Data Governance Specialist

3 tygodni temu

Warszawa, Mazovia, Polska JTI Pełny etat

We are JTI, a global company with a presence in 130 countries. Our business is built on innovation, creating new and better products for consumers to choose from. But our business is not just about products – it's about our people, their talent, and their potential. We believe that when our employees are free to be themselves and are given the opportunity to grow, travel, and develop, amazing things can happen.

That's why our employees, from around the world, choose to be a part of JTI. It's why 80% of our employees feel happy working at JTI. And it's why JTI is recognized with various Employer of Choice certifications across different countries and regions.

As a Data Management Associate, you will play a crucial role in 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 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, and a willingness to learn and adapt to new technologies and trends.

Data Governance and Data Quality Support:

  • Assist in designing, implementing, and supporting data governance, data quality, and master data management solutions within the organization.
  • Work with relevant teams to monitor, rectify, and improve data quality.
  • Proactively identify opportunities to further improve the current solutions.

Data Management and Catalog 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.

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.

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.

Requirements:

  • University degree or equivalent in Computer Sciences, Information & Technology, or a similar field.
  • 1+ year of experience in enterprise developing/modelling in at least one of the following technologies/platforms: Power BI, Power Apps, Power Automate, Spark, cloud-based Big Data platforms, Data Quality, Data Catalog solutions, and Data Analytics.
  • 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.
  • Basic understanding of machine learning and AI algorithms for data processing/analysis.
  • Practical experience with Python, R, or other data-related programming languages/libraries.
  • 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.

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