SQL Data Management Analyst
3 weeks ago
Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 6 Months
Required Skills & Experience 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. Candidates must have experience requirements gathering and data analysis. Must be a self-starter who has led requirements sessions. Strong understanding of the requirements analysis lifecycle, Data analysis, Financial experience and strong foundational RDBMS expertise. Work effort coordination/management experience, current process assessment and improvement experience. Experience writing business requirements as JIRA stories. Experience working in Agile Scrum & Kanban environments. Strong data profiling and data analytics Strong SQL writing experience (joins, unions, sub-queries) Experience understanding pseudo SQL code.
What You Will Be Doing Consult on complex initiatives with broad impact and large-scale planning for Data Management. Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Additional responsibilities may include data management, data lineage/metadata, data controls; experience in data control governance; data defect/issue/deficiency remediation; documenting data flows/process flows.
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