Lead Analyst BI & Analytics

Minneapolis, Minnesota, United States
Mar 17, 2017
Jun 29, 2017
Employment Status
Full Time
Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals.  As a Lead Analyst BI&A, you'll take the lead as you…
  • Interface with the Target business representatives to validate business requirements/requests for analysis and present intermediate and final analytical results. 
  • Works with main clients and project and business leaders to identify analytical requirements. Defines the statistical scope of the project and verifies it with clients, leaders and peers.
  • Determine best method to gather, model, manipulate data.
  • Performs statistical analysis to support business needs. Designs, develops, and delivers analytical solutions, resulting in decision support or model recommendations.
  • Works with Data Science and Engineering teams on analytical methodologies and approaches to migrate into core development engines and production solutions. 
  • Builds visualizations of results and report requests consistent to clearly articulate outcomes to business users at all levels
  • Communicates to share knowledge and findings. Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability. 
  • Documents analytical methodologies used in the execution of analytical request projects. Translates scientific methodology to business terms, providing guidance and assistance to others in translation.
  • Masters preferred, BA/BS required. Quantitative degree preferred (e.g. math, operations research, statistics, engineering)
  • 5-7 years relevant experience
  • Deep programming knowledge
  • Excellent problem solving and analytical skills
  • Exposure to large data sets
  • Very strong Technical coding skills + Engineering Knowledge and Skills
  • Technical acumen of best method practices
  • Experience/Exposure to: Visualization techniques, Coding, business consulting, Database Architecture, Data Mining, Collaboration, Ability to use the various tools we are engaging: (SQL, Python, Hadoop, GAMS, GitHub, HipChat, DB2 Host, Teradata Studio, R Studio, DataStream, Domo, Tableau)

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