Analytics data analytics állások, munkák it programozás, fejlesztés területen

Act as the key link between business and delivery teams, ensuring alignment with enterprise standards (architecture, security, compliance) and providing clear visibility on progress, risks, and trade-offs to senior stakeholders....

Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the...

• Collaborate to the building, improvement and optimisation of the Customer Analytics process and related systems.
• Contribute to the development of the Customer Analytics Roadmap and translate it into actionable plans.

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• Translate client needs into technical solutions 
• Design data-driven systems using Databricks and Azure 
• Build ingestion and transformation pipelines using SQL, Python, dbt 
• Automate data workflows 
• Participate in sprint planning and deliver reliable solutions 

• Lead Digital Factory‑level roadmap development, spotting risks, dependencies, and mitigation actions early
• Drive strategic, cross‑functional transformation initiatives within Digital Factory (and potentially beyond)

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Data flow, data pipeline-ok és skálázható adatmodellek tervezése, fejlesztése és optimalizálása üzleti elemzések támogatására,
• Data martok üzemeltetése és karbantartása a domain szakértőkkel együttműködve,
• Oracle rendszerek előkészítése dbt és Snowflake alapú migrációhoz,

• Monitor and control IT project budgets from initial request through completion, ensuring financial adherence and transparency
• Develop and maintain KPIs and performance dashboards to evaluate departmental effectiveness and identify improvement opportunities

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

• Aktív részvétel a vállalat modern, Databricks‑alapú adatplatformjának fejlesztésében és üzemeltetésében
• ETL/ELT adatfeldolgozási és -betöltési folyamatok tervezése, fejlesztése és karbantartása különböző forrásrendszerekből származó strukturált és strukturálatlan adatokhoz

• Diagnose current data architecture and data maturity, identifying gaps and improvement opportunities
• Design and develop data architecture together with data architects, ensuring security, scalability, and maintainability

Design, develop, and maintain enterprise-scale distributed applications using Java/J2EE technologies Build and support real-time data interfaces and backend services Translate business requirements into scalable technical solutions and system architectures Develop microservices-based applications...

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

Support Data Workflows Inside Palantir Foundry Support Operational Applications And AI-Supported Processes Work With Data Flows And Integrations Inside Palantir Foundry Support Workshop Applications And Operational Tooling Collaborate With Business And Technical Teams Help With Advanced Analytics...

Strategic backlog and scope ownership Roadmap, vision and data strategy Stakeholder management and ambiguity navigation Quality and built-in engineering excellence collaboration Operational readiness and 3rd line support oversight...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases