Adatanalitikus állások, munkák XVII. kerületben

• 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.

• Responsible for making decisions in annual pricing on country level, in year pricing and new launch pricing through looking into all influencing areas,
• achieved through using all the right analytical methods, tools, and guidelines,

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,...

Termékek számolása raktárban és eladótérbenAdatok rögzítése és ellenőrzése PDA segítségével...

• Implementing business processes and enhancing existing ones based on business and technical requirements
• Thinking from both the user and business perspectives
• Running and maintaining scripted processes regularly

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,...

• Create, update, and maintain master data records (customers, vendors, materials, pricing, etc.) in ERP systems.
• Ensure data accuracy, completeness, and compliance with company standards and policies.
• Perform regular data audits and cleansing to maintain integrity and consistency.

• Komplex pénzügyi rendszerek tervezésében és fejlesztésében veszel részt – az ötlettől a megvalósításig
• Ügyfél- és piaci igények megértése, ezekből új funkcionális koncepciók kialakítása

• üzleti igények elemzése, folyamatok felmérése / tervezése,
• üzleti követelmény specifikációk készítése,
• üzleti területek támogatása, kapcsolattartás az IT és üzleti területek között,
• felhasználó elfogadási tesztek (UAT) koordinálása, teszt tervek készítése,
• program menedzsmenet, projektek vezetése.

• Kontrolling szakértőként támogatod a Gyógyszergyártási területet
• Stratégiai projektek önálló, operatív menedzselése kontrolling adat oldalról
• Proaktív javaslatokat fogalmazol meg sztenderdizációra, riportok fejlesztésére, adatelérhetőségre vonatkozóan

• A kereskedelmi, termelési, pénzügyi és egyéb társterületek vezetőinek döntéseit támogató előremutató elemzések, pénzügyi modellek készítése
• Projektek üzleti hatásainak becslése és visszamérése, termék önköltség előkalkulációk készítése

• Forecasting revenue impact for new product launches
• Reconciling actual results leveraging advanced variance analysis tools
• Establishing narratives of underlying business drivers impacting the results