... (analytics focus), or a comparable field. Several years of experience in data analytics, preferably within CRM, loyalty, or marketing environments. Strong knowledge of SQL and Python (or R) combined with experience working with analytical datasets. Experience with BI and data platforms such as Databricks and Looker. Understanding ...
... Support executive communication and reporting Your profile More than 5 years of hands-on experience in: Process mining or BI tools (e.g. Celonis, Power BI) SQL, data modeling, and data visualization skills ERP systems (SAP, Oracle) Moreover: Understanding of finance processes (P2P, C2C, R2R) Strong storytelling and data presentation ...
... Tworzenie oprogramowania; Optymalizacja wydajności; Testowanie i dokumentowanie tworzonych rozwiązań. Nasze wymagania: Znajomość języków programowania (SQL, PL/SQL, mile widziana JAVA); Znajomość narzędzi do kontroli wersji (np. Git, SVN); Mile widziana znajomość podstaw administracji bazami danych (Oracle i/lub MSSql); ...
... Mixpanel, Google Analytics, or similar Ability to structure ambiguous problems and define meaningful metrics Experience with experimentation (A/B testing) Python, SQL or similar data querying skills Experience in complex or enterprise environments What You'll love about working here Well-being culture: medical care with Medicover, ...
Poland, Katowice
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... Expected Capabilities & Expertise: – Data analyst instincts + software engineer’s hands. ~70% of the job is finding a cohort in BigQuery, working out why the data is wrong, and fixing it at scale. Strong SQL and genuine curiosity about data are non-negotiable. – JVM backend (Kotlin/Java, Spring Boot). Must be able to build ...
... bezpieczne środowiska technologiczne w obszarach sprzedaży, marketingu, produkcji, logistyki, finansów, zakupów, HR i wielu innych. Stanowisko: Senior Business Analyst (FP&A / Controlling Transformation) - Data & Cloud Zakres obowiązków: - Udział w projektach transformacji organizacyjnej i technologicznej dla klientów z różnych ...
... wykorzystaniu narzędzia Azure DevOps; Mile widziane kompetencje techniczne w szerokim zakresie technologii analitycznych Microsoft: Power BI, Azure (MS Fabric, SQL, Synapse, Data Lake, Data Factory, Logic Apps); Znajomość narzędzi AI (np. Microsoft Copilot) i umiejętność ich wykorzystania do usprawniania procesów, analizy ...
... More about us The Data & Analytics Services organization within Automation Business delivers and supports analytical data products, reporting solutions, and data-driven decision support capabilities across multiple divisions. Our mission is to enable business value through scalable analytics solutions, strong data governance, ...
... years of professional experience as a Data Scientist, Data Engineering, or a hybrid analytics role. Strong Python skills, e.g. pandas, NumPy, scikit-learn. Good SQL skills and experience working with data platforms. Solid understanding of statistics, data analysis, and feature engineering. Hands-on experience with AWS data ...
... integrating data from operational databases, and working with modern cloud data warehouses. Responsibilities Build and maintain Python-based ETL/ELT workflows for data ingestion, transformation, and validation Design and develop data pipelines to ingest data from operational databases (PostgreSQL, Microsoft SQL Server, and other ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... project-specific business logic through programming languages supported by 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 Data Software Engineering best ...
... (open source) tools Requirements Strong experience as a Data Technical Consultant and Data Solution ArchitectExpertise in Data Engineering, Data Warehousing, Data Science, Data Management, Data Governance, and Data VisualizationHands-on technology experience in the areas of Data AnalyticsAwareness of data technology trends ...
... knowledge of modern data architecture concepts, including distributed data platforms and scalable data management approaches, Practical experience with cloud-based data environments, data modeling, and SQL, Understanding of data governance, reference and master data management, metadata, lineage, and data quality practices, Experience ...
... Requirements 6+ years in data solutioning or consulting roles, including 2+ years delivering Salesforce-centric solutions Hands-on experience with Salesforce Data Cloud (D360), including data modeling, data ingestion, harmonization, identity resolution, calculated insights, and activation Proven track record of at least ...
... consulting, with a focus on Data/AI technologies and related business use casesStrong technical knowledge of data platforms (e.g., Databricks, Snowflake, AWS/Azure/GCP Data Services), ETL processes, data modeling, BI tools, and data visualization frameworks (e.g., Power BI, Tableau)Familiarity with data science techniques and proficiency ...
... certification opportunities, fully supported and provided by the company. Responsibilities Formulate and execute innovative analytical solutions using Cloud Native, Big Data, and NoSQL-centric technologiesDevelop and implement Cloud, On-Premise, and Hybrid solutions utilizing superior data frameworksCollaborate with product and engineering ...
... batch data flows powering production ML models. You will work with Data Scientists to create scalable pipelines in a hybrid work environment and help ensure data quality for model training and serving. The role requires 5+ years in data integration, Python/SQL proficiency, and experience with Spark or Flink, as well as ...
We are seeking a Senior Platform Engineer to design and build the API and Gateway layer that unifies our Data & AI Platform, transforming a fragmented service landscape into one coherent, secure, and observable product. Responsibilities Design and build APIs and SDKs on top of distributed platform services using Python/FastAPIDefine ...
... translate them into business cases with KPIs, investment rationale and delivery roadmaps that get sign-offOwn the workstream end-to-end: requirements, backlog, data readiness, governance and value tracking through to adoptionBrief the builders: work closely with Data Engineers, Data Scientists and Solution Architects to design ...