Why This Role Stands Out
You'll thrive in this remote Data Governance Analyst role by contributing to critical enterprise-wide initiatives within a reputable financial services firm, gaining valuable experience in data lifecycle management and advanced Azure technologies. This position is ideal for a detail-oriented professional with strong analytical and collaboration skills looking to expand their expertise in data governance and compliance. Apply today to leverage your skills and grow your career from the comfort of your home.
Quick Overview
Job Description
A financial servics firm is seeking a new Data Governance Analyst to support enterprise data governance initiatives in a remote setting.
About the Opportunity:
- Shift: Day shift
- Schedule: Monday to Friday
- Hours: Standard business
- Setting: Remote
Responsibilities:
- Support enterprise data governance initiatives focused on secure and permanent data deletion
- Partner with business and technical stakeholders to develop and implement data deletion controls and governance processes
- Perform dataset discovery, inventory, and metadata management across Azure data environments
- Analyze data and processes to identify gaps, risks, and opportunities for improved governance and compliance
- Coordinate project activities, track deliverables, and communicate status, risks, and dependencies to stakeholders
Qualifications:
- Experience with data governance, data management, data controls, data privacy, or data lifecycle management
- Hands-on experience with Databricks, Azure Data Lake Storage, Delta Lake, Azure Data Factory, SQL, Python, and PySpark
- Experience developing and executing test plans and validating data controls
- Ability to collaborate effectively with both technical and non-technical stakeholders
- Strong organizational skills with the ability to manage multiple priorities and deliverables in a project environment
- Strong data analysis, communication, and project management skills
Desired Skills:
- Experience with secure data deletion initiatives
- Background in financial services or enterprise data environments
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