YOUR EXPERIENCE: Basic Qualifications:
- Bachelor’s degree
Minimum of 10 years of relevant analytics advisory experience; specifically, one or more of the Resources Industries (Utilities, Oil & Gas, Chemicals, Natural Resources (Mining, Paper, Steel)
Minimum of 5 years working in data management or analytics strategy areas
Minimum of 5 years in management consulting or consultative sales
Meet travel requirements, up to 80%
SET YOURSELF APART: Preferred Skills:
Bachelor’s degree in quantitative discipline (Strategy, Engineering, Economics, Statistics, Operations Research, Computer Science)
Masters Degree or MBA
Understanding of value based constructs
Exceptional presentation skills – ability to convey technology and business value propositions
Ability to understand and apply statistical methods and outputs to create client value in a business context
Experience with evolving approaches and technologies such as Big Data, Artificial Intelligence, Machine Learning. Solution Architecture experience using enterprise framework a plus.
Proven ability to build, manage and foster a team-oriented environment
Proven ability to work creatively and analytically in a problem-solving environment
Desire to work in an information systems environment
Excellent communication (written and oral) and interpersonal skills
Excellent leadership and management skills
Required Skills
Experience developing and auctioning annual business plans
Experience managing a sales target
Ability to originate sales and develop commercial constructs
Understanding of how to link analytics with business value to shape the business case
Understanding of analytics operating models and governance structures
Deep understanding of analytics strategy, including data management, business intelligence, and predictive analytics
Understanding of how enterprises should have a top-down approach to address their business problems
Knowledge of big data platforms, tools and applications
Expertise around strategic principles, data management and data governance principles
Understanding of analytics roles and responsibilities (e.g., data scientist)
Ability to partner with our clients to understand business problems and strategies
Ability to translate business issues into specific requirements to develop analytics solutions
Ability to interact with and influence VP and above
Ability to interpret the results of analytical insights and translate results to the client in business context to drive value
Able to explain complex concepts in non-technical language
Strong story-telling ability