Title:  Data Managment Associate

Department: Global IT Location: Bucharest, Romania

Reporting to: Data Governance Director

Role:  Data Management Associate

                                                                                                                     Data Management Associate

   
What this role is about?

This job offer presents an exciting opportunity for an aspiring individual keen on advancing their career in data analytics, data governance, and data management. This position is tailored for an individual with a technical and developer background passionate about enhancing and supporting our company's solutions in the Data & Analytics domain.
The role emphasizes developing and supporting solutions aligned with our objective of evolving into a data-driven organization. This guarantees the quality, consistency, and reusability of data across the organization. The successful candidate will play a crucial role in developing, implementing, and supporting these solutions using the latest trends and technologies available in market. 

Requirements for this role include a university degree in computer sciences or a similar field, experience with modern data governance concepts, data modelling, and data management, and familiarity with cloud-based Big Data platforms and practices. Basic knowledge of SAP systems, proficiency in Python or R, and experience with Azure Cloud Platform are also beneficial.
The successful candidate will be part of a global, multinational Data & Analytics team, working in a dynamic, challenging environment. This position is ideal for individuals with strong problem-solving skills, attention to detail always eager to learn and adapt to new technologies and trends.

What will you do – Responsibilities: 

Data Governance and Data Quality Support:  
• Assist in designing, implementing, and supporting data governance, data quality and master data management solutions within the organization  under the guidance of senior team members • Work with relevant teams to monitor, rectify and improve data quality • Proactively identify opportunities to further improve the current solutions • Perform data profiling tasks under the guidance of senior team members, helping to assess the quality of data
• Act as an advocate for Data Governance within the organization, promoting its importance and driving its understanding and adoption
• Assist Data Stewards in defining and creating Data Quality dashboards using Power BI

 Data Management and Catalogue Maintenance:
• Help and contribute to the enhancement and maintenance of the corporate Data Catalogue, ensuring accurate metadata management and data classification • Assist in creating and implementing processes for data/metadata collection, storage, use, and governance in the corporate Big Data Platform • Learn and understand these data management processes to effectively contribute to the team's data management efforts

Data Analysis and Project Collaboration:
• Contribute to the development of advanced data models to drive business insights and decision-making, addressing common challenges related to data silos and ensuring data consistency across all systems • Collaborate and engage in various projects and initiatives related to Data Governance and MDM

Technical Support and Documentation:
• Support the team in troubleshooting data-related problems and performance issues using debugging and problem-solving techniques • Support the creation and maintenance of technical documentation • Contribute to maintaining an up-to-date knowledge base, documenting common issues and their resolutions • Familiarize  with established corporate IT procedures related to change, demand and incident management

 Continuing Education and Teamwork :
• Stay updated with the latest trends in data governance and management, especially those related to Microsoft Platform •  Work as part of a global, multinational Data & Analytics team in a dynamic, challenging environment • Share insights and knowledge gained from these events with the team • Proactively seek out learning opportunities to enhance understanding of data governance and management

Who are we looking for – Requirements: 

• University degree or equivalent (preferably in Computer Sciences, Information & Technology or similar)

• 1+ year of experience in enterprise developing/modelling in at least one of the below listed technologies/platforms:

• Power BI  data modelling, dashboard/visualization, Power Query, DAX formulas and data warehousing concepts/models Power App and Power Automate design and development
• Data Engineering development code-oriented approach using Spark, spark preferably

• 1+ year of experience with cloud-based Big Data platforms, Data Catalogue solutions, and Data Analytics, preferably based on Microsoft Platform (e.g. Fabric/Azure Synapse Analytics, Azure Data Lake Storage, Power BI, MS Purview, Databricks, Spark, etc.)
• Knowledge of data governance practices, business, and technology issues related to the management of enterprise information assets • Proficiency in SQL and other data manipulation languages including joins, aggregations, and subqueries • Practical experience in Power BI, including data modeling, dashboard creation, report generation, Power Query, DAX formulas, and data warehousing concepts
• Basic understanding of machine learning and AI algorithms for data processing/analysis • Practical Experience with Python, R, or other data-related programming  languages/libraries (e.g. PySpark, Pandas, NumPy, etc.) is a plus
• Practical experience in handling different types of data formats like CSV, JSON, parquet, Delta Lake, or XML using these programming languages is a plus
• Strong problem-solving skills and ability to troubleshoot technical issues
• Strong communication skills with the ability to present complex information to both technical and non-technical stakeholders.
• Familiarity with using version control systems like Git for managing codebase in a collaborative environment
• Familiarity with Agile Principles and SCRUM framework
• Ability to drive innovation and solve complex tasks in a dynamic and challenging environment
• Strong organization skills with the ability to manage multiple tasks simultaneously

Recruitment process: 

Thank you very much for your interest in the role. You are welcome to apply.