Data Analytics and Business Intelligence Analyst

Overview

Does a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you are looking for!

Idaho National Laboratory (INL) is seeking forward-thinking professionals interested in exploring a career as a Data Analytics and Business Intelligence Analyst
. Our team works onsite in Idaho Falls with a 9x80 schedule and every other Friday off.

• Develop complex data models as the back‑end engine for front‑end visualizations.
• Collaborate with a diverse data analytics reporting team to contribute to the design and implementation of analytics reporting capabilities at the Laboratory.
• Data reports will primarily be designed and delivered using Power
  
  BI and other Microsoft‑based technologies. A broad experience in data visualization and reporting technologies is preferred.
• Identify complex problems, review related information to develop and evaluate options, and implement solutions.
• Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
• Data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling); data analysis and visualization software (e.g., Domo, Looker, Power
  
  BI, Qlik, Tableau, SiSense); object‑oriented programming languages (Java, Python, R, Ruby, Scala, C++); and/or data engineering skills (relational or No
  
  SQL databases, ETL tools).
• Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
• Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
• Ability to understand data structures.
• Ability to work with data science platforms and software (e.g., Jupyter Notebook, Databricks, R, Python, Matlab, SAS, etc.).
• Ability to apply general rules to specific problems to produce answers that make sense.
• Ability to combine pieces of information to form general rules or conclusions, including finding relationships among seemingly unrelated events.

• Level 1:
  Bachelor of Science degree in Data Science or closely related field. Experience in data science, data analysis, and data analytics tools such as Python, R, SQL.
• Level 2:
  Bachelor of Science degree in Data Science or closely related field and 2 years of experience, or Master of Science degree. Experience in data science, data analysis, and data analytics tools such as Python, R, SQL.

• The pay range for this position is Level 1 ($57,444 – $112,068) / Level 2 ($66,504 – $136,356). Compensation decisions are determined using factors such as education, relevant experience, and other credentials.
• Multi‑Level: This posting is multi‑level; placement will be at the appropriate level based on depth and breadth of proven experience and skills.

The employee frequently must stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, type, reach with hands and arms, and operate job equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

• Medical, Dental, Vision, and Flexible Spending Accounts
• 401(k) with a 4.2% employer contribution and up to 4.8% match
• Paid time off (personal leave)
• Employee Education Program (tuition assistance)
• Comprehensive Relocation Package
• Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1‑B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL Mission:
Our mission is to discover, demonstrate, and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.