Data Engineer Trainee

Description

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 TraineeDuration: Fixed term for 6 months with potential contract renewalTarget start date: to discussLocation: Hungary/Poland Education recommendation: Bachelor’s degree in related field of study required. Master’s degree preferred.

Requirements

• 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

Responsibilities

• 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