Data Analytics and Business Intelligence Analyst jobs in United States
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Idaho National Laboratory · 1 day ago

Data Analytics and Business Intelligence Analyst

positionIdaho Falls, ID
timeFull-time
remoteOnsite
seniorityEntry, Mid Level
money$57K/yr - $136K/yr
date2+ years exp

Idaho National Laboratory (INL) is seeking forward-thinking professionals interested in exploring a career as a Data Analytics and Business Intelligence Analyst. The role involves developing data models, collaborating on analytics reporting capabilities, and utilizing data visualization tools to deliver insights.

BiofuelEnergyHomeland SecurityInformation Technology
badNo H1Bnote

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)

Qualification

Data analysis techniquesData visualization softwareObject-oriented programmingData engineering skillsData science platformsSQLLogical reasoningCollaborationProblem-solving

Required

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
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

Preferred

A broad experience in data visualization and reporting technologies
Experience in data science, data analysis, and data analytics tools such as Python, R, SQL

Benefits

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

Company

Idaho National Laboratory

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Idaho National Laboratory USDOE is a research laboratory focused on the development, demonstration, and deployment of nuclear energy.
dateFounded in 1949
location
Idaho Falls, Idaho, USA
people-size5001-10000 employees
web-link
https://inl.gov

Funding

Current Stage
Late Stage
Total Funding
$7.5M
Key Investors
US Department of EnergyU.S. Department of Homeland Security
2024-07-02Grant· $7.5M
2023-01-17Grant

Leadership Team

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David Teter
Deputy Laboratory Director of Management & Operations / Chief Operations Officer
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