Oversee root cause analysis and corrective measures for data issues
Document DQM guidelines, data standards and business rules
Support evaluation of DQM tools and the target data model
From the employer’s posting
Contributes to define and establish KPIs, rules and target values
Supports in the measuring, analyzing, reporting and correcting data quality issues
Oversees root cause analysis for data quality issues, as well as execution of corrective measures
Supports the documentation of DQM guidelines, including deliverable definition, development standards, guidelines for data standards, data clusters, business rules and data migration.
Consulted in evaluation of DQM tools, definition of target picture and further development of data model
Bachelor's degree in Information Systems, Data Science, Computer Science, Business or related field
Proven success leading data quality improvement initiatives
Strong knowledge of data lifecycle, data flows, data modeling and databases
Fluent English, written and spoken
Qualification wording
Bachelor’s degree in Information Systems, Data Science, Computer Science, Business, or a related field.
Proven success leading data quality improvement initiatives in medium to large organizations.
Strong knowledge of data lifecycle, data flows, data modeling, and database systems.
Fluent in English (written and spoken)
Education & alternatives
- Well versed in DQM tools, technology and methodologies
- Bachelor’s degree in Information Systems, Data Science, Computer Science, Business, or a related field. Master’s degree or MBA preferred.
- 5+ years of experience in data quality, data governance, data management, data migration roles.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
SQL
SAP
Where the posting names them
- Previous involvement in data migration, system implementation, S4Hana upgrades and/or business transformation projects - as an asset
- Nice to have: SQL coding, knowledge of SAP Analytics Cloud & Datasphere
If you have any questions - feel free to contact rekrutacja.krakow@kiongroup.com
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
KION Business Services Polska is part of the KION Group - a world-leading supplier of forklift trucks, warehouse technology and supply chain solutions. We already employ more than 42,000 people in over 100 countries and are thus significantly driving the future of intralogistics while pursuing a clear sustainability strategy. In Cracow we hire around 750 Employees.
We're looking for the Data Quality Expert who will support in establishing and steering data quality management at a global level. Our expert collaborates with Data Quality Lead to define data quality rules, measurement and remediation for enterprise data as well as work closely with data owners, stewards, IT teams, and business stakeholders to define and implement data quality rules, monitor compliance, and resolve issues that impact data-driven decision-making.
If you want to be a part of keeping the world moving, KION Business Services is the right place!We offer:
Professional trainings in your area of responsibility
Sharing the costs of foreign language courses
4 hours off work per year for health check-ups ("Dzień na U")
No dress code
Possibility of growth inside of an organization
Company co-sponsored learning & development opportunities
Tasks and Qualifications:
Supports DQM processes, such as definition of data analytics framework, reporting frequency, recipients and giving further support in the development of standardized processes for proactive data quality management, as well as required ETL cycles.
Contributes to define and establish KPIs, rules and target values
Supports in the measuring, analyzing, reporting and correcting data quality issues
Oversees root cause analysis for data quality issues, as well as execution of corrective measures
Supports the documentation of DQM guidelines, including deliverable definition, development standards, guidelines for data standards, data clusters, business rules and data migration.
Supports vision and strategy execution at a tactical level, balancing it with data object and portfolio management, communication and change management.
Consulted in evaluation of DQM tools, definition of target picture and further development of data model, ensuring alignment, consistency, functionality and interface among stakeholders
Your Skills and Expertise:
Understand the business practices and technical processes for which they are responsible
Able to balance business needs with IT capabilities
Strong knowledge of data lifecycle, data flows, data modeling, and database systems.
Able to understand business requirements
Strong process viewpoint. Excellent root cause analysis skills
Well versed in DQM tools, technology and methodologies
Bachelor’s degree in Information Systems, Data Science, Computer Science, Business, or a related field. Master’s degree or MBA preferred.
5+ years of experience in data quality, data governance, data management, data migration roles.
Proven success leading data quality improvement initiatives in medium to large organizations.
Fluent in English (written and spoken); other languages are welcomed
Previous involvement in data migration, system implementation, S4Hana upgrades and/or business transformation projects - as an asset
Nice to have: SQL coding, knowledge of SAP Analytics Cloud & Datasphere