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Business and Information Technology Job Detail:

Data Analyst II
Wayzata, MN     
Job Description:

Job Description:
Humera is seeking a Data analyst for our client in Wayzata, The person is this role will Analyze and Deliver New Reporting Request, Support FIBI Commercial Excellence NA's Shared Sales, Create and Troubleshoot Advanced Reporting/Data Solutions while improve Data Integrity. This is a short-term contract opportunity!

Responsible for successfully collecting, cleaning, loading, and reporting each month for FIBI Commercial Excellence NA.
Collect quarterly Global data on top Enterprise Accounts.
Assist in developing and implement new scorecards.
Partner with key stakeholders across the organization to identify Business Intelligence needs, analyze requirements, and provide proposals for reasonable and feasible solutions.
Help implement and maintain the solutions.

Bachelor's Degree
Strong analytical and decision making skills
Ability to quickly learn and effectively navigate the organization
Ability to take initiative and operate in ambiguous situations
Self-motivated to problem solve with little direction
Hard working and driven to achieve deadlines
Highly detail oriented
Ability to travel up to 5%
Ability to handle confidential information
Proficient with complex Excel formulas and Pivot Tables
Extensive computer work is required

Preferred Qualifications:
2 + years of full-time Business experience
Bachelor's degree in MIS, Accounting, Economics, Computer Science or Finance
Experience with query writing (SQL), report writing (Business Objects), MS Access, Alteryx
Ability to understand business requirements and identify data patterns, trends and risks
Experience leading, organizing, and presenting at meetings
Comfortable working with complex data: relationships, analysis, support, ERD diagrams
Experience with educating and training others and/or helping clients and customers with using data and reporting to solve problems
Understanding of advanced reporting, business intelligence, database querying and data warehousing concepts

Application and details at:


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