... stakeholders - Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility - Contribute to continuous improvement of data management and analytical processes Skills & Experience - 4–5+ years of experience as a Data Analyst - Strong proficiency in SQL and Python , including: - Pandas ...
EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. In this intensive course, you will dive deep into statistics & data analysis, understand regression, classification and clustering techniques, as well as explore neural network basics. ...
... practices. Minimum Qualifications - 5-7 years of experience in Revenue/Sales Operations, Business Strategy & Operations, or a related analytical field (Data Science, Management Consulting, Corporate Finance, etc.). - Advanced Salesforce proficiency — deep understanding of CRM data architecture and how pipeline data maps ...
... stakeholders within the neuroscience and psychiatry community. - Deliver accurate, balanced, and compliant scientific exchange on disease management, emerging data, and developments within the neuroscience therapeutic area. - Identify insights, unmet needs, treatment trends, and opportunities within the local medical landscape ...
Unlock the future of financial markets—drive transformative change through strategic data and process innovation! Krakow-based opportunity with hybrid work model (up to 3 days remote per week). As a Senior Markets & Securities Services Business Analyst – Data & Process Optimization, you will be working for our client, a ...
... organisation. - Strong understanding of data value, data management, and applying technology to business strategy. - Experience in Financial Services, especially in data‑focused domains (Data Architecture, Data Governance, Data Management). - Proven logical data modelling skills and experience delivering conceptual and logical ...
... Business Analyst with strong Databricks and Power BI exposure to support a complex enterprise transformation programme. This role is central to understanding how data is structured, processed, and consumed across the organisation, with a strong focus on mapping end-to-end dependencies and user/data journeys. You will work across ...
Galderma is seeking a Salesforce Data Architect to support design and evolution of data solutions across Commercial and Marketing platforms. The role shapes scalable, secure data architecture, guiding solution design and governance in a global environment. Hybrid work arrangement with cross-functional collaboration and ...
... https://jobeax.com/link/jiTCdfhILbmpsIHY with stakeholders and data teams to gather requirements and translate them into effective data modelling https://jobeax.com/link/nGdefD578X04jN8a data profiling and analysis on relational and hierarchical data sources, including JSON and XML https://jobeax.com/link/d879mD0gLNBrNwo5 closely with data architects ...
... and observability tools in a high-scale environment. AI & ML Readiness: Supporting feature engineering, pipeline reproducibility, and freshness guarantees for Data Science teams. What we’re looking for: Strong hands-on experience with Python, SQL, and production GCP data tools. Solid background in Apache Kafka (or similar ...
Data Modeller Kraków - hybryda 6 dni/ miesiąc z biura w Krakowie Opis stanowiska Jako Data Modeller będziesz odpowiedzialny/-a za projektowanie, wdrażanie i utrzymywanie modeli danych wspierających architekturę danych oraz inicjatywy analityczne organizacji. Będziesz współpracować z zespołami międzyfunkcyjnymi, aby zapewnić ...
... through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting‑edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer ...
... pipelines, storage strategies, compute environments, and observability stacks—with a strong focus on self-service interfaces for AI engineers, analysts, and data scientists. This role requires combining deep technical expertise with strategic thinking, including support for feature engineering, unstructured data, and GenAI ...
... stanowisko Infrastructure Data Engineer. Lokalizacja: praca w modelu hybrydowym 6 dni na miesiąc z biura w Krakowie Współpraca: B2B O projekcie Zespół Cybersecurity Sciences & Analytics odpowiada za budowę i rozwój strategicznego data lake’a oraz platformy analitycznej wspierającej bezpieczeństwo organizacji na skalę globalną. ...
... min. B2+ , - stawka do 170 zł/h przy B2B w zależności od doświadczenia. Ta oferta jest dla Ciebie, jeśli: - posiadasz doświadczenie komercyjne na stanowisku Data Engineer, - pracowałeś z chmurą publiczną (AWS i/lub GCP i/lub Azure), - masz praktyczne doświadczenie z Apache Airflow, - znasz Databricks i ekosystem Spark, ...
... duplication-free data managementOversee real-time ingestion pipelines for market and operational dataDocument business transformations and establish rigorous data quality/lineage standards Requirements Expertise in Graph Technologies: Deep knowledge of Graph Data Science, Graph RAG and CypherCore Stack: Proven experience ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Big Data best practices and technology trends Maintain and ensure integrity and security of big data sources ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs). Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers. Managing complexity: Work at the intersection of business vision ...
... revenue impact and collaborate with some of the world’s largest AI companies. Responsibilities: Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata. Map customer requirements to our existing metadata and apply data modelling ...