучшению продукта и измерения их влияния

Задачи: — Проводить обследования бизнес-процессов клиентов, выявлять потребности и строить цифровые модели работы на платформе 1С — Проводить встречу с клиентами и продавать компетенции ГОЗ и услуг через встречу с клиентом — Оценивать трудозатраты и обосновывать архитектуру решений — Фиксировать необходимые доработки, готовить техническую документацию: отчёты о предпроектном обследовании, технические задания, протоколы тестирования — Участвовать в тестировании нового функционала, сдавать работы руководителю проекта и клиентам — Сопровождать пользователей на этапе опытной эксплуатации — Соблюдать стандарты качества и сроки выполнения работ Требования: — Аналитика 1С с опытом работы в сфере ГОЗ — Понимание специфики оборонного заказа, требований 275-ФЗ и особенностей учёта на предприятиях ГОЗ — обязательно — Обязательный опыт работы в сфере ГОЗ (понимание специфики, требований 275-ФЗ, особенностей учёта, опыт формирования РКМ, ОИС ГОЗ) — Знание 1С или желание обучаться в процессе работы — Аналитический склад ума, внимательность к деталям, ответственность Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо или гибрид или офис

Ищем Senior GenAI-разработчика на проект крупной компании из сферы добывающей промышленности. Основная задача - разработка и внедрение корпоративных GenAI-решений: AI-агентов, мультиагентных систем, RAG-конвейеров и автоматизаций в закрытом защищённом контуре. Задачи: — Разработка AI-агентов и субагентов с использованием tool-calling — Построение мультиагентных систем и управление цепочками вызовов — Создание автоматизаций и workflow в n8n, Flowise, Dify, Langflow или аналогичных платформах — Разработка бизнес-логики и кастомных функций на JavaScript, TypeScript и Python — Построение RAG-конвейеров: подготовка данных, embeddings, поиск и работа с векторными базами — Интеграция с внутренними сервисами и витринами данных через REST API и OAuth2 — Парсинг, сбор, нормализация и трансформация данных из внешних источников — Проектирование промптов для суммаризации и генерации структурированных отчётов — Развёртывание и эксплуатация open-source и on-prem LLM в закрытом корпоративном контуре — Работа со структурированными данными, PostgreSQL и JSON — Участие в анализе и формализации бизнес-требований Требования: — Опыт коммерческой разработки GenAI-решений на уровне Senior — Уверенное владение JavaScript, TypeScript и Python — Практический опыт создания AI-агентов и мультиагентных систем — Опыт хотя бы с одним из стеков: LangChain / LangGraph, LlamaIndex, Semantic Kernel, CrewAI / AutoGen, n8n / Flowise / Dify / Langflow — Опыт разработки RAG-решений и работы с векторными хранилищами: PGVector, Qdrant, Milvus или аналогами — Уверенная работа с PostgreSQL, JSON, REST API и OAuth2 — Опыт работы с LLM и prompt engineering — Опыт развёртывания локальных моделей в закрытом контуре — Готовность вести разработку и эксплуатацию решения в ОС Windows — Понимание принципов защиты чувствительных и корпоративных данных Будет преимуществом: — Опыт работы с MCP — Model Context Protocol — Разработка кастомных нод и sub-workflows в n8n — React — GraphQL — FastAPI — Опыт работы с веб-поиском, парсингом и внешними API — Опыт участия в корпоративных или промышленных проектах

Задачи: — Дизайн и анализ тестов CVM-цепочек (push, SMS, e-mail, in-app), оценка инкрементального эффекта. — Сегментация гостей, поиск точек реактивации и роста частоты. — Дизайн и оценка кампаний, в том числе кампаний на средства маркетингового фонда партнёров. — Настройка KPI кампаний: прогноз метрик до запуска, сравнение плана и факта после. — Аналитика performance-маркетинга: атрибуция, CAC, окупаемость каналов. — Операционная поддержка волн NPS и других опросов. — Анализ NPS и отзывов, поиск инсайтов, дашборды. — Исследование аудитории и поведения сегментов, генерация гипотез для маркетинга. — Разбор вопросов бизнеса, например, почему упали продажи в Екатеринбурге, какая каннибализация возникает при открытии кофейни по соседству, как повлияло повышение цен в Астане. Требования: — Опыт от 3 лет в аналитике, желательно в B2C, e-com, ритейле или маркетинге. — Сильный SQL, уверенный Python (pandas, визуализация). — Опыт дизайна и анализа A/B-тестов, знание матстатистики. — Опыт квази-экспериментов (DiD, synthetic control, causal impact). Нужен там, где рандомизация невозможна: гео-кампании, цены, открытия. — Понимание маркетинговых метрик: LTV, CAC, retention, инкрементальность, атрибуция. — Опыт с BI.

Требования: — 8+ лет опыта в аналитике данных, продуктовой аналитике, BI или смежной области — Глубокая экспертиза в SQL и работе с большими сложными датасетами — Продвинутый опыт с dbt и моделированием данных — Продвинутый опыт с Tableau или аналогичными BI-платформами Важно: — Удалённо только для сотрудников из США О компании: Zip расширяется за пределы основного BNPL-продукта в новые финансовые продукты.

Требования: — Опыт Business Analyst от 3 лет в продукте — Практический опыт выстраивания и оптимизации аналитических процессов — Владение User Stories, Acceptance Criteria, BPMN/UML, Jira, Confluence — Понимание REST API и интеграций О компании: Продуктовая компания с развивающейся iGaming-платформой.

Требования: — Уверенный SQL — Хорошее аналитическое и структурное мышление — Умение разобраться в причинах изменений и сделать выводы — Опыт работы аналитиком будет преимуществом О компании: Развиваем аналитику Kaspi Магазина.

Требования: — 3.5+ лет опыта системным аналитиком — Опыт работы Product Owner — Владение UML, BPMN, Jira, Confluence, Draw.io — Сильный SQL (PostgreSQL или аналоги) О компании: Andersen с 2007 года, команда BA & SA из 200+ аналитиков. Проект — интеграционный слой для страховых и клиентских процессов международной финансовой организации.

Требования: — Продвинутый SQL и сильные навыки анализа данных — Сильные навыки BI/дашбордов и визуализации данных — Глубокое знание страховых метрик (премии, выплаты, убыточность, отток) — Понимание статистики, прогнозирования и дизайна KPI О компании: PASHA Insurance OJSC — страховая компания; роль в департаменте управления данными.

Требования: — Опыт участия во внедрении систем планирования поставок, производства или цепей поставок (Supply Chain) — Знание принципов Supply Chain Planning: баланс спроса и предложения, пополнение запасов — Опыт разработки или настройки решений на low-code платформах — Уверенное понимание реляционной модели данных и SQL О компании: Проект планирования сети поставок (In.Plan). Условия: Загрузка ~160 ч/мес, длительность от 3 месяцев с возможностью продления.

Задачи: — Собирать и проверять информацию, работать с готовыми данными по инструкции. Условия: — Удаленная работа; — Неограниченное количество заданий; — 22+, Гражданство РФ;

Компания «ЭЛБИУС» развивает высоконагруженный мобильный сервис продажи электронных билетов с многомиллионной аудиторией. Мобильное приложение взаимодействует с бэкенд-сервисами, которые интегрируются с банковскими системами, операторами фискальных данных и билетными шлюзами для доставки билетов на мобильные устройства пользователей. Задачи: — Уточнять требования: выяснять цели изменений, ограничения и зависимости, получать недостающую информацию от команды и участников интеграций. — Проектировать API и взаимодействие систем: определять логику обмена данными между мобильным приложением, бэкендом и внешними сервисами. — Прорабатывать платёжные и билетные сценарии: описывать основной путь, возвраты, сверку и обработку сбоев. — Готовить описания задач для бэкенда и фронтенда: создавать API-контракты, модели данных и sequence-диаграммы. — Фиксировать функциональные и нефункциональные требования, согласовывать решения и критерии приёмки с командой. — Сопровождать реализацию вплоть до приёмки: отвечать на вопросы разработчиков и QA, проверять результат и обновлять документацию. Требования: — Не менее трёх лет системного анализа с личным опытом проектирования API и интеграций. — Личный опыт проектирования платёжных интеграций и сопровождения их реализации: эквайринг банковских карт, процессинг, платёжные шлюзы или СБП. — Понимание ролей участников и жизненного цикла платёжных операций. — Умение создавать REST API-контракты в OpenAPI/Swagger: описывать запросы и ответы, поля, валидацию, коды состояния HTTP, ошибки и версионирование. — Практический опыт проектирования взаимодействий через Kafka; умение выбирать между синхронным и асинхронным обменом, учитывать повторную доставку сообщений и сбои обработки. — Умение проектировать транзакционные сценарии: обеспечивать целостность данных и согласованность состояний операций, учитывать идемпотентность, таймауты, повторы, недоступность сервиса, неизвестный результат и частичный успех. — Знание безопасности API: аутентификация и авторизация, роли и права доступа, токены и сертификаты, доверие между сервисами, аудит действий пользователей и систем. — Умение описывать модели данных (сущности, связи и атрибуты) и строить sequence-диаграммы. — Умение обосновывать технические решения и формулировать однозначные требования, по которым команда может реализовать и проверить функциональность. Будет преимуществом: — Опыт проектирования сценариев работы и интеграций для мобильных приложений. — Опыт с билетными и транспортными сервисами, транспортными картами, NFC, фискализацией. — Профильное высшее образование или завершённые курсы системного анализа. Условия: — Официальное оформление, полная занятость, полный рабочий день. — Конкретное предложение в указанном зарплатном диапазоне определяется по результатам отбора. — Работа в офисе в Москве, Донской район (метро «Ленинский проспект», «Шаболовская», «Тульская», МЦК «Площадь Гагарина»). — Испытательный срок три месяца. — ДМС после успешного прохождения испытательного срока. — После испытательного срока возможен гибрид по согласованию, с учётом результатов работы и самостоятельности. Отбор: 1. Знакомство с резюме и уточнение условий сотрудничества. 2. Короткое интервью (скрининг до 20 минут) по вашему опыту и основам системного анализа. 3. Собеседование с руководителем: вначале небольшая практическая задача, затем обсуждение практических кейсов и вашего опыта. Подбор ведётся напрямую, без посредников, с возможностью обсудить задачи и условия с потенциальным работодателем.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, People technology never stands still, and this role will be at the center of it. Reporting to the Senior Director, People Technology, you’ll work alongside senior team members and partner closely with People Operations, People Business Partners and Talent Acquisition to keep our People systems running at the speed of a fast-moving, innovative tech company. No two days will look the same. One day you’re running recurring processes and answering questions from teams across the organization, the next you’re preparing Sarbanes-Oxley (SOX) audit evidence, building reports, writing test cases or delivering quarterly and annual changes and system upgrades. Using cycle-time analysis, best-practice research and AI tools, you’ll find better ways to operate and create streamlined, delightful experiences for the people using our systems, while growing your career in an all-remote, async-first environment. What You’ll Do Keep pace with the daily rhythm of a high-growth company by owning recurring processes, monitoring system health, resolving issues quickly and serving as a go-to resource for teams across the organization, especially People Operations, People Business Partners and Talent Acquisition. Protect data integrity by administering system security, assigning and maintaining security roles, and running regular system and security audits. Configure, test and deploy day-to-day enhancements as well as quarterly and annual changes, including annual People programs, so every update lands cleanly and on schedule. Support upgrades and releases by reviewing new features, running regression tests and helping stakeholders get ready for what’s changing. Write and run test cases, and keep clear documentation of configurations, business processes, and reporting and integration schedules. Load mass datasets and distribute policies and documents with confidence and thorough testing. Prepare and maintain SOX information technology general controls (ITGC) audit evidence and internal controls documentation, following access, security and change-management standards with care. Build and maintain reports and dashboards that help stakeholders make decisions. Use cycle times and process data to find friction, then recommend and make configuration changes and measure their impact. Help team members get the most out of their tools through training and enablement. Research best practices and new capabilities, and use AI every day to automate manual tasks, speed up analysis and share what you learn. Support senior team members on cross-team projects and implementations, owning your workstreams and delivering quality results on time. What You’ll Bring Hands-on HR technology experience, including exposure to Workday configuration, testing or system support. Exposure to public company operating procedures, such as SOX ITGC controls, audit evidence and change management. A curious, puzzle-loving approach to problem-solving, backed by experience investigating issues, analyzing process data and finding the “why” behind a problem. An AI-forward mindset, with experience using AI tools in your daily work to automate tasks, speed up analysis and improve processes. Experience validating system changes and documenting findings clearly, along with close attention to detail and sound discretion with highly confidential information. Independence and an ownership mindset: you take accountability for outcomes, move work forward with confidence and follow through on commitments. A collaborative, customer-focused approach. You partner openly, design with the end user’s experience in mind, and bring polished options and a recommendation when you raise a problem. A love for turning complex processes into simple, delightful experiences that let people focus on their best work. Helpful but not required: experience with Serval, Greenhouse, Slack or Google Workspace; building reports and dashboards; supporting implementations, upgrades or releases, including regression testing; or working in a fast-paced, all-remote or async-first tech environment. About the team The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes. Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility. Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation. Why This Role Is Important to Arcadia Customer Insights takes on the work that doesn't fit a one-size-fits-all product — custom data models, bespoke dashboards, registries, and long-running embedded programs — sitting between a platform and a plan.  This role is the first at Arcadia dedicated to Medicaid policy analysis, and it sits on one of our most visible accounts: a state Medicaid agency that is taking direct responsibility for a much larger fee-for-service population. A broader Arcadia team already serves the agency in a variety of ways — risk stratification, dashboards and reporting, quality measurement, and analytics on the state's Medicaid member and claims data — and that relationship is growing. You will work alongside that team and take the lead on the policy-driven analytic work: interpreting program rules and policy documents into analytic logic, and building the registries, data marts, and dashboards that put it to use.  That takes a rare combination: policy fluency to tell a customer what the data can and cannot support, customer presence to be trusted in the room with state program staff and partners, and the technical skill to build the deliverables yourself. We are looking for someone who can ramp on all three quickly. Just as important, this work moves at a pace that is only possible with AI-assisted development: you will be expected to pick up our AI coding and analysis tools quickly and use them heavily from your first weeks, with careful human review.  What Success Looks Like In 3 months Get productive quickly with the team's AI-assisted workflow — using AI coding and analysis tools to ramp into the state program's eligibility, claims, and provider data, the program rules and policy context behind it, and the analytic logic and deliverables already in production Join customer and partner working sessions and begin contributing in the room — answering, in real time, what a proposed definition, threshold, or policy change does to the data and the member population Independently deliver your first piece of work end to end — a stratification or registry refinement, a data mart component, or a dashboard — with your own policy interpretation and QA behind it In 6 months What You'll Be Doing Medicaid policy analysis Interpret state and federal Medicaid program rules, eligibility and aid-code structures, benefit and coverage design, and program guidance — translating them into precise, testable analytic logic (cohort definitions, code sets, exclusions, stratification criteria) and documenting the interpretation so decisions are auditable Advise senior customer leadership on what the data can and cannot support — whether a proposed definition is measurable, what the volumes look like, what a threshold does to caseload, cost, or provider capacity — and anticipate how policy changes (fee-for-service transitions, waivers, provider network rules) affect the data and the questions ahead Technical analytical delivery Turn ambiguous policy and operational questions into member and provider data marts, cohort and stratification logic, and registry extracts — in SQL (and Python where needed) on Foundry and Redshift/Athena Deliver them in the format the customer needs — dashboards, recurring reports, Excel, and leadership decks Root-cause data-quality issues — reconcile counts across sources, trace bad fields to the source, and agree definitions for undocumented fields and codes with the customer's data staff Customer presence and engagement Serve as the senior analytic voice for state program leadership, policy and data staff, prime contractors, and vendor partners — participating in recurring working sessions and translating between policy, operational, and technical audiences Set priorities, scope, and timelines with Customer Management, and hold real authority to push back on what is and isn't feasible or worth building Create client-facing materials — leadership summaries, detailed methodology decks, decision memos, technical explainers — tailored to audiences from highly technical data counterparts to policy and executive stakeholders What You'll Need To Have Working knowledge of how health programs and managed care plans work, and the ability to turn policy documents and program rules into analytic logic. Direct Medicaid or managed care plan experience is a plus Clinical code and claims fluency — ICD-10, CPT/HCPCS, and revenue codes to build clinical cohorts; claims, eligibility, and provider/NPI data (NPPES, enrollment files); and judgment about claims timing and completeness Hands-on, demonstrable fluency with AI coding and analysis tools (Claude Code, Cursor, or similar) as the core of how you work. Picking these tools up quickly and using them heavily is central to how you will onboard and how much you can deliver in this role. Be ready to show us what you have built with AI assistance, how fast you turn work around, and how you review and validate it Advanced SQL (CTEs, window functions, performance on large claims and eligibility tables) and data modeling, to a real engineering standard Hands-on experience building dashboards and reports in a BI tool (QuickSight, Power BI, Tableau) and Excel, plus executive-ready decks Direct customer-facing experience with senior stakeholders — comfortable scoping ambiguous requests, navigating competing priorities, and exercising sound analytical judgment about what to build and what the data can support, on short timelines and without close oversight A track record of leading an analytic program end to end for senior customer or executive audiences — setting your own priorities, and operating without a project manager or close direction Sound judgment with sensitive data and PHI What “Principal” means here This is the most senior analytic role on the Customer Insights team. It is expected that you can: Set your own priorities and make the call with incomplete information Act as the senior analytic voice with agency and partner leadership Raise the bar for the analysts around you — through standards, review, and example Don't need a project manager or close direction We are hiring for the combination of policy fluency, customer presence, and technical skill — we understand candidates may be strongest in one or two of these areas and will build the rest quickly, and speed of ramp matters more to us than any one credential. Tell us where you are strongest and how you have ramped before. Would Love For You To Have Direct experience with a state Medicaid agency, a Medicaid-serving prime contractor or consultancy, or a Medicaid managed care plan — California Medi-Cal experience is a real plus Familiarity with population health concepts: risk stratification, registries, care management, network adequacy, and access and equity analysis Experience with Python and dbt; familiarity with the AWS ecosystem and its analytics tools (e.g., Athena, Redshift, QuickSight); comfort with orchestration tooling, Jira, Confluence, and GitHub-based workflows Experience mentoring less experienced analysts Note: this list spans skills relevant to several facets of the role — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive Compensation, Amazing Benefits including Unlimited FTO The opportunity to: Be the senior analytic and policy voice on a high-visibility state Medicaid program serving millions of members, at a pivotal moment for the program Build the practice — the methodology standards, playbooks, and data assets a growing team will inherit — on problems where analytic choices directly shape which members get reached and how care is delivered and funded About Arcadia  Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, verify it by calling us directly at (781) 202-3600 and selecting option 3. You can find more information at Arcadia Careers. In this role, you are responsible for following all security policies and procedures to protect all PHI under Arcadia's custodianship, as well as Arcadia intellectual property. For security-specific roles, the hiring manager defines any additional responsibilities. Arcadia does not discriminate based on race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding.

Задачи: — Управление данными готовности поставщиков — Создание отчетности для запуска проектов Требования: — Навыки работы с SQL, Excel, Power Query, Power BI, Tableau, Python — Опыт работы с ERP-системами, в частности NetSuite Условия: — Стажировка с оплатой от $72,800 до $83,200 в год

Проект: «Ведомость договорной цены» Основная задача - реализация функционала в рамках проекта. Что важно: — опыт работы с 1С ДО — уверенное знание 1С ERP — знание блока УСО в ERP — опыт работы с БИТ.ФИНАНС — навыки описания интеграций с 1С-системами — навыки описания интеграций с внешними, не 1С-системами Ищем специалиста уровня Senior, который сможет быстро подключиться к проекту и работать самостоятельно.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Benefits Analyst on GitLab's Total Rewards team, you'll support global benefits administration and take ownership of day-to-day benefits operations in India, partnering closely with a Senior Benefits Analyst. Your initial priorities will include planning benefits events at the Bangalore hub, streamlining enrollment and benefits onboarding , handling tier 1 benefit questions and escalations, taking over and improving administrative and audit processes, along with routine benefits tasks.You'll build depth in global benefits and manage assigned work with increasing independence, seeking guidance on prioritization, new assignments, and higher-risk issues. This role reports to the Manager, Global Benefits and focuses on benefits programs, not leave administration. You'll need to be based in Bangalore, with periodic office presence for hosting and managing benefits events, and flexibility to collaborate across time zones, including Pacific time. What You’ll Do Support day-to-day administration for assigned benefits programs, including eligibility, enrollment, benefits onboarding, billing, reporting, audits, quality assurance, documentation, and issue resolution, with a particular focus on India. Review benefits and team-member data from multiple sources, research discrepancies and root causes, and recommend next steps for manager or senior team-member review. Work with brokers and vendors on day-to-day benefits operations, and support the Senior Benefits Analyst with renewals, plan changes, implementations, testing, launches, and post-launch improvements. Benefits plan decisions remain with the Senior Benefits Analyst. Plan, host, and manage benefits events at the Bangalore hub, and coordinate assigned benefits activities across selected countries and employment arrangements. Apply documented processes and escalate questions that require deeper local or technical expertise. Partner with Payroll, Finance, People Operations, and People Technology on accurate reporting, billing reconciliation, eligibility data, and compliance-related processes. Support People Operations in resolving team-member benefits inquiries, explain moderately complex benefits topics in accessible language, and escalate cases appropriately. Analyze benefits utilization, cost, survey, and qualitative data to identify trends and prepare summaries, insights, and recommendations that support team priorities. Maintain accurate documentation, process guides, trackers, and communications; support the transition of administrative processes and recommend ways to simplify, standardize, or automate them, including responsible use of artificial intelligence tools. Protect accuracy and team-member experience, communicate progress and risks, and seek guidance on prioritizing improvements. What You’ll Bring Experience supporting benefits administration, including enrollment, reporting, and audits, and working with benefits brokers or vendors. Experience supporting benefits in more than one country is required; global technology company experience is preferred. Strategic benefits plan design experience isn't required. Working knowledge of core benefits concepts, such as medical, dental, vision, life, disability, and supplemental benefits. Experience using a human resources information system (HRIS), benefits administration platform, or similar operational tools, with attention to detail in data entry, testing, reconciliation, and quality assurance. Workday experience is preferred. Intermediate or stronger Excel or Google Sheets skills, including VLOOKUPs, filters, pivot tables, and data analysis; macros aren't required. Ability to evaluate multiple sources, identify patterns or discrepancies, and develop evidence-based recommendations with appropriate guidance. Clear written and verbal communication skills, including the ability to explain benefits topics in accessible language and collaborate across functions. Ability to manage assigned work, meet deadlines, communicate when blocked, and distinguish urgent work from work that can be sequenced. A collaborative, learning-oriented approach, willingness to apply feedback, and curiosity about using artificial intelligence tools responsibly to improve benefits work and team processes. Ability to be based in Bangalore and go to our Bangalore hub to host and manage benefits events, with flexibility for collaboration across time zones, including Pacific time. About the team The Benefits team within Total Rewards supports global benefits programs, working with Payroll, Finance, People Operations, People Technology, Legal, People Business Partners, brokers, and vendors. You'll work closely with the Senior Benefits Analyst and colleagues in India, Europe, the Middle East, Africa, and Pacific time zones to support India's growing benefits needs. The team's tools include Workday, Google Workspace, Slack, and Claude. The role emphasizes accurate administration, team-member support, and practical process improvements, with opportunities to build deeper benefits expertise. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Анализ данных и мониторинг показателей рисков — Разработка и валидация моделей машинного и глубокого обучения — Подготовка витрин данных и Feature Engineering — Разработка аналитических решений для улучшения кредитных стратегий — Применение искусственного интеллекта для минимизации рисков и автоматизации процессов Требования: — Опыт моделирования и анализа данных по розничным кредитным рискам — Владение Python и MLOps — Высокий уровень владения PL/SQL — Опыт разработки витрин данных для моделирования