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Data Analyst - Local to Tampa Bay Area
Job
Noblesoft Solutions Inc.
Saint Petersburg, FL (In Person)
Full-Time
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Job Description
Local to Tampa Bay Area for hybrid onsite model at St Petersburg, FL No C2C, On W2 only
Knowledge of:
Foundational data quality principles and how they contribute to fit for purpose data.- Data development lifecycle - requirements, source analysis, data design, ETL development, test & validation, deployment, monitoring & operations, governance & stewardship
- Concepts, principles and practices of internal controls and data management and governance.
- Principles of banking, finance and securities industry operations, and familiarity with accounting and finance related topics.
- General familiarity with risk and control framework of Category IV financial institution.
- Concepts of business analytics and familiarity with business intelligence tools such as Python, Tableau, Qlik, MS Power BI, MS Teams, SharePoint, etc.
- Experience in using data gap remediation and data quality monitoring tools (particularly Microsoft DevOps (TFS), Ab Initio, Collibra, IBM InfoSphere or Informatica Data Quality) is a plus.
- Familiarity with Federal Reserve Bank (FRB) and/or Office of the Comptroller of the Currency (OCC) regulatory requirements or other regulatory bodies is a plus.
Skill in:
- Hands-on expertise in leveraging Domain Specific Languages such as SQL to retrieve, combine and manipulate large data sets.
- Deep understanding of enterprise data management concepts, principles and current industry practices.
- Strong soft skills in collaboration, facilitation, coordination, logistics, presentation, marketing, and excellent communication skills (both written and verbal).
- Experience delivering data quality improvements in a complex, transforming, multi-national banking environment.
- Organizational and planning skills, showing an ability to operate in a multi-geography, matrix organization; managing and where necessary leading activities through cross-functional teams, with the discipline to track delivery of complex deliverables over multiple months.
- Excellent communication skills (both written and verbal), including the ability to present complex concepts and strategies successfully.
- Demonstrated strong execution capabilities and entrepreneurial mindset to go above and beyond delivering core responsibilities. Ability to
- Analyze, problem-solve and prioritize
- Demonstrate strong analytical thinking and autonomy in translating problems into efficient, executable solution
- Understand data models and taxonomies, with deep skills in data quality, controls and remediation
- Produce and articulate meaningful data quality metrics and KPIs
- Help drive data quality strategy and foster data culture across the organization