... Excellent written and spoken English skills. Experience with Snowflake and Dbt. Understanding of domain-driven design and microservices architecture. Experience with scalable data products. Nice to Have: Experience with advanced analytics tools. Familiarity with data governance principles. Knowledge of cloud data services.
... you can explain how you sized a test, what you did about an inconclusive result, and a hypothesis of yours that turned out to be wrong. - Fluency in funnel analytics. You pull your own numbers and don't outsource your judgement to a dashboard. - A working model of two-sided marketplace dynamics. - Bias toward shipping and ...
Job Description The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. Key Responsibilities: Assemble large complex data sets which meet functional ...
... Ads oraz Meta Ads. • Opracowywanie strategii przy wsparciu specjalistów z zespołu. • Analiza skuteczności działań oraz raportowanie wyników za pomocą Google Analytics 4. • Współpraca z innymi zespołami wewnątrz firmy, w tym przygotowywanie rekomendacji i zbieranie wymagań. • Pomoc w bieżących zadaniach zespołu. Nasze wymagania: ...
... tech company. We are building technology that helps businesses create fully personalized, AI-driven customer experiences at scale. Our platform combines data, analytics, automation, recommendations and AI to help companies better understand customer behavior and act on it in real time. We work with leading brands across Retail, ...
... Operational Excellence - Looks for opportunities for continuous improvement in processes and technology solutions, e.g. contribute to initiative working group(s) - Analytics / Compliance Activities - Support preparation of GRS analytics and monthly dashboards, eg submission, Approvals, key achievements, miles stones - Review Verity ...
... Oracle-Datenbanken (Oracle 19c) Sehr gute Kenntnisse in Data Engineering und Datenintegration Sehr gute Deutschkenntnisse (C1) Wohnhaft in Deutschland Nice to Have Erfahrung mit Oracle Analytics Server Kenntnisse in Git Erfahrung mit Visual Studio Code Kenntnisse in Linux (SLES) Bei Interesse, freuen wir uns auf Ihre Bewerbung.
... loan origination and repayment history. Implement data quality checks, validation rules, and data lineage. Manage and evolve the data warehouse and lake for analytics and reporting. Ensure compliance with regulatory and data governance requirements. Collaborate with product managers and domain experts in an agile setting. ...
... Composer/Airflow, Cloud Run) and Kafka. Modern Transformation & Architecture: Implementing dbt models and Medallion patterns to enable trusted self-service analytics across global business units. Data Quality & Governance: Setting up data contracts, lineage tracking, and observability tools in a high-scale environment. ...
... gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders. Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, ...
... to design, deliver, and continuously improve high-quality, scalable, and reusable enterprise data products and services. These services form the backbone of analytics, AI, and GenAI initiatives across global business domains. You will own the design and engineering of data models, orchestration pipelines, storage strategies, ...
... and tracking of pricing activities, margin strategy and GP protection, monetization analysis, DSO optimization, forecast accuracy support, and standardized analytics for global customers and complex portfolios. This position provides support for strategic decision-making, financial analyses, key metric reporting to management, ...
... business intelligence, investment, and asset management. How you will get the job done developing production-quality software and services, rather than treating analytics and AI as isolated prototypes building and integrating APIs and services (streamlit, react, PowerBI application) that expose data, analytics and AI capabilities ...
... engineering and data science teams, setting direction and ensuring both sides are pulling in the same direction. The center of gravity is advanced and predictive analytics combined with AI — spanning forecasting, elasticity modeling, scenario simulations, causal attribution, generative AI use cases, and machine learning models. ...
... Design & Crypto‑agility; Policy, Standards & Guardrails; Enablement & Training; Mitigation & Remediation; Innovation & Development - Own programme dashboards/analytics and performance reporting, tracking progress against agreed targets and indicators - Establish a single source of truth for programme milestones, deliverables, ...
... - Collaborate with the Southern Europe Cluster team on cost optimization and standardization initiatives. - Support global standardization projects and Sap Analytics Cloud (SAC) implementation for Advertising & Promotion and Selling, General & Administrative planning and analysis WHAT WE WANT YOU TO BRING ALONG - Minimum ...
... Learning Engineer, to join our growing Data Science Engineering team. You’ll work with other engineers, data scientists, product managers, systems engineers, and analytics professionals to help deliver valuable and innovative outcomes for our customers. You’ll work within and across our Engineering and Data Science teams, delivering ...
... decisions, promptly responding to mandated model deadlines and preventing Policy breaches**Analysis & Independent Review*** Support centralized model governance analytics, including benchmarking and root cause analysis, formulating independent views on risk rating models performance* Conduct model and portfolio-level risk analysis ...
... master’s degree in Computer Science, Engineering, IT, or a related field. 3+ 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, ...