Javascript állások XXIII. kerületben (adminisztráció, asszisztens, irodai munka)

• Translation of business requirements into KPIs, metrics and visualizations
• Building and maintaining semantic and analytical data models on top of the data warehouse
• Writing and optimizing SQL queries, views and calculated measures for reporting use cases

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

Design, develop, and maintain interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

• Miben számítunk rád?
• Támogatod az adatvagyon gazdálkodási (Data Governance) és adatminőségi kezdeményezéseket
• Segítesz üzleti és technikai adatok összegyűjtésében, strukturálásában és elemzésében
• Közreműködsz adatleltárak, üzleti fogalomtárak és egyéb adatmenedzsment dokumentációk karbantartásában

• Data entry of unstructured property data
• Creation of new databases independently with defined collection criteria and quality standards
• Definition and setup of KPIs for data accuracy and completeness
• Assistance with ad-hoc data and analysis requests

• Leading data projects across the EMEA region including initiatives leveraging artificial intelligence and automation
• Leading and delivering innovation and transformation projects from scoping through to measurable business impact

• Development of dashboards and reporting solutions
• Support of data integration and operational initiatives
• Analytical investigations and identification of trends, risks and opportunities
• Collaboration with operational teams and stakeholders
• Provision of data analysis, reporting and performance insight

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Elemzés közlekedési projektekben
• Adatelemzés környezetvédelmi projektekben
• Adatelemzés közgazdasági projektekben

• Improvement of operational efficiency through process optimization, automation, and adoption of new technologies
• Understanding of the company's data warehouse and alignment of data flows with reporting requirements

• Elemzés globális szolgáltatási minőségi adatokon
• Nem megfelelőségi költségek, CAPA, ügyfél-elégedettség, NPS és audit eredmények elemzése
• Minták, ok-okozati csoportok, ismétlődő problémák és kockázatok azonosítása
• Elemzések átalakítása világos következtetésekké és ajánlásokká

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Coordinating and assigning QC requests to in-house or external linguists
• Tracking the progress of freelance QC projects to maintain quality, delivery schedules, and budget adherence
• Managing daily communication with QC clients regarding project status

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Make performance analysis and reporting
• Forecasting, planning and scenario support
• Prism adoption, standardization and continuous improvement
• Stakeholder partnering and action ownership
• Controls, data quality and governance

• Make performance insight and variance analysis
• Forecasting, planning and scenario support
• Prism adoption, standardization and continuous improvement
• Stakeholder partnering and action ownership
• Controls, data quality and governance

• Ensuring appropriate payment for contractual obligations through reconciliation of invoices with contracts and evidence of obligations met
• Acting as single point of contact for validating and coding claims for the respective cluster