Black Hills Corporation Quantitative Analyst II in Rapid City, South Dakota

Description :

Job Specifications

SALARY RANGE: $65,800 - $85,570

Base salary is determined by the knowledge, skills and abilities of the applicant.

CLOSING DATE: This position will close on September 27, 2018.

LOCATION: Rapid City, SD


The Quantitative Analyst II will join a dynamic quantitative analytics team, playing a critical role in advancing the state of statistical forecasting, mathematical optimization, and supply chain modeling in the organization. This role will drive the development of a new suite of models, decision-support tools, and value-add services that drive decision-making, optimization, and competitive advantage across service functions and utility operations.

REPORTING RELATIONSHIP: Supply Chain Policy & Analysis Manager


  • Participates as a key member of the company’s quantitative analysts’ team on company-wide projects.

  • Performs advanced quantitative analyses and supply chain model development to drive decision-making.

  • Build econometric, statistical, and mathematical models to solve complex forecasting and pricing/revenue/resource optimization problems.

  • Design and develop new technological applications and decision support tools, including programming models and web applications in R and Python and working with information technology teams to move models/applications from prototype to production.

  • Apply principles of data engineering, including working directly with information technology teams on data warehousing and database architecture projects to support the data needs of the Quantitative Analytics team.

  • Write efficient queries and extract, clean, process, and visualize large volumes of data to derive insights.

  • Validate, test, and control standards, including testing of assumptions, computational accuracy, and documentation of model weaknesses and risks.

  • Explain model design, risks, and outputs, and interface with executive leadership to translate complex analyses into action.


  • Continuous pursuit of cutting-edge knowledge and skills in the fields of statistic, economics, operations research, computer science, and data science.


  • Finance, Accounting, and Regulatory Departments

  • Information Technology Departments

  • Utility Engineering, Operations, Gas Asset Optimization Departments

  • Continuous Improvement Team


  • Minimum 2 years of graduate-level academic or 3 years of professional experience in an Industrial Engineering, quantitative modeling, econometrics or data scientist role.

  • Minimum 2 years of experience and advanced proficiency in using statistical programming languages such as R and Python – SciPy and scikit-learn libraries.

  • Minimum 1 year of experience in database modeling and data warehousing principles with basic proficiency in SQL.

  • Highly proficient in mathematics: Calculus (differential, integral, stochastic), linear algebra and differential equations, probability and statistics

  • Familiarity with prototyping and developing applications in programming languages (Java/ C++/Python).

  • Familiarity with concepts in machine learning and simulation modeling.


  • Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics or related discipline required.

  • Master’s degree in Operations Research, Industrial Engineering, Econometrics, Computer Science, Applied Mathematics or related discipline preferred.


  • Statistical programming languages

  • Technology development lifecycle

  • Quantitative modeling design and validation

  • Statistics, mathematics, econometrics, and/or operations research

  • Interest in and basic knowledge of machine learning and big data analytics


  • Ability to thrive in a fast-paced undefined and ambiguous environment

  • Able to apply principles of the scientific method and empirical research

  • Exceptional work ethic

  • Entrepreneurial, creative, curious, and inquisitive

  • High energy

  • Strategic thinker

  • Exceptional math skills

  • Excellent problem solver

  • Ability to gain credibility of peers and executive leadership


  • Past academic or work experience on issues affecting supply chain efficiencies and effectiveness.


  • Applicant must be able to perform the essential job functions of the position with or without accommodation.

The information contained in this position description describes the general nature and level of work being performed in this job. This description is not intended to be an all-inclusive list of responsibilities, duties, and requirements for employees in this position. The incumbent is responsible for performing all duties in a safe and efficient manner in compliance with safe work procedures and safety regulations. This job description is not intended to constitute an offer or contract of employment. Job descriptions may and do change periodically. Where positions are covered by a collective bargaining unit agreement, the terms and conditions of the collective bargaining unit agreement will apply.

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