2b:I[349676,["/_next/static/chunks/0cl6uehw0enw3.js","/_next/static/chunks/3_6526nire2s6.js","/_next/static/chunks/0sionvc70biiq.js","/_next/static/chunks/34vs1gv113pnw.js","/_next/static/chunks/3wpd2zkry5i8e.js","/_next/static/chunks/2xlitpxgknj4d.js","/_next/static/chunks/3d86yrwyuv975.js","/_next/static/chunks/3d68de5d26hqc.js","/_next/static/chunks/1karddyjodb23.js","/_next/static/chunks/0jra3p7uo4paw.js","/_next/static/chunks/0exuabbx335_3.js","/_next/static/chunks/3vho_labywtbi.js","/_next/static/chunks/3fetwqu_xkhdr.js","/_next/static/chunks/2tz46qsvdi4_s.js","/_next/static/chunks/0eownduo8if6q.js","/_next/static/chunks/0t6wdu82lwsb6.js","/_next/static/chunks/0pj1uxlo662q1.js","/_next/static/chunks/3-_4lshzcl0_b.js","/_next/static/chunks/38p_c_gswi2y7.js","/_next/static/chunks/02-o2ucepmr15.js","/_next/static/chunks/2nmrd6y_krigz.js","/_next/static/chunks/3uj2kj3yj9qja.js","/_next/static/chunks/1ki-susjhwxg5.js","/_next/static/chunks/2var-d5nnd5s-.js","/_next/static/chunks/1pg9b9s_o-pkl.js","/_next/static/chunks/3bznnjt--6equ.js","/_next/static/chunks/2ki1ec-w7jmw9.js"],"default"] 28:["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Главная\",\"item\":\"https://www.workaem.com\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Вакансии\",\"item\":\"https://www.workaem.com/jobs\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Вакансии аналитика данных\",\"item\":\"https://www.workaem.com/jobs/l/analitik-dannyh\"}]}"}}] 2c:T2811,About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. We bring together specialists across AI research, silicon design, software engineering and systems to solve complex problems and deliver meaningful impact. Job Summary Initially reporting to the Head of Data & Transformation, you will help business teams improve how they work and make decisions through process change, data analytics and AI-assisted and agentic workflows. Working closely with the Data Enablement Lead, you will independently lead complex, agreed initiatives from discovery and process mapping through requirements definition, hands-on analysis, prototyping, implementation and adoption. You will help teams find and use trusted data, embed analytics and agentic workflows into everyday activities, and achieve measurable improvements in business outcomes. The Team The Data & Transformation team brings together data capability and business transformation to improve how Graphcore operates and makes decisions. The team builds trusted data foundations, enables effective access to information and delivers cross-functional change to business processes, systems and ways of working. You will partner directly with business teams, the Data Enablement Lead, Analytics Engineers and Project Managers. The Data Enablement Lead owns the overall data enablement approach, opportunity pipeline and shared solution standards. You will own end-to-end delivery of agreed initiatives within those approaches and standards, contributing new opportunities and improvements through practical delivery experience. Responsibilities and Duties • Lead business discovery and identify opportunities. Facilitate workshops to understand business objectives, information needs, current ways of working and underlying problems. Identify recurring needs and bring evidence-based opportunities to the Data Enablement Lead, considering business value, feasibility, risk and potential for reuse across teams. • Map and improve processes. Document current-state and future-state processes, including activities, decisions, ownership, handovers, controls, systems and data flows. Identify opportunities to simplify workflows, reduce manual effort and improve the quality and timeliness of decisions. • Own requirements definition. Translate business needs into clear, prioritised requirements, business rules, user stories and acceptance criteria. Build agreement with stakeholders and maintain traceability between the original need, proposed changes, delivered functionality and intended outcomes. • Deliver hands-on analytics. Use SQL to explore organisational and warehouse data, test hypotheses, investigate discrepancies and identify patterns or causes of operational problems. Build and validate repeatable analyses, reports, dashboards and measures that support business decisions, communicating findings and data limitations clearly. • Enable agentic self-service data use. Work with the Data Enablement Lead and Analytics Engineers to translate business questions and process needs into practical self-service data experiences. Help users discover data, ask questions, interpret trusted metrics and act on results. Validate that analytical and agentic interactions use agreed business definitions and meet user needs. • Recommend practical solution approaches. Assess whether a need is best addressed through process changes, self-service analytics, existing tools, conventional automation or agentic workflows. Work with the Data Enablement Lead and technical colleagues to balance business value, usability, complexity, risk, implementation effort and ongoing support. • Design agentic workflows. Map how users, agents, systems and data should interact, using agreed solution patterns and access controls. Define business rules, proposed agent actions, human approval points, exception handling and fallback processes. Work with the Data Enablement Lead and technical colleagues on decisions affecting shared architecture or controls. • Prototype, evaluate and validate solutions. Use AI-assisted development tools to develop and iterate analytical and agentic workflow prototypes, reviewing generated code and outputs against agreed quality standards. Work with technical colleagues to test realistic business scenarios, outputs, actions and failure cases. Coordinate user acceptance testing and validate solutions against agreed requirements. • Use trusted data and appropriate controls. Partner with Analytics Engineers to define data requirements, clarify metric definitions and resolve data-quality issues. Apply agreed expectations for data access, sensitive information handling, documentation and traceability of automated actions. • Own delivery of agreed initiatives. Develop practical delivery plans, coordinate business and technical contributions, and manage scope, priorities, dependencies and risks. Make evidence-based decisions within your remit, working with your line manager and the Data Enablement Lead to resolve wider prioritisation or design decisions. • Support implementation and adoption. Help business teams introduce new processes and incorporate analytics and agentic workflows into daily activities. Clarify ownership, provide guidance and training, support operational handover and help users understand appropriate use, limitations and escalation routes. • Measure outcomes and improve reliability. Agree success measures and establish baselines with business stakeholders. Review adoption, analytical accuracy, workflow reliability and business outcomes after implementation. Use evidence and user feedback to improve solutions and address unintended results. • Strengthen shared capability. Contribute reusable analytical methods, process-mapping approaches, workflow patterns and testing practices. Provide constructive peer review, coaching and practical guidance to help colleagues and business users develop their skills and confidence. Candidate Profile Essential • Demonstrated experience combining hands-on data analysis with business process improvement, taking complex initiatives from problem definition through delivery, implementation and adoption. • Strong SQL skills, including the ability to explore analytical or warehouse data, investigate discrepancies, validate assumptions and assess data quality. • Strong business analysis skills, including stakeholder discovery, current-state and future-state process mapping, requirements definition, business rules and acceptance criteria. • Hands-on experience prototyping or evaluating AI-assisted or agentic workflows using business data, including testing outputs and actions, identifying failure cases and defining appropriate human oversight. • Experience using AI-assisted development tools for prototyping, analysis or technical problem-solving, with the ability to critically review generated code and outputs. • Experience using business intelligence or data visualisation tools to develop practical analyses, reports or dashboards, supported by clearly defined and reliable measures. • Strong analytical judgement and problem-solving skills, including the ability to identify underlying causes, evaluate solution options and recognise when a simpler approach is more appropriate. • Strong facilitation, communication and influencing skills, including the ability to lead workshops, explain complex concepts to non-technical audiences and build agreement without relying on formal authority. • Ability to independently plan and lead complex work, coordinate contributions across business and technical teams, manage competing priorities and make pragmatic delivery decisions. • Experience testing and validating solutions, documenting changes and supporting users through implementation and adoption, with an understanding of appropriate data access and sensitive information handling. Desirable • Experience implementing and supporting agentic workflows in production, including monitoring reliability, managing exceptions and supporting user adoption. • Experience using Python or comparable tools for repeatable analysis, workflow prototyping or lightweight automation. • Familiarity with APIs, curated datasets, semantic-layer concepts and analytics engineering practices. • Experience enabling self-service analytics or applying structured process improvement and change management methods. • Experience working in a technology, engineering or fast-moving product environment. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications2d:T8a3,О вакансии: Формат: full-time 5/2 Обязанности: - Участие в построении аналитических процессов. - Получение данных через API и создание удобных дашбордов. - Мониторинг эффективности рекламных кампаний. - Поиск точек роста и возможностей масштабирования продуктов. - Анализ LTV пользователей и факторов, которые на него влияют. - Глубокий анализ и оптимизация воронок продаж. - Поиск возможностей для увеличения выручки. Требования: - От 4 лет опыта на позиции Data Analyst / Marketing Data Analyst. - От 2 лет опыта в рекламной сфере. - Python или R, от 2 лет. - Уверенное знание SQL (BigQuery). - Опыт работы с API, ETL и Docker. - Знание облачных сервисов (Cloud Run, Workflows, Artifact Registry). - Опыт работы с Looker. - Опыт сбора данных из AppsFlyer, Adjust или Voluum. - Сильные аналитические навыки, самостоятельность и ответственность. - Умение понятно презентовать технические выводы нетехническим специалистам. Условия: - Удаленный формат взаимодействия. - График: с 10:00 до 19:00 по времени Кипра. - 20 дней отпуска и оплачиваемые больничные. - Зарплата - по договоренности, в зависимости от Вашего уровня и опыта. - Работаем по праздничному календарю Кипра. - Испытательный срок - 3 месяца. - В команде - сильные специалисты. Мы ценим инициативу, ответственность командную работу и стремление к росту.2e:Tdb4,

Привет!

Чем предстоит заниматься:

Формирование выгрузок с помощью SQL-запросов;
Взаимодействие с разработчиками БД по вопросам качества данных;
Анализ данных о поведении клиентов из информационных систем компании (БД, CRM, Hadoop) , сегментирование, выявление паттернов;
Взаимодействие и презентация результатов работы отделам продаж и смежным подразделениям;
Создание дашбордов с метриками;
Выявление проблем, построение простых моделей, поиск и выявление зависимостей для формирования гипотез об улучшениях бизнес-процессов и финансовых показателей компании;
Дизайн и интерпретация A/B тестов.

Что поможет попасть к нам в команду:

Продвинутый уровень SQL (виды джойнов, подзапросы, аналитические функции, оптимизация запросов, оконные функции);
Python (основные методы работы с данными, pandas);
Знание инструментов визуализации (FineBI, Tableau , PowerBI);
Знания в области A/B тестирования, подсчета стат. значимости экспериментов;
Умение видеть за цифрами причины и суть явлений и выделять главное.

Не обязательно, но является плюсом:

Опыт работы с PostgreSQL, Hadoop (Hive/Presto);
Опыт работы с sales подразделениями.

Мы хотим, чтобы каждый сотрудник был доволен своей работой, поэтому мы предлагаем:

Гибкий гибридный график;
Корпоративный ДМС c первого месяца работы (решаем вопросы со здоровьем быстро и удобно);
Активная корпоративная жизнь: регулярно проводим неформальные оффлайн-встречи, возможность командировок из другого города;
Кофе в кофемашинах, чай, печенье, фрукты на кухне;
Электронная корпоративная библиотека;
Возможность профессионального развития, обучение за счет компании, участие в конференциях;
Достойный уровень заработной платы;
Аккредитацию в Минцифры.

2f:T601,

Responsibilities:

Analyze sales operations and customer data flows to identify inefficiencies, risks, and opportunities for automation or control enhancement
Review and escalate suspicious activity in CRM or sales processes that may signal compliance risks
Extract and transform CRM data for reporting and investigation support
Provide timely ad-hoc reporting for business teams and management
Track and log ongoing investigations and compliance control checks
Stay updated on regulatory changes and incorporate updates into daily monitoring practices

Mandatory skills:

Bachelor’s or Master’s degree in Business, Data Science, Law, Compliance, or related fields
3+ years of experience in data analysis, compliance, audit or risk management
Advanced Excel and strong SQL skills.
Experience with data quality tools
Familiarity with data visualization tools (e.g., Power BI, Tableau).
Experience with CRM platforms
Strong interpersonal skills with the ability to collaborate across functions

Preferred:

Experience conducting internal investigations.
Understanding of software industry compliance landscape.
Previous experience in Sales Enablement or Revenue Operations.
Skills with python (numpy, pandas, statsmodels, scipy)

30:Ta4e,Задачи: • Разрабатывать отчёты в Superset от этапа идеи до готового решения • Собирать и формализовывать требования к отчётам и данным • Оптимизировать отчётность: аудит, унификация метрик, сокращение общего количества отчётов по всем направлениям • Развивать Data Governance. Выстраивать процессы сбора и хранения данных • Проектировать витрины данных и сложные ETL/ELT-процессы как совместно с командой DWH, так и самостоятельно в Airflow • Передавать знания по разработке отчётов другим аналитикам • Способствовать укреплению data-driven культуры Требования: • Умение собирать и уточнять требования, понимать бизнес-проблему заказчика и предлагать подходящее решение • Глубокое знание SQL: оконные функции, CTE, понимание плана выполнения запроса • Опыт в проектировании отчётов и подготовке данных для них • Понимание архитектуры хранилищ данных: что такое слои, зачем они нужны и как работают • Практический опыт работы с одним из BI-инструментов: Apache Superset, Tableau, Power BI, DataLens • Системное мышление, способность видеть за набором таблиц и графиков целостную картину бизнеса • Коммуникативные навыки: умение объяснить сложное техническими терминами инженерам и простым языком — бизнесу • Ориентация на результат Будет плюсом: • Знание JavaScript/CSS/HTML для кастомизации визуальных элементов • Опыт работы с Python для анализа данных (Pandas, NumPy) и автоматизации • Опыт использования ИИ для задач аналитики (например, для поиска аномалий или автоматизации процессов)31:T1020,Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Middle Data Analyst to join our team and provide exceptional customer support. Position Overview We are looking for a skilled Data Analyst to transform complex datasets into clear, actionable insights that support data-driven decision-making across the organization. This position combines statistical and quantitative analysis, data visualization, research, and stakeholder communication. The ideal candidate can identify meaningful trends, validate analytical results, and clearly explain findings to both technical and non-technical audiences. This is a full-time, long-term position with an immediate start. Responsibilities Data Analysis • Analyze large and complex datasets using statistical and quantitative methods. • Apply regression analysis, hypothesis testing, probability analysis, simulations, and time-series analysis to identify patterns and explain trends. • Validate analytical outputs, identify anomalies and outliers, and distinguish meaningful issues from normal variability. • Translate analytical findings into practical recommendations for customers and internal stakeholders. • Support business decisions with clear, evidence-based insights. Data Visualization and Reporting • Design and develop dashboards, reports, and visualizations that make complex information easy to understand. • Adapt reporting formats and levels of detail for different audiences, from executive summaries to detailed analytical reports. • Monitor dashboards and reports to ensure their accuracy as data sources, business rules, and system configurations change. • Present analytical findings clearly to technical and non-technical stakeholders. Research and Data Quality • Research relevant datasets, industry benchmarks, and external context to support customer questions and internal decision-making. • Assess data quality and investigate inconsistencies or unexpected results. • Use AI tools to accelerate research, summarize findings, prepare documentation, and support analytical and quality-assurance workflows. • Stay informed about relevant analytical tools, data sources, methodologies, and industry best practices. Requirements • Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field. • At least 3 years of professional experience in data analysis, business intelligence, or a related role. • Strong knowledge of statistics and quantitative analysis. • Advanced SQL skills and experience working with large datasets. • Strong proficiency with at least one data visualization platform, such as Power BI or Tableau. • Proficiency in Python, R, or another statistical programming language. • Experience creating dashboards, reports, and analytical presentations for different stakeholder groups. • Excellent written and verbal communication skills, with the ability to explain complex findings in clear, practical language. Preferred Qualifications • Master’s degree in a quantitative field. • Experience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud Platform. • Understanding of machine learning concepts and their practical applications. • Experience with A/B testing and experimental design. • Familiarity with data governance and data quality practices. • Experience using AI tools to improve research, analysis, documentation, or quality-assurance workflows. Technical Skills • Statistical analysis: regression, hypothesis testing, probability distributions, simulations, and time-series analysis • Programming and querying: Python, R, SQL • Python libraries: pandas, NumPy, scikit-learn • Data visualization: Power BI, Tableau, matplotlib, ggplot2, or similar tools • Data tools: advanced Excel, Jupyter Notebook, Git • Databases: SQL Server, PostgreSQL, MySQL, or comparable relational databases32:T238c,The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Be the first dedicated analyst behind n8n's go-to-market motion. Our commercial motion has two engines running at once: a self-serve product that thousands of developers adopt on their own, and an enterprise sales team closing the accounts that grow out of it. We've moved to usage-based pricing, migrated to Salesforce, and built a serious data foundation. What we don't have yet is someone whose entire job is making sense of the sales side of it. That's this role. You'll own the analytics behind pipeline, funnel conversion and GTM planning, and partner with RevOps on the forecast - sitting inside the data team, embedded with RevOps and Sales, and in the room when the plan gets made. YOUR MISSION: MAKE OUR SALES ORG MEASURABLY BETTER AT FORECASTING, PRIORITISING AND CONVERTING OWN PIPELINE ANALYTICS, SUPPORT FORECASTING - Build the models and views that tell us where pipeline actually stands - coverage, stage conversion, velocity, slippage. - Support RevOps on forecasting: supply the analysis and accuracy tracking behind it, and be the person leadership trusts to explain the number when it's uncomfortable. - Run win/loss analysis that goes past "price" and "timing" to something we can act on. CONNECT PRODUCT-LED GROWTH TO SALES - We have thousands of self-serve users and a sales team that can only talk to a fraction of them. Your job is to work out which fraction. - Build account and lead scoring on product usage and firmographic signal, with RevOps and the product/customer analysts. - Sharpen PQL and MQL definitions until reps trust what lands in their queue. SHAPE HOW WE PLAN - Model territories, quota and capacity for annual planning - and make the trade-offs visible. - Segment the base: which accounts, which motions, which segments actually pay back the effort. - Answer the questions that decide where the next euro of GTM spend goes. BUILD FOUNDATIONS PEOPLE TRUST - Partner with Analytics Engineering on Salesforce and product data models in dbt/BigQuery. - Standardise metric definitions so "win rate" means one thing across sales, marketing and finance. - Ship dashboards GTM managers genuinely run their week on - not decks that get opened once. BRING A POINT OF VIEW - Sit in pipeline reviews and planning as a peer, not a reporting function. - Push back constructively, including on the numbers people are attached to. - Turn analysis into crisp, written recommendations that move decisions. MUST-HAVES - Senior GTM analytics chops: 5+ years in sales, revenue or GTM analytics at B2B SaaS, with real ownership of the sales funnel. - Sales metrics fluency: pipeline coverage, stage conversion, velocity, win rate, ACV, quota attainment, ramp, ARR/NRR - you think in these natively. - CRM depth: experience with Salesforce (or equivalent) - its structure, its quirks, and the hygiene problems that quietly ruin analyses. - Forecasting experience: you've built or contributed to forecast models and know what makes them defensible - here you'll support RevOps on the build. - Technical toolkit: expert SQL; comfortable in a modern warehouse stack (BigQuery, dbt, Metabase/Hex or equivalent). - Planning experience: territory, quota or capacity modelling for a real sales org. - Business partner mindset: credible with sales leaders and reps, and able to tell a VP they're reading the data wrong. - Opinionated and high-agency: you spot what's worth analysing, you do it, and you arrive with a recommendation. - Communication that lands: memos and readouts that change what people do next. NICE-TO-HAVES - PLG experience, especially the self-serve to sales-assisted handoff. - Usage-based or credit-based pricing: you've analysed consumption revenue before. - Scoring and propensity models: lead or account scoring, statistical or ML-based. - Python for analysis: pandas, statsmodels, scikit-learn when SQL isn't enough. - Devtool, open-source or technical product experience. - Wider GTM stack: Gong, Clay, enrichment and intent data, marketing attribution. - dbt modelling: you can ship your own models rather than only file requests. WHY JOIN US? You'd be the first person here whose whole job is the sales data - which means you get to define the function rather than inherit someone else's version of it. The commercial problem is interesting: a product-led motion and an enterprise motion feeding each other, on usage-based pricing, in a category that's moving very fast. The foundations are already there. A real data team maintains the stack (BigQuery, dbt, Dagster, Metabase, Salesforce), so you spend your time on analysis rather than firefighting pipelines. And you'll work directly with GTM leadership in a company that values autonomy, directness and impact over process. Sound like a challenge you're ready to take on? Apply now - and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. * Country-specific details are provided in your contract.33:Tbb8,About the role: - Support Product, Marketing, and Operations stakeholders directly, turning their questions into data slices, trend analysis, and clear answers on short cycles - Work across the full reporting stack: SQL, Databricks data marts, Tableau dashboards, and Python automation - Split operational work with the Lead Analyst, you own the day-to-day requests, freeing them for strategic projects What you'll do: - Support Product, Marketing, and Operations stakeholders directly, turning their questions into data slices, trend analysis, and clear answers on short cycles - Work across the full reporting stack: SQL, Databricks data marts, Tableau dashboards, and Python automation - Split operational work with the Lead Analyst, you own the day-to-day requests, freeing them for strategic projects - Build and maintain Tableau dashboards and regular reports for key Auto/Moto metrics - Write SQL queries and build data marts in Databricks - Respond to ad-hoc stakeholder requests: data slices, trend analysis, and anomaly explanations - Develop the reporting system, standardize metrics, automate manual processes, and improve data reliability - Automate recurring reports using Python (pandas) - Collaborate with Product, Marketing, and Operations to clarify data needs and align on metrics and data structures What you'll own: - Build and maintain Tableau dashboards and regular reports for key Auto/Moto metrics - Write SQL queries and build data marts in Databricks - Respond to ad-hoc stakeholder requests: data slices, trend analysis, and anomaly explanations - Develop the reporting system, standardize metrics, automate manual processes, and improve data reliability - Automate recurring reports using Python (pandas) - Collaborate with Product, Marketing, and Operations to clarify data needs and align on metrics and data structures What makes you a strong fit: - 2+ years of experience in data analytics - Strong SQL skills - Tableau, able to build and maintain dashboards independently - Python (pandas) for report automation - Able to work independently and comfortable reaching across teams to gather context and align on requirements - Working English for stakeholder communication What we offer: - Ownership and flexibility - Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8) - Company-provided tools and equipment - Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in S34:Tc34,

Мы в Ламода ищем аналитика данных в Отдел анализа потерь. Вам предстоит работать с данными из разных источников, находить закономерности и аномалии, проверять гипотезы и помогать командам принимать обоснованные решения.

Помимо задач отдела, вы будете подключаться к аналитическим запросам всей Дирекции безопасности: участвовать в служебных расследованиях, создавать инструменты мониторинга и искать новые способы выявления и предотвращения потерь и рисков с помощью данных.

Чем предстоит заниматься:

Сбор и валидация данных из различных источников;
Структурирование информации;
Разработка инструментов визуализации данных;
Анализ данных, проверка гипотез, подготовка выводов;
Участие в проведении служебных расследований.

Мы ожидаем:

Законченное/незаконченное высшее техническое образование;
Опыт работы на позиции аналитика данных (не менее 3 лет);
Навыки написания запросов и проведения анализа информации с использованием SQL, Python;
Опыт создания сложных дашбордов в Datalens, Power Bl.

Будет плюсом:

Опыт работы в е-com, ритейле, банковской сфере.

Мы предлагаем:

ДМС со стоматологией и программой ментальной поддержки, чек-апом здоровья раз в год;
Компенсация отпуска до 100% оклада;
Забота о своих: до 15 дней больничного в год оплатим в размере 100% от текущего оклада, стационар оплачиваем без ограничений по сроку;
Программа привилегий и скидок от BestBenefits;
Performance Review дважды в год, чтобы развиваться системно;
Бесплатные юридические консультации;
Дополнительные выходные в случае важных событий;
Яркие мероприятия и много неформального общения.

35:T890,ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ:

прорабатывать гипотезы в рамках текущих проектов;
настраивать аналитические дашборды в таких инструментах, как Tableau;
станешь посредником между заказчиком и командой разработки, поможешь интерпретировать результаты исследований и гипотез; прорисовывать схемы процессов и CJM.

ЧТО МЫ ЖДЕМ ОТ КАНДИДАТА:

ты – в том числе студент или выпускник профильного направления;
знаешь основы Python, понимаешь, как работает SQL;
владеешь MS Excel на базовом уровне и хочешь осваивать дальше.
Будет плюсом, если тв умениешь анализировать большие объемы информации, сравнивать данные и строить на них свои решения, умеешь быстро переключаться между проектами.

Что мы предлагаем:

развитие в командах профессионалов и опытный наставник, готовый делиться опытом
мобильная связь за счет компании
подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети
специальные предложения от партнеров и скидки от продуктов экосистемы МТС
непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

36:T122b,At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft’s products and decision-making. As a member of the Lyft Urban Solutions team, you will play a key role in shaping the future of bikeshare by leveraging data to operational needs and city partners. In this role, you will collaborate closely with Operations, Science, and Finance teams to drive data-driven strategies that align our operations with city transportation goals. You will work in a fast-paced environment where analytical insights directly impact fleet management, operator performance, pricing, rider accessibility, and long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst Intern to tackle some of the most complex and impactful challenges in bikesharing. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: • Partner with Operations, Engineering, Data Science & Analytics, Product, Finance and other cross-functional stakeholders to manage and update key business logic • Develop frameworks and scalable processes to streamline reporting, drive decision-making and prioritization • Define the metrics used to measure the success of strategic initiatives and system health; build dashboards to monitor metrics performance over time • Work closely with cross-functional partners to deliver data quickly, reliably and accurately to our city partners • Monitor and diagnose KPI performance and present findings to senior leadership Experience: • Currently pursuing a Bachelors or Masters degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; with a graduation date between December 2027 and June 2028 (required) • Available during Summer 2027 for an internship in New York City • Proficient in SQL (required) and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions • Ability to translate unstructured business problems into clearly defined requirements with minimal oversight • Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems • Great communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question • Strong attention to detail, structured thinking and experiences developing processes to reduce human error Benefits: • Great medical, dental, and vision insurance options • Mental health benefits • In addition to holidays, interns receive 2 days paid time off and 3 days sick time off • 401(k) plan to help save for your future • Pre-tax commuter benefits • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the New York City area is $45-$47/hour USD, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.37:T20bb,About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role In the role of Lead Finance Data Analyst, you will report to the Vice President, Accounting Systems and Data Governance. We are considering applicants for our Los Angeles, California office. You will lead the analysis, governance, validation, and integration of finance data used across accounting, reporting, and finance systems. You will partner with Accounting, Finance, Technology, and business teams to define trusted data standards, strengthen SOX-relevant controls, resolve data quality issues, and support changes to financial systems and interfaces. The role combines hands-on data analysis with process and control leadership to help ensure finance data is accurate, complete, timely, traceable, and fit for downstream use. Success will be measured by improved data quality, effective control execution, and reliable delivery of finance data changes across the system landscape. Core Areas of Responsibility • Finance Data Governance: Establish and maintain finance data definitions, ownership, lineage, critical data elements, data quality rules, and governance standards across source systems, integrations, subledgers, ERP, and reporting environments. • Data Quality and Validation: Design and execute validation routines, reconciliations, exception monitoring, root-cause analysis, and remediation plans to improve the accuracy, completeness, cutoff, consistency, and traceability of finance data. • SOX Controls and Auditability: Partner with control owners to design, document, operate, and improve SOX controls over finance data, interfaces, system-generated reports, master data, and change activity; maintain evidence and support audit and testing requests. • System Integration and Change Delivery: Define finance data requirements and validation criteria for new or changed integrations, interfaces, transformations, and system implementations; coordinate user acceptance testing, cutover, defect resolution, and post-production validation. • Change Management and Stakeholder Partnership: Assess impacts of data and process changes, coordinate communications, training, and procedures, and lead cross-functional issue resolution to drive adoption while minimizing control, reporting, and operational disruption. About You We get excited about candidates, like you, because... • You have 8+ years of experience in finance data, accounting systems, financial systems analysis, data governance, or related roles, including ownership of complex cross-functional initiatives. • You have a strong understanding of accounting data flows and financial reporting requirements, including how transactions move from operational systems through integrations and subledgers into the general ledger and reporting environments. • You have hands-on experience with finance data governance, including data definitions, ownership, lineage, critical data elements, data quality controls, metadata, and issue remediation. • You have experience designing, executing, or supporting SOX controls over financial systems, interfaces, reports, master data, or data changes, and understand control documentation, evidence, and audit testing expectations. • You possess advanced data validation and reconciliation skills, including SQL-based analysis and structured testing of large financial datasets. • You have experience with system integration and data transformation concepts, including source-to-target mapping, interface controls, file- and API-based integrations, error handling, and downstream reconciliation. • You have led or materially supported system change initiatives, including requirements, user acceptance testing, cutover, post-implementation validation, process documentation, and change management. • You have experience with ERP and finance platforms such as NetSuite, SAP, Oracle, Coupa, Concur, or comparable systems. • You possess strong analytical judgment and can translate accounting, control, and reporting requirements into scalable data and system requirements. • You have a bachelor's degree in Accounting, Finance, Information Systems, Data Analytics, or a related field; CPA, CISA, or recognized data governance certifications are a plus. About the Team The Accounting Systems and Data Governance team connects accounting requirements, data standards, controls, and technology to support reliable, scalable financial operations. The team partners across Accounting, Finance, Technology, and business functions to strengthen finance data integrity and improve how financial information moves through Crunchyroll's systems. This role is a senior individual contributor and key point of coordination for finance data governance, validation, and change initiatives. Success is measured through trusted data, effective controls, and dependable system delivery. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: • Receive a great compensation package including salary plus performance bonus earning potential, paid annually. • Flexible time off policies allowing you to take the time you need to be your whole self. • Generous medical, dental, vision, STD, LTD, and life insurance • Health Saving Account HSA program • Health care and dependent care FSA • 401(k) plan, with employer match • Employer paid commuter benefit • Support program for new parents • Pet insurance and some of our offices are pet friendly! #LifeAtCrunchyroll ((select from the following job modalities for this role: #LI-Hybrid #LI-remote #LI-onsite)) The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll’s Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $127,400—$159,200 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value • Courage. We believe that when we overcome fear, we enable our best selves. • Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. • Kaizen. We have a growth mindset committed to constant forward progress. • Service. We serve our community with humility, enabling joy and belonging for others. Our commitment to diversity and inclusion Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business. We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation. Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: https://help.crunchyroll.com/hc/en-us/articles/360040471712-Crunchyroll-Hiring-FAQs Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights: https://tbcdn.talentbrew.com/company/22978/v1_0/docs/spe-jobs-privacy-policy-update-for-crpa-dec-21-22.pdf Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.38:T951,Международная продуктовая компания, которая занимается разработкой и поддержкой высоконагруженных проектов для крупных компаний, основная часть которых представляет собой развлекательные онлайн-сервисы, в поисках Data Analyst. Задачи • Анализ данных — статистика и логи веб-аналитики. • Дизайн и валидация A/B-экспериментов. • Анализ продуктовых изменений, промо-механик. • Создание дашбордов для регулярной аналитики и ад-хок задач. Какой опыт, знания и качества нужны • Стек БД: MySQL (или аналоги), ClickHouse (или аналоги). • Уверенное знание SQL (оконные функции, оптимизация запросов). • Анализ результатов A/B-тестирования. • Знание Python, включая библиотеки для анализа данных (NumPy/pandas/SciPy/statsmodels/scikit-learn и другие). • Опыт работы с BI-системами (Power BI или аналоги). • Понимание основных продуктовых метрик (LTV, ARPU, Retention и т. д.). • Умение качественно документировать результаты. Условия • Достойный уровень заработной платы (обсуждается индивидуально и зависит от профессионального уровня кандидата). • Опытный коллектив, возможность перенять ценный опыт. • Гибкое начало рабочего дня. • Формат работы: офисный или гибридный (3 дня в офисе, 2 — удалённо). • Оплачиваемые отпускные. • Минимум бюрократии. • Обучение за счёт компании. • 4 day-off в год за счёт компании. • Частичная компенсация английского языка.39:T1e1e,

Мы команда «Автоматика Сервис», часть ИТ-функции «Газпром нефти», специализирующаяся на проектировании, внедрении и комплексном обслуживании систем промышленной автоматизации всех уровней для предприятий нефтегазовой отрасли. За 20 лет существования «Автоматика Сервис» стала безусловным лидером по объему реализации профильных проектов на производственных объектах «Газпром нефти» и не только. Наша команда создает профессиональные продукты для тысячи сотрудников нефтегазовой промышленности: менеджеров, капитанов арктических танкеров, инженеров НПЗ и контрагентов по всему миру. Один из крупнейших флагманских проектов является «КАПИТАН»: система управления логистикой в Арктике

Нас вдохновляет идея развития цифрового будущего нефтегазовой отрасли и промышленности в целом, мы стремимся к большему, и нам нужен BI - аналитик для решения амбициозных задач!

Чем тебе предстоит заниматься:

Взаимодействовать с Заказчиками по вопросам реализации задач на платформе УПД (интеграции источников, создание витрин, реализация приложений, справочников, проверка DS гипотез): оценивать целесообразность бизнес требований, определять состав работ и бизнес-ценность.
Формировать технические требования командам разработки, синхронизироваться со смежными командами и системами.
Контролировать и повышать качество данных, обеспечивать наполнение и актуализацию каталога данных/confluence.
Формировать материалы по факту/планам работ на регулярной основе и презентовать стейкхолдерам.
Способствовать развитию data-driven культуры в подразделениях, закрепленных за направлением посредством повышения
информированности о сервисах аналитической платформы, прозрачных процессов жизненного цикла, своевременного решения бизнес-кейсов.

Требования:

Формирование/ананиз бизнес-требований на разрабоку приложений
BI (QlikView/QlikSense/PIX BI) - знание синтаксиса и функционала, умение стоить отчеты и дашборды
SQL - формирование и чтение запросов (продвинутый уровень)
Python как преимущество (можно освоить в процессе работы)
Работа с большими данными
Jira/Confluence - опыт работы с треккерами задач
Аналитический склад ума, умение делать выводы с учетом большого кол-ва вводных
Навыки коммуникации - интервьюирование заказчиков, работа с возражениями
Умение работать в режиме многозадачности, доводить задачи до конца.
Навыки планирования и тайм-менеджмента, проектного управления.
Внимание к деталям
Навыки презентации решений
Готовность бороться с барьерами (несовершенные процессы, бюрократия и т.д.)

Мы предлагаем:

Срочный трудовой договор с последующей пролонгацией;
Возможность быстрого роста для результативных специалистов;
Достойную твоего профессионального уровня заработную плату, годовую премию по результатам деятельности, дополнительную материальную мотивацию за особые достижения;
Бесплатное посещение спортивных секций;
Интенсивное обучение на практике, доступ к образовательному контенту на портале знаний корпоративного университета;
Подписку на лучшие электронные библиотеки с подборкой ИТ-литературы;
ДМС и страхование жизни.

В «Газпром нефти» ты можешь:

Участвовать в создании ИТ-сервисов нового уровня в топовой компании с распределенной географией офисов и промышленных объектов;
Присоединиться к нашей большой команде из 100+ профессионалов, где ценят вклад каждого сотрудника, взаимовыручку и высокие стандарты сервисной культуры;
Использовать самые современные технологии для решения задач «здесь и сейчас»;
Прокачать свои навыки коммуникации, будучи ключевой точкой взаимодействия между потребностями пользователей и смежными ИТ-подразделениями;
Вбирать в себя новые знания каждый день и решать нестандартные задачи;
Получать быструю обратную связь от руководителя и постоянно совершенствовать hard и soft skills;
епрерывно обмениваться опытом – есть возможность как стать наставником самому, так и перенять глубокий опыт у экспертов;
Увидеть все ИТ-направления в компании и развить широкий взгляд на ИТ-ландшафт, определяя себя в будущем.

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аналитика данных и работа со сводными таблицами;
формирование позиции по вопросу на основании аналитической информации;
участие в подготовке БТ к процессам;
гэп-анализ кейсов/процессов;
подготовка демонстрационных материалов для руководства.

Требования:

высшее образование (экономическое, математическое);
желателен опыт: в аналитике и работе с данными,понимание кредитного процесса в Банке, логики работы статистических и экспертных моделей,формирование бизнес-требований;
критическое мышление, работа в команде, ответственность;
знание специальных программ, продвинутый пользователь Excel, базовые навыки SQL, Python.

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