Data Analyst with Quality Responsibility at AI Center, Region Uppsala
Workplace: Uppsala, Sverige
Expires: August 24, 2025
The role involves structuring, organizing, and defining data flow within Region Uppsala's AI Center to ensure data availability, consistency, and effective use for analysis and decision-making. The position requires maintaining data quality, standards, and metadata, acting as a steward of data resources, and ensuring compliance with regulations and organizational requirements.
Main requirements:
- University degree in IT, systems science, statistics, or relevant work experience.
- At least 2 years experience in roles focused on data quality and data management such as information architect, statistician, or analyst.
- Minimum 2 years experience working with SQL.
- Minimum 2 years experience working in regulatory governed environments.
Responsibilities:
- Structure, organize, and define data flow within AI Center.
- Ensure data availability, consistency, and usability for analysis and decision making.
- Maintain and ensure data quality, standards, and metadata.
- Collaborate closely with business and technical teams to ensure data meets integrity and compliance requirements.
- Support development and stewardship of data resources throughout AI system lifecycle.
Required hard skills:
- SQL
- Data quality management
- Metadata management
- Experience in regulatory environments
Recommended hard skills:
- Experience with SAS platforms
- Python programming
- Metadata management and data lineage
- Agile development experience
Soft skills:
- Initiative and proactivity
- Responsibility and structured approach
- Effective planning, organization, and prioritization
- Attention to detail and quality standards
- Analytical skills to solve complex problems
- Persuasion and influence skills
- Sound judgment and decision-making
Coding languages:
- SQL
- Python
Frameworks:
- Agile development methodologies
Natural languages:
- Swedish (Proficient)
- English (Working knowledge)
Cultural skills:
- Commitment to societal benefit and ethical AI use
- Promoting diversity and gender equality in the workplace
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