Decision Analytics Consultant

WhatYoullDo

• Leverage quantitative skills to derive answers to clients' ongoing business analytics and reporting questions.

• Work collaboratively with clients to ascertain the clients specific business information needs.

• Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s).

• Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis.

• Evaluate, assess and analyze the data necessary to provide solutions to the clients particular business information needs.

• Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used.

• Gain immediate familiarity with clients internal processes.

• Develop expertise within a client analytics area.

• Be available for clients during regular working hours.

WhatYoullBring

• MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute.

• Strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA

• High motivation, good work ethic, maturity and personal initiative

• Aptitude for, and enjoyment of, leading and managing teams.

• Effective oral and written communication skills that enable personal impact with senior-level decision makers.

• Strong attention to detail, with a quality-focused mindset

• Analytic problem-solving skills, with a creative and innovative outlook

• Client service orientation

How youll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Hybrid working model:

Flexible and Connected