This role supports Supply Chain operations by improving data quality, managing data transformation, and designing data models for visualization.
Data Analyst Trainee to support Supply Chain operational and management reporting data quality by using data transformation and advanced data management skills.
Position: Data Engineer Trainee
Duration: Fixed term for 6 months with potential contract renewal
Target start date: to discuss
Location: Hungary/Poland
Education recommendation: Bachelor’s degree in related field of study required. Master’s degree preferred.
- Understand the data model in terms of business process , drive improvement actions on data modeling and data harmonization
- Write testing plans and routines, manage continuous integration and regression testing processes, and be the point person for clearing data for release according to delivery specifications
- Driving datamodelling documentation activites
- Do the maintenance work after a project goes live and is in production phase
- Evaluate large dataset for quality and accuracy, Determine root cause for data quality errors and make recommendations for long-term solutions
- Work on designing data models for innovative data visualization and predictive analytics solutions to drive proactive decision making.
- Design, implement visualisation in Power Platforms (Pbi etc)
- Analyse new use cases and design solution templates and prepare proposals for process improvements. Clean and transform data with use of T-SQL
- Demonstrable analytics experience including ability to synthesize and present intelligence derived from data
- Ability to work with little or no supervision
- Strong analytical and interpretive skills with the ability to make copious amounts of data into an insightful story with actionable recommendation
- Hands-on experience with current Business Intelligence tools like MS PowerBI, Tableau, Qlikview
- Experience with database solutions such Oracle SQL, MS SQL, MS SSAS, Azure MS SQL
- Proficiency in transact SQL
- High ethical standards; able to manage confidential information and projects
- Good interpersonal skills to work as part of a team combined with ability to engage with variety of stakeholders
Similar Jobs
Information Technology
As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.
Top Skills:
BigQueryClickhouseDruidLlmsMachine LearningNatural Language ProcessingPower BIPythonRedshiftSQLTableau
Artificial Intelligence • Cybersecurity
As a Senior Platform Engineer, you will build self-service tools for product engineers, implement automated governance, and architect CI/CD workflows to streamline deployment and compliance.
Top Skills:
ArgocdAWSGithub ActionsGoGrafanaKubernetesOpen Policy AgentPrometheusPythonTerraform
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the design for a critical product area, collaborating with teams to craft effective user experiences while leveraging AI tools for prototyping and testing. Influence product strategy and uphold design standards while mentoring junior designers.
Top Skills:
Ai-Assisted Prototyping ToolsCode-Generation ToolsFigma
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
