Senior Enterprise Data Analysrt

Senior Enterprise Data Analysrt

Job Title: Senior Enterprise Data Analysrt
Contract Type: Permanent
Location: Naperville
Salary: US$50000.00 - US$70000.00 per annum
Reference: HQ00061859_1504900169
Contact Name: Emma Hage
Contact Email:
Job Published: September 08, 2017 20:49

Job Description

Primary Responsibility:
The Senior Enterprise Data analyst is an essential member of the Enterprise Data and Analytics team. The Senior Analyst is responsible for providing data and analytical services in support of the Enterprise Data team. The Senior Analyst's primary objective will be to gather and assemble data from multiple internal and external data sources; then providing output in the form of traditional business intelligence or action oriented business insights. The Senior Analyst will provide services primarily to the Merchandising Solutions group; delivering product assortment, vendor, and customer analysis and insights. As with all positions at KeHE, we expect that all actions will be consistent with the companies Mission, Vision, and Values.

Minimum Skills or Qualifications:
Bachelor of Science in Business Analytics, Computer Science, or related field
Microsoft Excel Intermediate Excel skills. Requires knowledge of Pivot Tables and Vlookup
Microsoft Power BI & DAX (Data Analysis Expressions)
Microsoft SQL Server, SSRS, & SQL
1 year of experience in a Business Analyst role
Time management skills to prioritize multiple tasks
Ability to work well under pressure

Desired Skills or Qualifications:
Master's Degree in Business Analytics, Predictive Analytics, Data Science, or related field
Microsoft Excel Advanced Excel skills. Requires knowledge of Excel VBA
Statistics background & Microsoft R expertise
Cognos & Cognos Report Studio experience
Azure Machine Learning expertise
3 years of experience in a Business Analyst or Data Scientist role
Solution based analytics and report development
High degree of self-motivation and dependability

Essential Functions:
Ability to define software requirements and create requirements documentation
Ability to translate software requirement's document and develop associated database data models
Ability to gather/query data from Excel, AS 400, SQL Server, Cognos, or other external data sources
Ability to create Power BI business intelligence and insights dashboards & reporting
Ability to utilize data science, machine learning, or statistics in the development predictive or prescriptive analytics
Ability to utilize Excel to combine (VLOOKUP) and manipulate (PIVOT TABLE) data into formats suitable for analysis
Effectively present findings, insights, and recommendations
Employee must be able to work independently and prioritize workload based on project plans and time lines

Lawrence Harvey is acting as an employment agency in regards to this position.
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