Senior data analyst állások XVII. kerületben (it programozás, fejlesztés)

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

Join a client service team and take ownership of a workstream to solve client challenges Deliver solutions that solve immediate problems and drive long-term change Uncover true challenges behind a client’s strategy and create actionable plans Work alongside clients and colleagues combining...

Microsoft Word alapú sablonok karbantartása, módosítása Kapcsolódó dokumentációk elkészítésében való részvétel Dokumentum sablon tesztek megtervezése és végrehajtása Ügyfelekkel való egyeztetés és kapcsolattartás...

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,...

• Műszaki felsőfokú, gazdasági informatikus
• 6+ év szakirányú tapasztalat 
• Min. középszintű angol nyelvtudás  
• Kommunikáció szervezeten belül és kívülre is az adott projektekben 
• Fontos az önnáló problémamegoldó képesség 
• Teljesen önálló munkavégzés / irányvonalak kerülnek meghatározásra

• 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.

• Program duration: Two years
• Rotations: Two unique six-month and one twelve-month assignments
• IT functions: data science, project/product management, Continuous Improvement/OPEX, IT business analysis – depending on the country and business unit you will focus on.

• 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...

– Translate customer requirements into clear, actionable technical tasks. – Implement solutions on the Salesforce platform using declarative tools and best practices. – Build and maintain user interfaces, workflows, data integrity, and automate business processes. – Oversee the technical delivery...

Architect, build and maintain backend services and APIs using Python and web frameworks such as Flask or Django (or comparable) Design and implement RESTful APIs / microservices, ensuring clean, maintainable, and efficient code, adhering to best practices (coding standards, documentation, testing)...

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...

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

• 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

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,...

Lead end‑to‑end data and ML products across a global organization Build sophisticated commercial data products integrating with Salesforce, Snowflake, and AWS-native services Design and deploy advanced scoring engines for Leads and Opportunities Lead development of Marketing Mix Modeling (MMM) and...

Establishing consistent product development frameworks, discovering both customer and business needs across our diverse portfolio, without sacrificing flexibility Leading the product team's evolution to full-stack product thinkers Optimizing team structures and product roadmaps to ensure the right...

Act as the technical expert supporting sales efforts to help customers understand data science and AI solutions. Bridge Sales and Delivery to ensure smooth handover and alignment with customer goals. Drive customer calls and discovery sessions to uncover technical needs and guide solution design....

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Architecting complex AWS infrastructures and zero-day compliant landing zones Understanding customers’ business problems and providing technology consulting to identify the best-fit solution Owning the end-to-end solution as a key decision-maker and driving the delivery team Describing...