SQL BI and Analytics Consultant (Whitestone)

Employment Type

: Full-Time


: Information Technology

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BI and Analytics Consultant - Analyst 2
The consultant shall work with the Data Analytics team and the various stake holders to understand the decision making needs and construct measures to support business decision making. The following descriptions and deliverables shall apply:

Role: Understand the decision making needs of the business and construct measures to support data driven solutions. On a regular basis, conduct analysis and translate learnings to address business questions.

Deliverables: The candidate will be responsible for the following: Evaluate, understand and enhance the decision making needs of the business. Construct measures to support business decision making. Identify, parse and analyze transactional data and information from existing sources to allow tracking for measures. Identify gaps and engineer data for regular reporting and analysis of measures. Identify areas untapped by regular reporting to enhance business processes encouraging continuous improvement.


Minimum of two (2) years of recent experience working in a Data Analytics and/or Data Engineer role helping business uncover the value of data driven decision-making. Experience analyzing large volumes of complex transactional and analytical data sets using Macros and Pivot Tables in Microsoft Excel. Exceptional critical thinking and problem solving skills. Superior proficiency with building, processing and analyzing SSAS Cubes. Skills finding patterns and relationship between large volumes of disconnected data. Experience determining measurement approaches to address a particular business problem. Experience pre-processing transactional data and aggregation for rapid analysis and insight. Developed analytics agenda, and build data structures and tools to serve the business. Experience with complex visualizations using Power BI with DAX and/or Tableau. Superior SQL and Excel skills.

DESIRABLE SKILLS/EXPERIENCE: - Certified Azure Data Engineer. Experience working with Azure Data Lake, Data Factory, and SQL Database environment. Experience with models built with R or Python. Developed measures applying mathematical and statistical principles.

- provided by Dice
Associated topics: business, business advisory, business analysis, business systems analyst, information technology consultant, market, sales, sap, senior consultant, support analyst

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