Analytics data analytics állások Budapesten (it programozás, fejlesztés)

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

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...

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...

Exploration, profiling, cleansing and preprocessing of data for analytics and reporting Design and management of workflows for storing and retrieving vectorised documents for AI use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning...

Product definition and backlog ownership Quality and testing coordination Cross-functional delivery Deployment and early-life support Growth toward Level 4...

Development of the annual IT audit plan including annual risk assessment Assessment, management and optimization of information technology risk across cybersecurity, IT strategy and governance, IT regulatory and compliance requirements, and business continuity Management of a portfolio of assigned...

Proactive review of partners’ operating environments to deliver training, documentation, and best practices in customer support Development of tailored support documentation and leading workshops to map out support models for new partnerships Coordination with internal Wise servicing teams to...

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Such As Pricing...