Data Analytics and Business Intelligence Analyst

INL•Idaho, ID

9h•$57,444 - $136,356•Onsite

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. 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). Minimum Requirements\: Level 1- B achelor of Science degree in Data Science or closely related field. Experience in data science, data analysis, and data analytics tools such as Pyt h on 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 Pyt h on R, SQL. Job Information\: The pay range for this position is\: Level 1 ($57,444 -$112,068) / Level 2 ($66,504 - $136,356). At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials. Multi-Level\: This is a multi-level posting and you will be placed at the appropriate level dependent on depth and breadth of proven experience and skills. Physical Requirements While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard, and 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 the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Benefits and Relocation 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 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 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. Selective Service Requirements To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov. Equal Employment Opportunity Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Reasonable Accommodation We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Other Information When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration. INL does not accept resumes from third party vendors unsolicited.

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- B achelor of Science degree in Data Science or closely related field. Experience in data science, data analysis, and data analytics tools such as Pyt h on 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 Pyt h on R, SQL.

Nice To Haves

A broad experience in data visualization and reporting technologies is preferred.

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.
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.