Data Analytics and Business Intelligence Analyst
About The Position
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. 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. INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world’s energy future and secure our nation’s critical infrastructure. 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.
Requirements
- 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).
- 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 Masters of Science degree. Experience in data science, data analysis, and data analytics tools such as Python R, SQL.
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.
- 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.
Benefits
- Medical, Dental, Vision, and Flexible Spending Accounts
- 401(k) with a 4.2%25 employer contribution and up to 4.8%25 match
- Paid time off (personal leave)
- Employee Education Program (tuition assistance)
- Comprehensive Relocation Package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
101-250 employees
