415 nabídek na analytik dat v celé Česko.

... Experience with modern data platform concepts and technologies - Vendor management skills - Experience in the pharmaceutical industry - Experience with GxP validations, particularly in GCP (Good Clinical Practices) - Clinical data standards – CDISC SDTM, ADaM - Experience working in a product team - Databricks, PySpark, ...

... problems from following areas: - Data integrations (inbound and outbound integrations across multitude of systems including ERP, CRM, E-Com platforms, and more), - data processing and storage (lake house/feature store spanning over hundreds of data sources), - process automation (platform for automating marketing and sales interactions ...

... Dla jednego z naszych klientów szukamy BI Data Engineera , który będzie odpowiedzialny za projektowanie i rozwój procesów ETL/ELT, hurtowni danych, architektury Data Lakehouse oraz rozwiązań BI. To rola łącząca Data Engineering, Business Intelligence, Data Warehousing i Data Governance . Będziesz pracować zarówno nad warstwą ...

... do eksploracji danych oraz rozwiązań wykorzystujących sztuczną inteligencję. Ukázat vše (9) O pozici / o projektu Původní popisek. Poszukujemy doświadczonego Data Scientista do międzynarodowego projektu realizowanego dla dużej organizacji sektora publicznego na poziomie europejskim. Osoba na tym stanowisku będzie odpowiedzialna ...

... společnost s více než 30letou historií a působností nejen po celé České republice, ale také v zahraničí, hledáme nového kolegu či kolegyni, kterého/kterou baví databáze, ERP systémy a hledání chytrých a efektivních řešení, na pozici Databázový specialista – ERP i6 / MS SQL (Praha) . Náplň práce: * Správa databází a databázových ...

... mundane maintenance and outdated technologies, just the pure engineering joy of creating a well-designed piece of software . As a Data Engineer at Second Foundation, you’ll be a crucial part of a team focused on designing, implementing, and maintaining reliable data pipelines that gather and deliver data from multiple ...

... volumes of data in relational databases, creating custom analyses, optimizing SQL queries, and designing/implementing automated data flows (ETL/ELT) and extensive data migrations to ensure data integrity and accessibility. Your profile - solid and ready for the future - A strong foundation in Business Informatics, Data Science, ...

... that robust data infrastructure is the foundation of digital transformation. We're not just looking for someone to build pipelines; we're seeking an innovative Data Engineer who can architect scalable data solutions, implement modern data stack technologies, and ensure data reliability and accessibility across our organization. ...

... external data sources - Identify, assess, and support the mitigation of potential supply chain risks and disruptions - Prepare regular reports and present risk updates to management and internal committees - Track ongoing incidents and provide timely updates across the organization - Collaborate with Logistics and Procurement ...

... Data in defining and executing the enterprise data strategy, translating business objectives into a technical roadmap. - Define and evolve reusable enterprise data architecture principles, standards, and reference architectures — data modeling principles, integration patterns, and modern data platform architectures — used ...

... Credit Risk team and contribute to key credit risk and regulatory reporting processes. Our team develops and maintains applications supporting AnaCredits, Loan Data Tape, Credits ICM, CRIMS and ESG. These tools process a wide range of credit‑related information—such as counterparties, risk figures, credits, loans, and collaterals—and ...

... collaboration, and continuous learning. What will you do? - Analyze and interpret large and complex datasets - Translate data into actionable business insights and recommendations - Design and deliver end-to-end analytical solutions - Collaborate closely with commercial teams across Europe - Present findings and recommendations to business ...

... insights to traders and analysts - Contribute to the architecture and development of the team’s data science platform - Collaborate with data engineers and IT on data infrastructure and pipelines Tech Stack/Tools You Will Work With: - Python (pandas, numpy, scikit-learn or similar) - SQL - Streamlit and Power BI for data visualization ...

... field; an understanding of the scientific content of the data, not only its format, is essential - Basic experience with research data management: DMPs, metadata, data curation, data documentation, repositories - Working knowledge of FAIR principles and how they translate into real data structures and workflows - Basic data ...

... analytical platforms - Proven ability to independently investigate, diagnose, and resolve data quality issues and inconsistencies across multiple systems and data flows - Solid understanding of data governance, data quality management, metadata, and data ownership concepts, with the ability to apply them in practice - ...

... 3+ years of experience in Data Engineering, Data Analytics, or similar technical roles - Experience with ERP systems (SAP is a plus) - Strong understanding of data modeling, databases, APIs, and system integration - Advanced Power BI and Excel skills - Understanding of data governance and data quality management - Exposure ...

... Working across structured data, unstructured content and AI-assisted workflows, you’ll help our global teams make better, faster decisions - Collaborate with Data Engineers, Scientists, Analysts and Catastrophe Modellers, using modern cloud analytics platforms to build robust data pipelines, analytical data products and ...

Job offer As a member of Ingersoll Rand’s Internal Audit Department, the Internal Audit Sr. Data Analyst is primarily responsible for assisting the execution of internal audit work through developing repeatable data pipelines and analytics over areas frequently audited, administering audit technology (including reporting), ...

... Process big volume of telco data using (py)Spark in Azure - Cracking challenging problems of how to develop, productionalize and deploy models over messy telco big data - Collaborate with other engineers, product managers, and other teams within Dataclair to accelerate development and deliver compelling machine learning products ...

... uncover insights and solve complex business challenges. Develop, evaluate, and optimize machine learning models and statistical solutions. Collect, prepare, and validate data using Python, SQL, and modern data science tools. Collaborate with data engineers, software developers, and business stakeholders to deliver data-driven ...