Data Management Associate

This is a fully remote position, open to applicants in Poland.

📋 Description

• Collect, analyze, and document business, functional, and data requirements through stakeholder workshops, interviews, and collaborative sessions.

• Evaluate and analyze datasets to identify data quality issues such as duplication, completeness, consistency, and integrity gaps, while conducting root-cause analysis.

• Establish and execute validation and completeness checks, monitoring data quality against established metrics and thresholds.

• Facilitate the resolution of data issues with source-system and engineering teams, including cleansing, de-duplicating, and reconciling records.

• Assist in the maintenance of master and reference data by adhering to established standards for key entities.

• Serve as a domain data steward and primary contact for data meaning, origin, and usage.

• Manage the data catalogue and business glossary, ensuring definitions, ownership, and business context are up to date.

• Document data lineage and flows across source systems, storage solutions, and reporting layers.

• Create data dictionaries, standards, process notes, and how-to guides.

• Contribute to data quality reporting and suggest enhancements to controls and processes.

• Implement and support data governance policies that cover access, retention, classification, and privacy, while meeting audit requirements.

• Collaborate with engineering, product, BI, and business teams to integrate quality and governance requirements early in the delivery process.

• Support and mentor data stewards, sharing expertise and enhancing data literacy across teams.

⛳️ Requirements

• Typically 2–4 years of experience in data management, data quality, data governance, data analysis, or data operations.

• Experience in executing large-scale data management initiatives within a complex data landscape.

• Proven experience with data profiling, cleansing, reconciliation, and root-cause analysis.

• Understanding of data governance concepts, including stewardship, master and reference data, metadata, lineage, classification, and data privacy, including GDPR.

• Strong skills in requirements gathering and workshop facilitation.

• Ability to convert business needs into clear, traceable documentation.

• Proficient in working with spreadsheets and managing data at scale, with a keen attention to accuracy and detail.

• Excellent written and verbal communication skills for both technical and non-technical audiences.

• Collaborative and proactive approach, with the ability to independently manage multiple workstreams.

• Preferred experience with tools such as Collibra, Alation, Informatica, Microsoft Purview, or similar.

• Familiarity with cloud data warehouses, dbt, and ETL/ELT tooling.

• Experience with Power BI, Tableau, or Looker, as well as self-service analytics.

• Fluency in AI, including the use of AI tools and ensuring trustworthy data assets for AI applications.

• Scripting experience for data tasks, such as Python.

• Experience in data management within a regulated industry is desirable.

• A relevant degree or professional data qualification such as DAMA/CDMP is preferred.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and growth.

• Flexible work arrangements to promote work-life balance.

• Engaging and inclusive company culture.

• Competitive salary and performance-based incentives.