Вакансии

Location: Москва Наша команда развивает пользовательские сценарии и персонализацию предложений в Диалоговых каналах банка. Наша цель — объединение канальных сценариев взаимодействия с клиентом в единый омниканальный процесс, создание решений, которые помогут клиенту закрыть его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * анализировать данные по клиентам и кампаниям * проводить исследование новых источников данных для улучшения качества персонализации предложений * участвовать в разработке стратегии развития продукта, определять приоритетные направлений для исследований * готовить Ad-Hoc отчеты, консультировать смежные команды * унифицировать, автоматизировать и развивать аналитические процессы команды. Требования * опыт работы в качестве DA/BA от 2 лет * Уверенное знание SQL (оконные функции, умение читать план запроса и т.д.) * опыт использования Python для аналитики (библиотеки - pandas/ numpy/ matplotlib/ seaborn) * умение презентовать результаты своих исследований и объяснять сложные вещи простыми словами * умение проектировать эксперименты и интерпретировать результаты; * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * навыки анализа большого массива данных. **Преимуществом будет:** * опыт работы в BI инструментами (Tableau, Qlik и др.) * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * аналитическое мышление и умение систематизировать информацию; * проактивность и самостоятельность в решении задач * умение работать со смежными командами, отстаивать интересы по своим задачам и место в бэклоге, контролировать выполнение поставленных задач * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Кутузовский проспект 32 к 1 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Responsibilities Macro Market Analysis & Expansion Strategy Leverage third-party healthcare data platforms and analytical tools (e.g., claims data, census/demographic data, payer landscape analysis) to conduct macro-level market evaluations. Synthesize complex market trends to inform the corporate roadmap and establish data-driven strategic rationales for future geographic expansion and payer contracting priorities. Evaluate payer density, reimbursement models, and local healthcare regulations to identify high-value market entry opportunities. Playbook Customization & Tactical Prioritization Develop and customize market-specific activation playbooks with directional prioritization of target provider groups, health systems, and specialty service lines. Conduct strategic profiling and market-level competitive analysis to pinpoint high-potential clinical partners and network integration opportunities. Partner with cross-functional commercial, clinical operations, and business development teams to tailor market go-to-market strategies based on local competitive dynamics. Funnel Modeling & Target Setting Refine, maintain, and own the market activation Top-of-Funnel (TOFU) and Care Starts quantitative models that drive company-wide target-setting. Track key performance indicators (KPIs) across activation stages—from initial market entry and provider outreach through to patient onboarding and active care starts. Iterate forecast models using empirical performance data to optimize lead generation, funnel efficiency, and revenue predictability per market. Qualifications Experience: 3+ years of experience in healthcare analytics, management consulting, corporate strategy, business operations, or market intelligence within a digital health, health plan, health system, or high-growth healthtech organization. Data & Analytical Skills: Advanced quantitative and analytical skills (Excel, Google Sheets, SQL, or BI tools like Tableau/Looker) with proven experience structuring and manipulating large third-party datasets (e.g., IQVIA, Definitely Health, CMS/claims data). Strategic & Funnel Modeling: Direct experience building and maintaining conversion, pipeline, or top-of-funnel operational models (e.g., lead-to-care start funnels). Industry Knowledge: Deep understanding of US healthcare delivery models, health plan reimbursement structures, health system operations, and provider profiling. Communication: Strong narrative synthesis and slide-building abilities to translate dense market data into clear, actionable executive playbooks. Education: Bachelor’s degree in Healthcare Administration, Business, Economics, Statistics, or a related quantitative field. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Market Activation Analyst, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $106,000 to $146,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.   Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: Limassol, Cyprus; Latvia; Estonia; Lithuania Credit analysis of the company’s counterparties - financial institutions (corporate and investments banks, brokers/dealers, exchange & clearing houses and central security depositories, etc); Confirmation and keeping up to date of internal ratings assigned to financial institutions; Setting limits for operations with financial institutions; Annual review of counterparties and renewal of limits; Participation in deals structuring with financial institutions for the purpose of risk mitigation; Experience designing and maintaining risk management frameworks, risk appetite statements, capital and liquidity assessments and risk registers; Perform and document a formal Business Impact Analysis to identify and justify Recovery Time Objectives and Recovery Point Objectives based on operational, financial, regulatory, and reputational impact criteria (DORA requirements); In-depth knowledge of EU regulation, monitor industry and regulatory developments and keep update of new regulations, and ensure processes are in place; Ability to translate regulatory requirements into practical controls, policies, and monitoring across asset custody, settlement, and safeguarding of client funds. Requirements Degree holder in Finance, Risk Management, Business or any other relevant field; At least 3 years of experience in working within a regulated investment firm or CIF company; Experience in Risk Management and Credit analysis of financial institutions; Fluent in English, both oral and written; Knowledge of risk management tools and techniques; Ability to complete projects and reports on time; Able to work independently and as part of the team; Analytical skills, diligent team player; CySEC Advanced certificate holder (Nice-to-have).

Location: São Paulo, Brazil New opportunities in Brazil! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior System Analyst to join our team and work on a complex fintech project for a leading global financial services infrastructure provider. You'll contribute to the development and enhancement of a flexible asset tokenization platform with robust smart contract capabilities. You’ll work at the intersection of business analysis and system analysis, collaborating closely with business stakeholders, software engineers, and data engineering teams to understand requirements and define effective solutions. 🟩 What's in it for you: Work on a complex project for a renowned regtech and fintech company developing blockchain-based infrastructure for financial institutions Gain hands-on experience working with data and modern data architecture Deepen your expertise in both business and system analysis while sharing knowledge and developing new skills within Dev.Pro’s BAO community ✅ Is that you? 5+ years of experience in a Business Analyst role Strong technical background with solid experience in system analysis Experience working closely with data engineering teams Understanding of data architecture concepts, including data lakes and data warehouses Hands-on experience writing SQL queries for data analysis and investigation Experience analyzing, documenting, managing, and prioritizing business and system requirements Strong understanding of Business Analysis practices, SDLC, and Agile methodologies Strong analytical and problem-solving skills High level of autonomy and proactivity Strong communication and collaboration skills, with the ability to effectively manage challenging stakeholder relationships Upper-Intermediate+ English level Desirable: Experience in fintech or financial services Experience with blockchain projects Experience working in international, distributed teams 🧩 Key responsibilities and your contribution In this role, you'll use your knowledge and skills to improve the efficiency and accuracy of the development process, enhancing the overall quality and effectiveness of the team’s blockchain projects. Set up and enhance the process of requirement gathering, analysis, and documentation, ensuring clear and standards-compliant project specifications Act as the main point of communication with product stakeholders, assisting in feature prioritization and managing requested changes Serve as a proxy product owner, representing stakeholders and ensuring seamless communication with the development team Facilitate Scrum events, ensuring their productivity for effective collaboration and promptly resolving/escalating blockers Create and maintain relevant project-related documentation, including visualizing developed solution workflows through diagrams Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Al Khobar, Saudi Arabia Overview The Master Data Quality Analyst is responsible for maintaining data accuracy, consistency, integrity, and compliance with established data quality standards. The role involves analyzing large datasets, identifying data discrepancies, supporting master data management and governance initiatives, and assisting in the maintenance of metadata repositories and business intelligence systems. The position also supports data quality reporting, dashboard maintenance, and the administration of BI tools to enable reliable, secure, and effective data-driven decision-making. Key Responsibilities Monitor and analyze enterprise datasets to identify data quality issues, inconsistencies, discrepancies, and potential root causes. Support the development and implementation of master data management processes, data governance policies, standards, and procedures. Assist in establishing and maintaining data quality guidelines, metadata repositories, and data cataloguing practices. Contribute to the development and enforcement of data policies, standards, and best practices to ensure data consistency and integrity. Identify data quality gaps and coordinate corrective actions with relevant stakeholders to improve the reliability of business intelligence reports. Support the development, operation, and maintenance of dashboards, reports, and business intelligence solutions. Assist in configuring and administering BI tools, software, and related technology components to ensure operational efficiency. Manage BI user accounts, access permissions, and configurations in accordance with organizational roles and information security requirements. Provide technical support for BI tools, troubleshoot system issues, and assist in performance optimization activities. Ensure compliance with applicable information security, data privacy, and data management controls. Collaborate with the Master Data Quality Manager and other stakeholders to enhance data management practices and support informed business decision-making. Requirements Bachelor’s degree in Information Technology or a related discipline from a recognized and accredited university. 5–7 years of experience in data quality, master data management, data governance, business intelligence, or a related field. Experience in IT, data solutions, networking, cybersecurity, or information management is preferred. Knowledge of data quality management principles, master data management processes, metadata management, and data governance practices. Familiarity with business intelligence tools, dashboards, reporting systems, and data analysis techniques. Understanding of information security, data privacy, and access control principles. Strong analytical, problem-solving, and attention-to-detail skills. Proficiency in written and spoken English. Preferred Certification Certified Data Privacy Solutions Engineer (CDPSE).

Location: Denver, CO, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: Fanatics Betting & Gaming (FBG) is hiring a Senior Analyst, Operations Automation to dig into the customer experience inside our AI agent conversations. Containment and resolution are the numbers you'll live in, and you'll work them at a level of detail nobody else here has time for: one case type, then one subtype, then the next one. In practice that means picking up a subtype with your manager, reading through a stack of real conversations, and working out what's actually going wrong. Sometimes customers get stuck in the same spot over and over. Sometimes a live agent clears the same contact in two minutes because they can check something the AI can't reach yet. Sometimes the AI is doing roughly the right thing badly: the tone is off, the knowledge article behind it is thin, or the prompt is pushing it down the wrong path. Finding the problem is half the job. The other half is making the case for the fix — what it's costing us now, what the fix is worth, and a story clear enough that a Product partner can act on it. You'll build that case and bring it into intake alongside your manager. We would rather hire someone solid at both halves than someone brilliant at one. This is a role where you learn the craft of AI customer experience with real ownership of the analysis from day one. You'll sit on the team that owns FBG's AI customer experience and work with Data, Quality, Product, and CX week to week. Responsibilities: Maintain and report the key metrics for our customer-facing AI agent — containment, resolution, deflection, escalation rate, repeat contact, and customer satisfaction at a case and subtype level. Be part of the team that stands up measurement for each new AI surface as it launches, so no surface goes live without a definition of success and the instrumentation to track it. Build and maintain the BI views and dashboards your team and Product partners use to read AI performance, and keep them accurate as products, policies, and promotions change. Write the data requirements — event definitions, tagging, table structures, and data quality checks — the metrics depend on, and partner with Data to get them built. Flag it early when a number stops being trustworthy. Knowing when your own data is wrong matters as much as reporting it. Find where customers get stuck Run deep dives at the case type and subtype level to find the stall points inside the AI interaction — where customers rephrase the same question, loop, go silent, abandon, or ask for a human, and what preceded it. Quantify each stall point so it can be ranked: how often it happens, which subtypes and markets it concentrates in, and what it costs in escalations, repeat contacts, and resolution loss. Pull together signals from more than one place — conversation data, interaction quality scores, customer and associate feedback, behavioral data, and operational metrics — into one view of what's actually driving the number. Distinguish issues worth fixing from noise, and be candid about which is which. Compare the AI to how live agents handle it Compare how live agents resolve a contact type to how the AI agent handles the same contacts, and identify what agents are doing that the AI cannot do yet — the lookups they run, the tools they touch, the actions they take. Write up each gap as a clear, specific finding: what the AI would need to close it, and the containment or resolution upside if it did. Pay attention to the escalation boundary. Where the AI hands off, look at whether it had to. Point to the right fix Sort root causes well enough to route them to the right owner and the right lever — grounding and knowledge content, prompt and instruction design, tone, tool access, handoff timing, or underlying policy ambiguity. Where the AI is already doing the right thing badly, describe the change specifically: what the grounding should say, where the tone misses, which instruction is producing the wrong behavior. Work with content, grounding, and engineering partners to get your finding specified tightly enough to be built and tested. Run recurring performance reviews on the case types you own, and keep a ranked, evidence-backed list of the opportunities in them. Build the story Turn a pile of conversations and queries into a clear, evidence-backed narrative — the pattern, the representative examples, the size of the problem, and the specific ask. Quantify the impact of a proposed fix — contacts avoided, resolution lift, handle time, cost, customer experience — with assumptions you can walk someone through. Package findings into business cases and recommendations a Product partner can act on without a translation layer, and bring them into intake with your manager. Follow what you handed off through to delivery, then measure whether it did what you said it would. Report back on what shipped, what moved, and what didn't, so the next prioritization conversation starts from evidence. Partner and communicate Work closely with Data, Product, Quality, and CX, and build the relationships that make your findings land. Translate your analysis into clear language for technical and non-technical audiences alike. Write up findings and recommendations clearly, and contribute to the leadership-facing materials your team produces. Share what you learn. Much of what you find will be new to the people around you, and writing it down so the team can use it is part of the work. Required Qualifications: 2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role. Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query. Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it. Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions. Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication. Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote. Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on. Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap. Clear written and verbal communication. You can write a one-pager someone reads once and understands. High intellectual curiosity and an AI-first approach to your own work. Preferred Experience: Experience analyzing conversational data from chatbots, voice systems, or agent-assist tools in production. Comfort with Snowflake, Databricks, or a comparable cloud data platform, and with dbt or similar transformation tooling. Python or R for analysis beyond what SQL handles cleanly. Background in customer experience, contact center, or support operations analytics — particularly anything that involved understanding how human agents actually resolve contacts. Hands-on experience writing or editing knowledge content, groundings, or prompts for an AI system. Experience in sports betting, gaming, fintech, payments, or another high-growth, regulated consumer industry. Experience partnering with ML or Data Science teams on evaluation frameworks, A/B testing, or experiment design. Familiarity with knowledge base architecture and how content quality drives AI answer quality. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $86,000 — $115,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы с аналогичным функционалом в Retail/FMCG в разрезе продаж, категорий — Приветствуется опыт работы в крупных компаниях производителях FMCG — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse — Умение формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Интерес к профессии, желание развиваться и решать сложные задачи Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Просьба указывать финансовые ожидания при отклике.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Location: 100 Montgomery Street, Suite 2000, San Francisco, CA 94104-4348; 1140 Avenue of the Americas 8th Floor, New York, NY 10036 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! JOB OVERVIEW: We're hiring an Actuary to build the pricing models behind our property insurance work, as well as working on casualty lines. You'll build, validate, and maintain actuarial and CAT models that tell us what property insurance should cost for our clients, and you'll turn that output into recommendations our brokers can use with risk managers and CFOs. Current Property experience is preferred but not required; however must have property pricing & modeling experience at some point in career. This is a hands-on modeling job. Most of your week will be spent in the data (policy info, exposures, loss runs) building and refining models that help brokers benchmark risk, sanity-check pricing, and advise clients heading into renewal. ACAS is preferred but not required. If you're a non-credentialed actuary with real property modeling chops, we want to talk to you. If you like building property pricing models and want to see your work change how clients buy insurance, this one is for you. LOCATION: Hybrid - open to 3 to 5 days a week in any of the following EPIC Office locations: New York City; San Francisco; Seattle. WHAT YOU’LL DO: • Build, validate, and maintain the actuarial and statistical models we use to price property risk, both CAT and non-CAT. • Work with a collaborative group of 10+ actuaries, geographically dispersed, with a core group located in NYC. • Use those models to produce indicated rates, layer pricing, limit adequacy reads, retention analysis, and TCOR views that feed real placement decisions. • Get hands-on with the data. That means cleaning up SOVs, loss runs, and policy schedules, and setting up workflows so the next analysis is faster than the last one. • Turn model output into something a client can read. Think slides, benchmarks, and short written narratives our brokers can put in front of a CFO without translating. • Sit with producers, property practice leaders, and clients to walk through the numbers, take the hard questions, and help shape program structure. • Pitch in on new business. Request for Proposals, prospect meetings, and any deliverable where the actuarial story matters. • Use AI to move faster and to push back on your own work. We expect you to lean on AI tools for the grunt work (data cleanup, first-pass code, drafting client narratives) and to stress-test your models with it: poke holes in assumptions, run sanity checks, and pressure-test results before they go out the door. • Keep your models documented and auditable so anyone on the team can pick them up. TOOLS YOU'LL USE: • Modeling & Simulation: @RISK, ModelRisk • CAT Platforms: Moody's RMS, Verisk AIR, Archipelago • Data & Programming: Excel, VBA, Python, R • Visualization & Mapping: Power BI, Tableau, ArcGIS • Market Intelligence: S&P Capital IQ • Presentations: PowerPoint • AI: Copilot, Claude You won't necessarily use all of these on day one. But if you've touched most of them, you'll ramp up fast. WHAT YOU’LL BRING: Credentials & Technical Skills • ACAS is preferred. If you're not credentialed, we'll still seriously consider you with at least 2 years of dedicated commercial insurance pricing or modeling work. • Real property modeling experience. You've worked on loss development, trend, frequency/severity, CAT load integration, and layer pricing, not just read about them. • Comfort with big, messy datasets. Strong Excel is table stakes. You also work in at least one of Python, R, or SQL. • You use AI in your day-to-day. Copilot, ChatGPT, Claude, whatever fits the job. You know where it saves you hours, and you know when not to trust it. • You can explain your work without jargon. If you can't get a broker or a client to follow the logic, the model doesn't matter. Experience & Education • 2+ years of actuarial work, with meaningful time spent on property pricing or modeling. • Bachelors in actuarial science, math, stats, or another quantitative field. • Brokerage, reinsurance, or carrier-side property pricing experience is a big plus. Bonus points if you've seen how actuarial work actually moves a placement. • Self-starter mindset. Our property analytics practice is growing fast, and we need people who want to help build it, not just slot into a process. Domain • You understand commercial property: how programs are structured, what a tower looks like, what TIV values actually represent, and the actuarial logic underneath it all. • You know the major CAT models (AIR, RMS) and how vendor output gets folded into pricing. Hands-on experience is great but not required. • You've seen benchmarking, limit adequacy work, and TCOR modeling used in real renewal conversations. • You're comfortable with complex programs: layered placements, quota shares, deductibles, self-insured retentions, and captives. • You can work across a lot of stakeholders at once: brokers, practice leaders, clients, and the technical team. COMPENSATION: The national average salary for this role is $150,000.00 - $200,000.00+ in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data. WHY EPIC: EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-AT1 #LI-Hybrid (3810)

Задачи: — управление соответствием AML (Anti-Money Laundering) — проведение комплексной проверки клиентов (customer due diligence) — мониторинг транзакций — подготовка регуляторной отчетности Требования и условия в тексте не указаны.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Ludowici, Georgia; Hinesville, Georgia Workplace: OnSite Board Certified Behavior Analyst (BCBA) – Ludowici, Georgia Company: Fox & Fern Behavioral Solutions, a Finni Health company Job Type: Part-Time & Full-Time options available Schedule: Monday through Friday, 9 am–5 pm with flexibility Location: In-person - Jesup, Ludowici, Hinesville, and Midway, Georgia (In-home) Pay: $70.00- $75.00 per hour   Are you passionate about helping individuals reach their full potential and making a meaningful impact? We are seeking a dedicated and compassionate Board Certified Behavior Analyst (BCBA) to join our growing team!   WHAT YOU’LL DO As a BCBA, you’ll play a vital role in delivering compassionate, evidence-based behavioral health services. Your responsibilities will include:   - Conducting assessments and diagnostic evaluations for children with autism and developmental disabilities - Developing and implementing individualized behavior intervention and treatment plans - Providing one-on-one therapy and family support - Supervising and mentoring BTs/RBTs to ensure consistent, high-quality care - Collaborating with interdisciplinary teams to create well-rounded care solutions - Maintaining accurate and confidential documentation (HIPAA-compliant) - Staying current with research and best practices in behavioral health   WHAT YOU BRING We’re looking for team members who are not only qualified but genuinely care.   - BCBA Certification - Master’s Degree in Applied Behavior Analysis or a related field - Experience working with children and individuals with autism or developmental disabilities - Strong clinical and interpersonal communication skills - Empathy, patience, and a commitment to client-centered care - Reliable transportation - Active CPR Certification (we'll help you obtain certification if needed) - Ability to pass a background check (required by funding sources) - Willingness and physical ability to work directly with children (e.g., lift up to 50 lbs, kneel, sit on the floor, etc.)   WHY JOIN US? We believe that when our team members thrive, our clients do too. Here’s how we support your growth and well-being:   - Competitive Pay: $70.00- $75.00 per hour - Career Growth: Performance-based raises, mentorship, and leadership opportunities - Ongoing Training: Access to CEUs and fieldwork supervision - Supportive Leadership: We prioritize clinician well-being and ethical, value-driven care   APPLY NOW! Ready to bring your clinical skills, creativity, and compassion to a team that values your growth? We’d love to meet you!   ➡️ Submit your application and let’s discuss how you can be part of something meaningful.   To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with final confirmation to start pending satisfactory screening results. #FinniHealthBCBA

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 Tavily (Acquired by 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. The role We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next. Your responsibilities will include: Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers. Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views. Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics. Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask. Build and maintain revenue and pipeline models that connect product usage and billing data. Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale. Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership. Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement. We expect you to have: 5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent. 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business. Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on. Strong SQL and comfort working with large, messy datasets across different sources. Hands-on experience using Python for data analysis and data modeling in a production environment. BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent. Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau). It will be an added bonus if you have: Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company. Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite). Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design. Statistical foundation for experimentation and causal inference. Experience with Airflow or similar orchestration tools. MBA or MSc in a quantitative field. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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.

Задачи: — management reporting: P&L, plan/fact, variance analysis; — бюджетирование и forecasting; — финансовое моделирование, cash flow и profitability; — анализ revenue / costs / KPI / unit economics; — консолидация данных по юрлицам, продуктам и направлениям; — разработка правил аллокации; — автоматизация сбора и обработки финансовых данных; — участие в развитии финансовых систем и ERP; — работа на стыке Finance и Treasury; — подготовка аналитики для COO, CEO и акционеров. Требования: — 5+ лет в FP&A / management reporting / financial control; — опыт в fintech / financial services; — опыт работы с несколькими юрлицами; — сильная бухгалтерская база: понимание trial balance, posting logic и financial reporting; — сильное финансовое моделирование; — Excel — advanced; — SQL, Power BI / BI-инструменты — желательно; — опыт работы с ERP (1С, Dynamics 365 Business Central или аналог); — английский — профессиональный, русский — желательно; — системность, самостоятельность и сильные аналитические навыки. Будет плюсом: digital assets, IFRS, регулируемая среда, ACCA / CIMA / CFA. Условия: — оплату в: EUR/ USD/ криптовалюта; — годовой бонус; — возможность работать в международной среде; — влияние на финансовую систему компании. Важно: Рассматриваются кандидаты, которые легально находятся/могут работать на Кипре: действующий work permit, Change of Employer или другое основание. Полностью удалённый формат из другой страны не рассматривается.

Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы в Pharma - must — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse (или другие колоночные БД) — Важно уметь формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Высшее образование — Гражданство и физическое местонахождение на территории РФ

Требования: — Опыт работы системным/бизнес-аналитиком от 5 лет — Опыт в сфере: банки/ финтех/ телеком/ интеграторы — Владение BPMN и UML, умение формализовать процессы и требования — Опыт описания интеграций и API: REST/SOAP, sequence diagram, XSD, JSON Schema О компании: стабильная финтех компания Узбекистана

Location: Kyiv, Ukraine Workplace: Hybrid [https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png] HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає: → My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші → My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу → My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу ___________________________________________________________________________ HOLYWATER TECH СЬОГОДНІ — ЦЕ: - понад 100+ млн завантажень застосунків - стратегічне партнерство з FOX Entertainment - х2 рази — щорічне зростання компанії за 2024-2025 роки - 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie - понад 100 млн годин переглянутого та прочитаного користувачами контенту - провідні позиції у своїх нішах на ринках США та Європи ___________________________________________________________________________ Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо Data Analyst, хто готовий/-а долучитися й творити його разом із нами. ТВОЯ МІСІЯ: Допомогти масштабувати альтернативні канали залучення користувачів — SMM, Organic та Affiliate Marketing — через якісну аналітику, дослідження та data-driven рішення. - Розвивати та вдосконалювати Marketing Mix Modeling (MMM), щоб оцінювати реальний внесок маркетингових каналів у бізнес-результати. - Стати аналітичним партнером для SMM, Organic та Affiliate Marketing команд: допомагати лідам ухвалювати рішення на основі даних. - Створювати аналітичні інструменти, дашборди та data-продукти для оцінки ефективності каналів і пошуку точок зростання. - Проводити глибокі дослідження поведінки користувачів, ефективності каналів залучення та їхнього впливу на конверсії й монетизацію. - Розробляти та перевіряти гіпотези щодо масштабування альтернативних каналів залучення. - Визначати ключові метрики, будувати систему моніторингу та знаходити можливості для оптимізації маркетингових інвестицій. - Самостійно формувати аналітичний беклог, пріоритезувати задачі та пропонувати рішення, які матимуть вимірюваний вплив на бізнес. ___________________________________________________________________________ ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД: - 2+ роки досвіду в Data Analytics, Product Analytics або Marketing Analytics. - Впевнене володіння SQL: складні запити, CTE, віконні функції, робота з великими обсягами даних. - Практичний досвід із Python для аналізу даних, автоматизації та статистичних досліджень. - Досвід роботи з BI-інструментами (Looker, Tableau, Power BI або аналогами). - Розуміння статистики, перевірки гіпотез, A/B-тестування та методів оцінки ефективності. - Досвід побудови аналітичних моделей, метрик, дашбордів та інструментів для бізнес-команд. - Розуміння маркетингових метрик, воронок залучення, конверсій та монетизації. - Уміння самостійно знаходити інсайти в даних, формулювати рекомендації та пояснювати результати нетехнічним стейкхолдерам. - Практичне використання AI-інструментів для прискорення аналізу даних, написання SQL/Python-коду та автоматизації рутинних задач. ___________________________________________________________________________ ЩО ОТРИМАЄШ ВІД НАС: - Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української. - Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там. - Техніку та сервіси. Все, що треба для роботи. - Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні. - Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я& ___________________________________________________________________________ ЧОМУ З НАМИ КЛАСНО? - Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті. - Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10. - Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу. - Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають. Можливо, це — твій шанс стати нашим наступним big name? ___________________________________________________________________________ ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ: Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/ Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594 Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/ Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається Хочеш творити історію разом із нами в HOLYWATER TECH? Відгукнися на вакансію!

Location: Colombia Internal Control makes sure that the way the company works is defined, followed and documented. The area works on two fronts. As second line of defense, it independently assesses whether controls across the company operate as designed, under the COSO 2013 framework and SFC standards. As process owner, it runs process management, normative documentation and corporate document management, which together hold the evidence of how the company operates. Challenges that await you: Bringing consistency to documents produced by different areas, each with its own format, coding and versioning habits, without disrupting the teams that use them every day. Applying archival discipline in a fully digital environment. Almost all of Plata’s documentation is electronic, so classification, retention and preservation have to work through repositories, metadata, permissions and integrity controls. Working against deadlines set by others. When the SFC, a court or an auditor requests information, the response time is fixed and the document has to be found in its correct version. Managing the line between keeping and deleting. Holding a document beyond its retention period creates exposure under data protection law, and deleting it early creates regulatory risk. You will manage that line series by series. Influencing without authority. Most of the documents you will govern are produced by Legal, Compliance, Risk, Product and Technology. Getting those teams to follow a classification and versioning discipline takes as much persuasion as technique. What makes you a great fit: Bachelor's degree in Ciencias de la Información, Bibliotecología, Archivística, Sistemas de Información y Documentación or a related programme. We will also consider a related degree combined with a certification or demonstrable experience building classification schemes and retention schedules. 1+ years of experience in document management, records management or institutional archives, including at least one instrument you built or substantially reworked yourself. Working knowledge of Colombian archival methodology, including Ley 594 de 2000 and Acuerdo 004 de 2019 of the Archivo General de la Nación, and the judgement to adapt it to a private entity supervised by the SFC, where retention periods come from financial, commercial and data protection law. Hands on experience with at least one electronic document or content management platform such as SharePoint, Google Workspace, Alfresco, M Files, OnBase, DocuWare, Athento or Confluence, including permissions, metadata and version control. Advanced Excel for inventories and retention schedules. Advanced English, B2 or higher. You will work with documentation, systems and counterparts in English on a regular basis. Ability to read a regulation and turn it into a rule that someone else can follow, written in clear Spanish. Valued: experience in regulated financial institutions, knowledge of ISO 15489 (records management) and ISO 30301 (records management systems), and experience supporting audits and regulatory inspections. Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions. Honest Feedback: valuing open, transparent communication. Supportive Team: a strong, collaborative community. Celebrating Achievements: recognizing our wins together. High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances.