Job Description

Job Title: Data Management Analyst
Location: Minneapolis, MN (On-Site Required)
Duration: 6 months

Job/Role Description:

• Covers jobs that drive oversight, governance, and management of critical data to support business needs, initiatives, and strategies.
• Consult with data product, data integrity, technology, and business partners to set standards, policies and practices for data flow, data framework, data access, documentation, quality and remediation.
• Consult as an expert to develop or influence initiatives and resources for highly complex business and technical needs across Data Management.
• Consult on the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, and advanced analytical and inductive thinking.
• Provide expertise to senior leadership on innovative Data Management business solutions.
• 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.

Required Qualifications

• 7+ 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.
• Must have experience requirements gathering and data analysis.
• Needs to be a self-starter.
• Ideal candidate will be someone who has a strong understanding of the requirements analysis lifecycle, Data analysis, Financial experience and strong foundational RDBMS expertise. The emphasis is on business and data analysis, as opposed to a technology skillset (developers, DBS, etc.).
• Work effort coordination/management experience, current process assessment and improvement experience.
• Experience writing business requirements as JIRA stories, working in agile environment.
• Strong data profiling and data analytics.
• Strong SQL writing experience (joins, unions, sub-queries).
• Experience understanding pseudo SQL code and reverse engineer them to write tech requirements.