Analytics Design Director

BI WORLDWIDEEdina, MN
4h$125,000 - $140,000Hybrid

About The Position

At BI WORLDWIDE, we are committed to creating belongingness, where D&I is a priority. We invite you to join us as we continue to expand our culture of inclusivity, collaboration, and authenticity together. We work a hybrid model (3 days in the office and 2 days work from home); this position is located in our Minneapolis Metro headquarters. Our Decision Sciences team is seeking a talented Analytics Design Director to join their team; this is an individual contributor role. This role will be an Analytics subject matter expert who uses their expertise to guide internal and external clients through business strategy discussions and designs analytic solutions to address business needs.

Requirements

  • Bachelor's Degree in Data Science, Math, or Statistics (Master's Degree is preferred).
  • 7+ years of experience in conducting Analytics, Statistical Modeling, and/or Insights projects.
  • 3+ years experience in consulting with customers, designing analytic solutions that address client business issues.
  • Demonstrated consulting skills -- ability to build personal credibility.
  • Expertise in designing and conducting data analysis / data modeling projects.
  • Practical knowledge of analytical modeling techniques and statistics.
  • Business acumen - ability to apply insights to client business issues.
  • Strong communication and presentation skills.
  • Team player.
  • Strong interpersonal skills.
  • Effective time management skills.
  • Experience writing compelling proposals.

Nice To Haves

  • Master's Degree is preferred

Responsibilities

  • Demonstrating an empathetic, customer-driven attitude.
  • Conducting discovery meetings with clients and Account Teams to understand client business issues.
  • Identifying opportunities to support customers leveraging data analytics.
  • Designing and developing proposals using analytic methodologies that meet client needs.
  • Effectively communicate solution design to customers, internal stakeholders, and data analysts.
  • Implementing appropriate Decision Sciences products and services.
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