
Information Technology - Data Analyst
Mindlance · Remote, FL
Strong hiring record · median 4 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
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
EEO
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Skills
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