Data Analyst

PlanIT Group; United States; Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

PlanIT Group is seeking a Data Governance professional to define how data is stored, consumed and governed across enterprise systems during modernization.

You will lead governance, cataloging, lineage and quality efforts, ensuring compliant data usage and retention as legacy landscapes transition to enterprise models.

Qualifikationen

• Past work experience with Data Governance for an enterprise business transformation.
• Ability to work across a federated data governance team.
• Prior work experience performing in an agile environment.
• Productively working with a diverse set of skills.

Aufgaben

• Tracking the state of data that is used for Enterprise Gap & Common reports.
• With multiple go-lives, and usage of 1Enterprise Mx and legacy data, how to ensure right data is used.
• Capture and track the legacy & Enterprise models and the associated data.
• As we work through transitional architectures confirm the correct data is used.
• Tracking of data needs from the legacy end-user data platforms.
• Ensure data is fit for purpose, and the correct data is retained.
• Ensure the data customizations from legacy environments are dispositioned.
• Transformation of legacy to Enterprise data models.
• Building data catalogs.
• Ensure people understand the meaning and purpose of Enterprise and Business Area data.
• Data Retention & Records Management Compliance.
• Working with Records Managers to compliance of Enterprise data solution.

Kenntnisse

Data Governance

Agile

Federated Governance

Data Cataloging

Data Lineage

Data Quality

Data Stewardship

Risk & Compliance

Enterprise Data

Jobbeschreibung

Define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. Design and implement data solutions by defining database physical and virtual structures and functional capabilities, security, back-up, and recovery specifications; Perform data modeling, data architecture map, data governance for data at rest; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Ensures that an organization follows a formal data standard and that its data assets are in line with the defined data architecture and/or with the goals of the business; Maintains metadata registry, oversees data management, optimizes databases and/or all data sources; Forward looking to future data management techniques and processes.

Responsibilities will include:

• Tracking the state of data that is used for Enterprise Gap & Common reports
• With multiple go-lives, and usage of 1Enterprise Mx and legacy data, how to ensure right data is used
• Capture and track the legacy & Enterprise models and the associated data
• As we work through transitional architectures confirm the correct data is used.
• Tracking of data needs from the legacy end-user data platforms
• Ensure data is fit for purpose, and the correct data is retained
• Ensure the data customizations from legacy environments are dispositioned
• Transformation of legacy to Enterprise data models
• Building data catalogs
• Ensure people understand the meaning and purpose of Enterprise and Business Area data
• Data Retention & Records Management Compliance
• Working with Records Managers to compliance of Enterprise data solution

Basic Qualifications:

• Past work experience with Data Governance for an enterprise business transformation
• Ability to work across a federated data governance team
• Prior work experience performing in an agile environment
• Productively working with a diverse set of skills

Desired Skills

• Data Governance experience to include Data Stewardship, Oversight, Compliance, and Risk / Issues
• Data Governance tasking to at least include Coordination, Data Cataloging, Data Lineage, Analytics / Data Warehouse tracking, Data Quality, and Data Quality
• Tracking the inventory and usage of data through an enterprise modernization transformation