Data Management Associate

1 tydzień temu

Warszawa, Mazovia, Polska TN Poland Pełny etat

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We are JTI, Japan Tobacco International, and we are present in 130 countries. We have spent years innovating, creating new and better products for the consumers to choose from. This is our business. But not only. Our business is our people. Their talent. Their potential. We believe that when they are free to be themselves, and they 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 is why 80% of employees feel happy working at JTI. And why JTI is recognized with various Employer of Choice certifications across different countries and regions.

So when you're ready to choose a career you'll love, in a company you'll love, feel free to #JoinTheIdea.

Please, apply by the 7th of March 2024

Local applicants are welcome

Department: Global IT

Reporting to: Data Governance Director

Role: 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 the market.

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.

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.

What are we looking for?

  • University degree or equivalent (preferable 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, preferably
  • 1+ year of experience with cloud-based Big Data platforms, Data Quality, Data Catalog solutions, and Data Analytics, preferably based on Microsoft Technology (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.
  • Basic understanding of machine learning and AI algorithms for data processing/analysis.
  • Practical Experience with Python, R, or other data-related programming languages/libraries (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.
Recruitment process:

Thank you very much for your interest in the role. You are welcome to apply. Feedback will be provided to all interested candidates throughout the recruitment process.

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