Data Analyst

4 weeks ago

Sterling Heights, Michigan, United States National Rural Utilities Cooperative Full time
Job Title: Data Analyst

We are seeking a highly skilled Data Analyst to join our Utility Pricing, Policy, & Analytics team at National Rural Utilities Cooperative. The successful candidate will provide data analytic services to support electric utility rate-making, policy, and regulatory advisory consulting services for our member systems.

Key Responsibilities:

  • Provide data analytics, data science, and artificial intelligence/machine learning support and services to support cost of service studies, billing analysis, and in developing specialty rates.
  • Responsible for calculating metrics used in monthly and ad-hoc reporting.
  • Translate complex AMI electric meter data into key strategy insights and valuable actions using data analytics, data science, and artificial intelligence/machine learning techniques and programming.
  • Process, cleanse, and verify the integrity of large data sets used for analytics.
  • Perform data exploration and data mining to support business cases and guide strategic initiatives.
  • Discover business narratives from the data and create business intelligence dashboards, visualizations, and/or other analytics reports describing narratives and offer actionable recommendations well-supported by analytical models and data that address business needs or that resolve impediments.
  • Enhance data collection procedures to include information that is relevant for energy analytic systems.
  • Create automated analytics systems and managing its performance.

Requirements:

  • Bachelor's degree in Economics, Computer Science, Data Analytics, Statistics, Mathematics, or related degree.
  • 3 years of data analytics, data science, or machine learning experience.
  • Experience with electric utilities preferred.
  • Data-oriented with the ability to think quantitatively.
  • Advanced Microsoft Excel skills.
  • Advanced BI software skills e.g., Tableau, PowerBI, Alteryx.
  • Excellent data mining skills using programming languages like Python, R, and SQL.
  • Understanding of basic statistical and predictive modeling and analysis and experiment design.
  • Understanding of emerging technology, including artificial intelligence, machine learning, and neural networks.
  • Ability to identify unique opportunities to collect new data and strategize new uses for data.
  • Strong written and verbal communication skills.
  • Knowledge of electric utility industry.
  • Ability to use standard business equipment.

We offer a comprehensive benefits package that includes hybrid work options, annual incentive opportunities, an employer-paid pension plan, 401(k), medical, dental, and vision insurance, a generous leave policy, onsite gym, and more-all in a friendly, professional work environment.

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