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 with every other Friday off. Responsibilities: - Develop complex data models as the back-end engine for front-end visualizations. - Collaborating 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 PowerBI and other Microsoft based technologies. A broad experience in data visualization and reporting technologies is preferred. - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems. - Skills include 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, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL 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 (includes finding a relationship among seemingly unrelated events).
