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#вакансия#DataEngineer#DataAnalyst Data Engineer / Data Analyst ✅Компания "Neoflex" создает ИТ-платформы для цифровой трансформации бизнеса; являемся аккредитованной IT компанией. Вилка зп: От 200.000 до 345.000 руб.; Локация: Гибрид/офис (Москва, Санкт-Петербург, Нижний Новгород, Воронеж, Пенза, Саратов, Самара, Краснодар) или полная удалёнка с территории РФ; Занятость: Полная 5/2; Условия: Оформление по ТК РФ; Вам предстоит: • Участие в проекте по разработке DWH в Greenplum по методологии Data Vault; • Взаимодействие с бизнес-подразделениями и ИТ-командами для определения потребностей использования данных хранилища, с целью развития модели хранилища; • Проектирование и описание модели данных детальных слоев корпоративного хранилища; • Разработка стандартов проектирования детальных слоев хранилища, загрузки, хранения и доступа к данным, контроль за соблюдением стандартов; • Анализ и декомпозиция задач в сложных проектах по развитию хранилища, оценка трудозатрат, сроков и рисков. Проработка концептов загрузки данных в хранилище; • Согласование алгоритмов и маппингов, подготовленных командами, обеспечивающими загрузку данных в хранилище; • Контроль целостности и консистентности модели, контроль качества функционала загрузки данных в хранилища. Участие в приемо-сдаточных испытаниях; • Анализ и выявление корневых причин возникновения ошибок, разработка концепций и мероприятий по их устранению; • Экспертная поддержка бизнес-пользователей, потребителей данных, аналитиков и разработчиков ИТ команд, обеспечивающих загрузку данных. Консультирование по ассортименту данных в хранилище и особенностям использования данных. Мы ожидаем что у Вас есть: • Уверенное знание SQL и опыт работы с СУБД (PostgreSQL, GreenPlum); • Опыт проектирования логических и физических моделей хранилищ данных (Data Vault) или участие в проектах по автоматизации отчетности на базе хранилища данных; • Знание архитектуры хранилища данных и методов моделирования данных; • Опыт работы с ETL - оркестратором (Airflow); • Знание основ банковского бухгалтерского учета (будет плюсом); • Опыт работы c гибкими проектными методологиями (agile, scrum, kanban). Мы предлагаем: • Работа в аккредитованной IT компании; • Официальное трудоустройство по ТК РФ; • Амбициозные задачи и проекты; • Неограниченные возможности профессионального и карьерного роста; • Работа в команде профессионалов и просто хороших людей, которые всегда готовы помочь и поддержать; • Подключение к программе ДМС (включает стоматологию, обследования, лечение заболеваний и т.д.); • Предоставление корпоративной техники; • Корпоративное обучение и развитие (портал обучения и развития с удаленным доступом 24/7; собственный Центр развития компетенций); • Оплата внешнего обучения и профильных курсов; • Насыщенная корпоративная жизнь: яркие корпоративы, праздники для детей сотрудников, спортивные мероприятия и т.д. Telegram @Liubov_Neoflex (Любовь)

#python#dataAnalyst#IBM 🤖 IBM Data Analyst Professional Certificate Description Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques. 📦Courses 1 Introduction to Data Analytics 2 Excel Basics for Data Analysis 3 Data Visualization and Dashboards with Excel and Cognos 4 Python for Data Science, AI & Development 5 Python Project for Data Science 6 Databases and SQL for Data Science with Python 7 Data Analysis with Python 8 Data Visualization with Python 9 IBM Data Analyst Capstone Project 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

#vacancy#remote#dataanalyst#productanalyst#вакансия#удалённо Position: Product Data Analyst Company: Borzo (same day delivery service) Salary Range: up to 5000$ (negotiable) Employment is available in Armenia, Russia and Portugal. Work format: full-time, remote from any country About company Borzo is one of the biggest and most technologically advanced players in the global same-day delivery market. We provide unparalleled convenience to businesses and people, all the while creating millions of self-managed courier jobs. We strive to make delivery easier and cheaper than getting out of a house or office. We operate in multiple countries with India as the top priority, and already deliver more than 1,500,000 parcels monthly. To remain on the forefront of this promising, often surprising yet already highly competitive market, each day we have to learn more about our users than we knew yesterday and than our peers understand now. We are looking to hire a full-time Product Analyst. In this role, you will conduct in-depth research to identify new growth opportunities, turn data into hypotheses, and help validate them. If you want to make a real impact on the product and the business, we encourage you to apply for this position and help shape the future of same-day delivery. Key Responsibilities and Expected Outcomes - Facilitate data-informed decision-making across product and business teams; - Proactively identify and suggest growth areas; - Generate hypotheses and test them using data - Design experiments and interpret the results to draw detailed and actionable conclusions. What You Will Need - 3+ years’ experience as a Product Analyst, Data Analyst, or in a similar data-focused role; - Ability to see real-world meaning behind numbers and identify root causes; - Ability to structure information and explain it clearly; - Ability to reasonably and clearly defend your point of view and listen to others; - Strong statistical literacy and data interpretation (critical thinking, recognizing biases/limits, assessing data-source reliability); - Proficiency in data visualization (effective visualization for different audiences and contexts); - Continuous learning mindset; adaptability to new methods and tools; - English at B2 level or higher. Employee benefits - Opportunity to make direct impact on product and company growth; - No bureaucracy—direct communication with all stakeholders; - Flexible schedule: work at your convenience. No overtime; - Industry leaders in the company’s management; - Competitive income with social benefits and medical insurance from day one; - All necessary work equipment provided. tg: @rom4lk

🤓How to Prepare for a Data Analyst Interview? For example, take a mock interview or at least watch one. A mock interview is a practice interview that closely mimics a real one. In a mock interview, an experienced data analyst tests a less experienced person's knowledge and skills. Benefits of a Mock Interview: ⚡️ Feedback and Evaluation: It's hard to get this in a real interview. ⚡️ Understanding Weaknesses: You'll know what areas you need to improve. ⚡️ Increased Confidence: You'll feel more prepared for the real interview. 👉 Find a Mentor It's best to do a mock interview with an experienced mentor. To find a mentor you can try platforms like Preplaced, interviewing.io, mentorcruise.com 👉 Watch Mock Interviews Online for free If you can't find a mentor, there are many mock interview videos online. These can give you a good understanding of the process and questions and help you avoid mistakes. Examples: - Mock Interview & Feedback: Data Analyst - Analyze a User's Posts - Data Analyst SQL Mock Interview - SQL Mock Interview (Data Analyst): Departments with the Highest Revenues 👉 Practice with Google for free Google offers Interview Warmup. You can practice answering questions and get quick feedback on your answers. This helps you get better and feel more confident for real interviews. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you have a premium Telegram account, please give a free boost to my channel: https://t.me/boost/thinkbroadly.

📉Free Data Analysis Course with Certificate Recently, I noticed freeCodeCamp.org has a course called "Data Analysis with Python". This course teaches Python specifically for data analysis. 🔥The course covers the entire data analysis process, explaining how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn. 🔥In the practical part, you get 5 projects to work on independently, with all the necessary information and examples provided. The projects include demographic data analysis, medical data visualization, sea level predictor, deviation calculator, and time series visualization. 🔥You can get a certificate for free upon completion. freeCodeCamp.org also has other free courses with certificates to further expand your knowledge: - Algebra with Python (which gives a deeper understanding of math and data science) - Machine Learning (which is useful for data analysts since many companies now require machine learning skills). #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you like this type of content, hit 🔥.

👨‍💻5 Platforms to Get Your First Experience as a Data Analyst What is IT volunteering? It's about helping non-profit organizations that can't afford to hire IT specialists for tasks like data analysis, programming, and marketing. Usually, this work is project-based rather than a permanent job. Benefits: 1. Gain experience and add to your portfolio 2. Get recommendations for your resume 3. Help others at the same time Here is the list of platforms where you can volunteer your data analytics skills: Сatchafire Datakind Statisticswithoutborders Vizforsocialgood Technologyvolunteers If you can't find the right tasks on websites, you can take the initiative and offer your skills directly to a non-profit organization you know. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If you find this content useful, give it a🔥!

🔥Free Data Job Simulation Programs with Certificate I completed one of the simulators to recommend it to you. These simulators are suitable for those who want to practice on real tasks and understand what a data analyst does at leading companies. - Online simulators imitate a workday at top companies - No prior knowledge is required – the necessary information is provided for task completion - In the end, you receive a certificate and the opportunity to connect with recruiters Register ➡️ Receive video instructions from real employees ➡️ Complete the task ➡️ Compare your work with the company’s example ➡️ Upload your resume ➡️ Receive a certificate and the opportunity to connect with recruiters. 😎Simulators: 1. Data Analytics & Visualization at Accenture (a leading consulting firm from the Fortune Global 500 list) 2. Power BI at PwC (a consulting firm from the "Big Four") 3. Data Analytics at Quantium (a company specializing in data science and AI) 4. Data Visualisation: Empowering Business with Effective Insights at Tata (a multinational conglomerate operating in 150 countries) All data-related simulators are here. Simulators for other skills (marketing, project management, consulting, etc.) are here. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst If this was helpful, subscribe for even more insights🔥

SimilarWeb can significantly overstate website visit statistics, so: 1. Don't fully trust when someone shows you statistics from SW 2. Don't use SW for the analysis of your website; use Google Analytics. GA collects more accurate data. Similarweb collects data from available sources and makes estimates and predictions using machine learning. Anyway, it's a good tool for competitor analytics. A visit can be roughly equated to a session start in Google Analytics. #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst

3 Trends in Data Analytics: From 2023 to 2024 Hello, friends! I hope you're well-rested and ready to work? Today, let's talk about what made 2023 memorable and what will continue to gain momentum in 2024. #1 Artificial Intelligence in Analytics The combination of "Analytics + AI" seems to be with us forever now. 🔸 PowerBI, Tableau, and others have implemented AI 🔸 ChatGPT released Data Analyst 🔸 Numerous startups with analytics and AI #2 Self-Service Analytics and "Data Democratization" People without a technical background and without the help of an analyst can now: 🔸 Access data quickly (using natural language database queries) 🔸 Perform simple analysis in seconds All this is thanks to AI and intuitive interfaces. Despite the disappointment with AI in 2023 and the realization of its limitations, ignoring this trend would be a mistake. Gartner predicts that by 2024, 75% of organizations will use AI for analytics. #3 Embedded Analytics Analytics is being integrated into various applications and processes, improving decision-making and allowing users to independently find and solve problems, as well as find ways to improve. Examples: 🔸 Kodak has embedded analytics in its software for printing machines, allowing for tracking of ink usage efficiency 🔸 Shopify offers analytics tools on its dashboard for merchants to track sales, customer behavior, and other key business metrics. In conclusion, all these processes will not replace an analyst. They are just a powerful tool for in-depth work and reducing manual labor. Wishing everyone successful analysis in 2024! #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst

#вакансия#удаленно#системныйаналитик#vacancy#hiring#dataanalyst 💼Position: Data Analyst 🎯Company: Payment Processing field 📆Job Type: Full-Time, Remote 🌎Language: Russian&English B1 🧑‍🎓Experience in Payment Processing field: 2years+ 💵Salary: from 2 000 to 2 500 € net ✉️Send Your CV TG @OksiKem *ЕСТЬ ТЕСТОВОЕ ЗАДАНИЕ About the job Our client is an international company specialized in the e-commerce and payments industry, working together with all stakeholders, including banks, financial institutes, and international payment organizations is looking for Analyst. We are looking for a skilled Analyst to lead our payment conversion optimization efforts. The primary objective is to establish and enhance a continuous conversion improvement process. Are you experienced in Analytics and looking for a challenging role in a fast-paced and constantly changing Fintech environment? Perfect – then you should join our dream team! We offer: -Competitive monthly salary will be determined based on the candidate's level of experience; -Flexible work hours; -High energy, international and innovative team. -Full remote from any location Responsibilities: -Develop a vision of the current payment conversion landscape across all possible segments. -Conduct in-depth analysis to identify key issues and compile a requirement list for effective resolution. -Design and create intuitive dashboards to provide valuable insights for the business. -Establish a roadmap for conversion improvement based on business goals. -Assist in the formulation of a monitoring system, including defining technical requirements and performing data analysis. Key Duties: -Proactive attitude and a client-centric approach to troubleshoot customer concerns effectively. -Prepare and validate various acquiring schemes to optimize payment processes. -Identification and description of issues in acquirer operations. -Incident handling (diagnosing complex incidents, identifying defects and widespread issues, collaborating with developers. -Monitor and analyze service conversion rates to implement proactive adjustments. Requirements: -Essential minimum of 3 years of experience in technical (client) support for financial institutions, such as banks, FinTech companies, or PSPs, or proven track record as a data analyst. -In-depth comprehension and knowledge of payment system principles, banking practices, PSP operations, and a strong grasp of the broader landscape of online payment methodologies. -Demonstrated adaptability to evolving processes and industry dynamics. -Proficiency in comprehending and working with APIs and logs. -Proficiency in database management, configuration files, and coding is a plus. -Methodical, structured approach with an unwavering commitment to maintaining order.

#remote#удаленка#вакансия#data#dataanalyst#analyst#fulltime Data Analyst Senior Локация: !только РФ! Формат: фултайм, удаленка Оформление: ИП Компания: Top Selection ЗП вилка: 280-300 k руб. мес. gross Проект: Разработка CRM нового поколения 📌 Требования: Hard Skills: • SQL: оптимизация, оконные функции, работа с терабайтами (ClickHouse, Vertica, Redshift) • Python: Pandas, SciPy, Statsmodels, прототипы ML • Статистика: A/B-тесты, bootstrap, power analysis, MDE, множественное тестирование • DWH: проектирование витрин, работа с версионированием (SCD), слоистость данных • Оркестрация: Airflow (DAGs, сенсоры, мониторинг пайплайнов), альтернативы (Dagster/Prefect) • BI: self-service, производительность отчетов, data governance Soft Skills: • Автономность: сам ищет задачи, не ждет ТЗ • Бизнес-перевод: от вопросов CEO к SQL и обратно • Менторство: растит джунов, ревьюит код • Стейкхолдеры: аргументирует приоритеты, умеет отказать Nice to Have: • Опыт работы с NoSQL БД (MongoDB, Cassandra, Elasticsearch) • Знание dbt • Выступления на конференциях / публикации • Английский для переговоров 👌 Контакты: @tenedius Прикрепляйте резюме + скрининг по требованиям (‘+,-’)

#vacancy#remote#dataanalyst#pricinganalyst#вакансия#удалённо Position: Pricing Data Analyst Company: Borzo (same day delivery service) Salary Range: up to 4500$ (negotiable) Employment is available in Armenia, Russia, India and Portugal. Work format: full-time, remote from any country About company Borzo is one of the biggest and most technologically advanced players in the global same-day delivery market. We provide unparalleled convenience to businesses and people, all the while creating millions of self-managed courier jobs. We strive to make delivery easier and cheaper than getting out of a house or office. We operate in multiple countries with India as the top priority, and already deliver more than 1,500,000 parcels monthly. To remain on the forefront of this promising, often surprising yet already highly competitive market, each day we have to learn more about our users than we knew yesterday and than our peers understand now. We are looking for experienced full-time Pricing Data Analyst to play a pivotal role in Borzo's growth journey. You will be working as a part of the Marketplace team with a functional reporting to the Lead of Analytics. Your mission will be to help the team to grow marketplace earnings and/or volumes within SLA constraints by continuously improving our base and dynamic pricing algorithms both for clients and couriers. What you will do • Build statistical, optimization, and machine learning models in base and dynamic pricing; • Design and execute experiments and interpret the results to draw detailed and actionable conclusions; • Help the team to find critical product/pricing problems, develop impactful hypotheses and recommend action plans. Required experience and skills • 3+ years experience as a Product Analyst, Data Analyst, or another type of data analysis-focused functions; • Experience in algorithm development and prototyping; • Successful application of base and dynamic pricing optimization models and algorithms; • Advanced proficiency in data interpretation (critical thinking, identifying biases or limitations, evaluating data source reliability, solid knowledge of statistics); • Proficiency in data manipulation (cleaning, transforming, and reshaping data, experience with Python); • Advanced SQL expertise (optimizing queries for performance, CTE, window functions); • English level B2. You will get • Opportunity to make a difference: you will influence company revenue directly; • No bureaucracy—direct communication with all stakeholders; • Flexible schedule: work at your convenience. No overtime; • Remote work or an office in any country of our presence; • Industry leaders in the company’s management; • Co-workers from 5 countries with diverse cultural backgrounds; • Competitive income with social benefits and medical insurance from day one; • Optional relocation to Portugal after 2+ years; • All necessary work equipment provided. tg: @rom4lk