Data specialist állások XXIII. kerületben középiskolai végzettséggel

Building and executing targeted outbound campaigns, creating prospect lists by cross-referencing multiple data sources Setting up and managing multi-channel outreach sequences across email, LinkedIn, and phone Configuring Clay workflows for data enrichment and executing LinkedIn or email outreach...

Crafting innovative solutions through requirements analysis, constructing workflow charts, and drafting precise specifications Transforming business requests into actionable development plans, user stories, and robust acceptance criteria Guiding projects from concept to seamless implementation,...

• üzleti koncepció, működési modell(ek), folyamatok
• szervezeten belüli működési modell(ek), új IT szolgáltatások kialakítást célzó, támogató IT projektekben

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

• az általunk fejlesztett informatikai rendszerben kezelt üzleti folyamatokhoz kapcsolódó új üzleti igények felmérése, megrendelővel, külső és belső stakeholderekkel történő egyeztetetése
• az üzleti folyamatok felhasználói által támasztott fejlesztési igények összehangolása

Adatrögzítés: termékek, megrendelések és ügyféladatok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése...

Adatrögzítés: adatok, dokumentumok, űrlapok pontos rögzítése számítógépen Iratkezelés: dokumentumok rendszerezése, archiválása, előkészítése Adminisztratív támogatás: egyszerű irodai feladatok, például nyomtatás, másolás, iratrendezés...

Készpénzfeltöltés: vendégek készpénzének kártyára történő feltöltése Pénzkezelés: készpénz pontos, szabályos kezelése Adatrögzítés: szükséges adatok ellenőrzése, rögzítése...

Be a role model and provide exceptional customer service experience to our external customers and internal stakeholders in the field of administration, order management, quotations, master data....

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• Collaborate with cross-functional teams to understand and translate business requirements into data solutions.
• Ensure data quality, integrity, and governance by implementing best practices in data management.

• Managing the order handling process for internal customers
• Maintaining customer and material master data in internal systems
• Tracking and processing customer orders end-to-end
• Handling customer inquiries, complaints, and requests from start to resolution

• Actively support organizations within the Group in the group-level deep-dive analysis as a consultant with regards to the methods, used tools and desired outcome.
• Conduct systematic reviews and proposals for corrective actions and process improvements to enhance operation.

• Control moving average price (MAV) variation
• Calculate, validate, and populate product costs into SAP
• Update logistics business processes and (Z) conditions in SAP
• Maintain MM condition tables, mark-up rates, and in-plant loss rates

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

• Daily customer care and continous contact with service providers
• Keeping daily contact with other Bunge departments and Martfű plant
• Provide exact and up-to-date data for maintaining customer database and freight conditions

• Define and drive the SEO roadmap across markets, channels, and teams.
• Lead advanced audits and develop long-term SEO strategies aligned with business objectives.
• Utilise AI-powered tools for analysis, reporting, and content optimisation.
• Monitor algorithm updates and lead agile response initiatives.

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

Steer and drive the high-level technology direction of Datapao, including how projects are delivered, solutions built, scaled, and technical teams enabled Oversee the technology strategy of Datapao, including key technical areas, projects, capabilities, standards, and roadmaps; align them with...