Job Summary:

• Implement Data Quality solutions using SAP Information Steward tool
• Analyze data from multiple source systems and provide data quality recommendations
• Align with the business and stakeholders to capture data quality related requirements.
• Create re-usable data quality rules from business rules
• Work with data owners across value streams to facilitate data harmonization rules
• Learn Data Analysis tools and create dashboards and data profiling reports (SAP Information Steward)
• Create/modify data cleansing packages from Business rules
• Create/modify data scorecards for reporting and data quality progress analysis
• Create/change/execute simple to medium complexity ETL Jobs using SAP BODS leveraging Data Cleaning Rules & reusable functions.
• Maintain data quality best practices across projects
• Lead/participate with Data Quality project teams on toolset platform architecture
• Manage/resolve tool-set technical issues

Skills on Resume:

• Data Quality (Hard Skills)
• Data Analysis (Hard Skills)
• Business Alignment (Soft Skills)
• Rule Creation (Hard Skills)
• Data Harmonization (Hard Skills)
• Dashboard Creation (Hard Skills)
• Cleansing Execution (Hard Skills)
• ETL Management (Hard Skills)

Job Summary:

• Work to establish the data governance strategy within the lines of business
• Develop and document governance policies, practices and standards
• Coordinate, implement and execute data governance and data quality strategy
• Define the enterprise data governance operating model, data policies and standards as well as the implementation of clear data management definitions for use across the organization
• Provide guidance and recommendations for process improvement and data quality enhancement
• Work with the Data Owners to ensure they understand their roles and responsibilities, providing advisory guidance and support to ensure Data Governance accountabilities are understood
• Lead the integration and enterprise-wide use of Data Governance & Data Quality tools
• Set up and enhance Data Governance and Data Quality frameworks, standards, policies, artifacts and processes to be leveraged by business units locally and regionally
• Design and implement robust error and exception handling procedures
• Implement and support the strategic direction for how the organization uses data internally and externally
• Stay current with industry trends and best practices and ensure knowledge sharing occurs with the Enterprise team and LOB stakeholders

Skills on Resume:

• Data Governance (Hard Skills)
• Policy Development (Hard Skills)
• Strategy Execution (Hard Skills)
• Operating Model Design (Hard Skills)
• Process Improvement (Soft Skills)
• Advisory Support (Soft Skills)
• Tool Integration (Hard Skills)
• Framework Setup (Hard Skills)

Job Summary:

• Identify, document, track, and drive data quality issues to resolution with a focus on business data usability
• Work closely with internal business customers, applications development, and subject matter experts to translate business objectives into practical data quality business rules/requirements
• Validate that data systems and flows meet design specifications and requirements by querying the data, creating & automating test cases and executing regression & integration tests
• Identify data quality scope from system specifications and ensure the right coverage when validating the data against such specifications
• Determine data quality improvement recommendations as well as process and application improvement recommendations for the source systems
• Utilize data profiling to uncover data issues and perform rules-based assessments of data
• Collaborate with the engineering team to develop data quality logic to apply to ETL and other automated processes based on defined business rules
• Work to develop & support data quality reporting dashboards
• Measure and report data quality metrics & progress of data quality improvement initiative.
• Identify data quality improvement opportunity and resolve data quality issues with the stakeholders.
• Monitor data quality for data ingested into the data ecosystem against data quality standards.

Skills on Resume:

• Issue Resolution (Soft Skills)
• Business Translation (Soft Skills)
• Data Validation (Hard Skills)
• Scope Identification (Hard Skills)
• Process Improvement (Soft Skills)
• Data Profiling (Hard Skills)
• ETL Logic Development (Hard Skills)
• Quality Metrics (Hard Skills)

Job Summary:

• Advise on the development and implementation of programs and projects that concentrate on business practices. 
• Improve data reliability, validity, and timeliness from all levels of the organization. 
• Analyze data may be detailed or aggregate but are related to financial expenditures, utilization patterns, or demographic considerations of health care. 
• Be familiar with medical recording and coding requirements utilizing the Worldwide Reporting System and medical record procedures.   
• Be accountable for maintaining the Data Quality dashboard, delivering status updates on Cadent’s Data maturity and performing individual analyses of data quality 
• Undertake quality audits, operating data remediation plans where data fails to meet required quality and challenge and influence the stakeholders to ensure that improvements plans are designed to eliminate future issues within systems and processes
• Be accountable for optimal configuration of the Data Quality tool, ensuring the automated ingestion of the datasets and programming the data validation schedules according to the prioritised needs
• Conduct data profiling & analysis, develop/test/deploy data quality rules.
• Collaborate with stakeholders to resolve data quality issues from issue identification, investigation, to remediation.
• Collaborate with stakeholders to define & determine data quality business rules.
• Perform UAT on data quality platform/tool/solution
• Build and maintain data quality SOP and documentation

Skills on Resume:

• Program Development (Soft Skills)
• Data Reliability (Hard Skills)
• Data Analysis (Hard Skills)
• Medical Coding Knowledge (Hard Skills)
• Dashboard Maintenance (Hard Skills)
• Quality Audits (Hard Skills)
• Tool Configuration (Hard Skills)
• Stakeholder Collaboration (Soft Skills)

Job Summary:

• Define, create & maintain Master Data and enable and manage the data definitions and checks (both master and transactional data).
• Define, measure, analyze, improve and control the Data Quality Framework, based on relevant business processes.
• Establish data quality metrics and monitor data quality proactively through available tools and based on the ASML data quality framework.
• Prepare and perform mass update and cleansing requests from relevant stakeholders.
• Prepare and execute change requests together with IT and/or system suppliers. 
• Create incidents on data tooling at IT & support solving them.
• Create and maintain policies, work instructions and procedures supporting the Data Quality Framework.
• Execute metadata actions within the ASML Meta Data management application DGC
• Perform day to day data quality improvement actions within the CRE applications landscape.

Skills on Resume:

• Master Data (Hard Skills)
• Quality Framework (Hard Skills)
• Metric Monitoring (Hard Skills)
• Data Updates (Hard Skills)
• Change Management (Hard Skills)
• Incident Handling (Hard Skills)
• Policy Writing (Hard Skills)
• Meta Data (Hard Skills)

Job Summary:

• Executes independent assessments of end-to-end Data Tracing capability that assists in providing assurance over data accuracy
• Conduct meetings with data originators upon finding any errors or concerns during audit to discuss discrepancies and action items, and collect corrected proof from data originators
• Contribute to the development of audit processes improvements
• Applies solid understanding of how internal audit collectively integrates with line management and control functions to accomplish the objectives of the function and overall business
• Pro-actively develops automated routines to help focus audit testing
• Work with the Manager, Quality Improvement to learn the existing QMS Data System, data attributes, connections, and integrations
• Co-own the accuracy and integrity of the data within QMS-D
• Collaborate with other functions within the organization to increase accuracy and integrity of the data within QMS-D (e.g. as new data attributes are added to the system, revisions to attributes are made, etc).
• Support ad hoc requests for data analysis utilizing data stored within QMS-D

Skills on Resume:

• Data Tracing (Hard Skills)
• Audit Execution (Hard Skills)
• Process Improvement (Soft Skills)
• Internal Collaboration (Soft Skills)
• Automation Routines (Hard Skills)
• QMS Knowledge (Hard Skills)
• Data Integrity (Hard Skills)
• Data Analysis (Hard Skills)

Job Summary:

• Proactively support the organization in analyzing and profiling current state of data, identify data quality issues and suggest areas for improvement
• Apply Data Quality Management practices from data creation in operational systems, through data pipelines to analytical consumption.
• Prepare and facilitate workshops and Data Quality Management training and introduction to partners across the organization
• Guide, advise and challenge Data Owners and Data Stewards to be successful in their roles
• Participate in developing the overall Data Governance Framework
• Contribute to setting the overall direction and ambition for Data Governance and execution of roadmap and plans
• Develop the quality standards of data systems to ensure that it will be adapted to current HDB policy such as consistency, usability, security, and availability of data
• Establish a mechanism to manage data properties to improve and tune data flow that will be in collecting, processing and storing.
• Coordinate to build relevant documents and implement data cleaning.
• Develop data quality reporting rules and tools.
• Monitor and improve data quality continuously

Skills on Resume:

• Data Profiling (Hard Skills)
• Quality Management (Hard Skills)
• Workshop Facilitation (Soft Skills)
• Stakeholder Guidance (Soft Skills)
• Governance Framework (Hard Skills)
• Quality Standards (Hard Skills)
• Data Flow Management (Hard Skills)
• Data Monitoring (Hard Skills)

Job Summary:

• Support the coordination of audit-related activities with internal staff, committees, and vendors.
• Support the data outlier program, which informs hospitals about potential issues with the submitted data. 
• Explore novel analytical methods for detecting discrepant data to expand on current outlier analysis techniques.
• Build upon the existing data quality program to further develop and expand the programmatic evaluation of the accuracy and completeness of registry data to improve upon the quality of the data using novel analytic approaches.
• Develop professional relationships with internal and external stakeholders, and work with the data quality team and vendors to drive execution of program deliverables.
• Proactively identify and trouble-shoot potential challenges during implementation of the audit and other data quality program activities
• Developing and proposing innovative solutions to address challenges and streamline processes.
• Maintain a comprehensive schedule and track completion of internal and external deliverables, milestones and metrics.
• Deliver regulatory reports/other data services according to internal/external requirements and deadlines
• Participate in the change management lifecycle regarding the content and the preparation of reports/data services (follow up and interpret external and internal requirements, prepare business specifications, participate in UAT, prepare internal regulations and other documents)
• Monitor and improve data quality, give regular feedback to data sources
• Simplify, improve and automate the end-to-end reporting processes
• Participate in regulatory reporting projects and other ad-hoc tasks

Skills on Resume:

• Audit Coordination (Hard Skills)
• Outlier Detection (Hard Skills)
• Data Quality Program (Hard Skills)
• Stakeholder Management (Soft Skills)
• Troubleshooting Challenges (Soft Skills)
• Process Innovation (Soft Skills)
• Regulatory Reporting (Hard Skills)
• Change Management (Hard Skills)