Data Insights Specialist

2 weeks ago

Warszawa, Mazovia, Czech Republic beBeeData Full time €70,000 - €95,000
Job Overview

A leading role in data analysis and stewardship, requiring a Master's degree in Statistics, Computer Science, Data Management, or related fields.

With 5+ years of experience as a Data Analyst or Data Steward, preferably in the consumer-packaged goods, FMCG, pharmaceutical, or healthcare industry, success in this position is contingent upon strong knowledge of data management principles, data quality frameworks, and metadata management practices and tools.

The ideal candidate will have a deep understanding of data lineage and cataloging concepts, enabling collaboration with various stakeholders to develop cutting-edge AI solutions and support data-driven decision-making.

Key Responsibilities
  • Data Asset Roadmap Ownership: Collaborate with data owners, architects, engineers, stewards, governors, scientists, and product managers to understand objectives and requirements for data assets.
  • Liaison Role: Serve as a liaison between technical teams and business stakeholders to ensure data assets meet both business requirements and technical standards.
  • Data Strategy and Governance: Co-develop data strategy and governance frameworks.
  • Dataset Integration: Proactively identify new datasets from across the organization and collaborate with data architects and data engineers to integrate them into the core data assets.
  • Transformation Logic: Define transformation logic and enrich data to create valuable KPIs and features in the consumption layer.
  • Data Semantics and Metadata: Develop and maintain clear semantics and metadata for data assets, ensuring that all data is well-documented and easily understandable.
  • Data Quality and Availability: Ensure data quality, availability, and completeness through implementation of quality checks, validation processes, and continuous monitoring in collaboration with data architects and data engineers.
  • User Support: Serve as the primary point of contact for users of data assets, providing guidance and support to help them understand and utilize the data effectively.
  • Insight Generation: Analyze complex datasets to extract actionable insights that streamline the development of analytics and AI solutions.

This role demands excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication skills are essential, with the ability to present complex data in a clear and understandable manner.

Familiarity with data manipulation and analysis using Azure Databricks, SQL, and Python is desirable. Experience with preparing data for AI solutions, such as traditional machine learning models, AI Agents, and IT product management is a plus.

Fluent English language skills are required for this position, with the ability to communicate effectively both written and spoken.

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