Talent Bridge: Data Analytics & Business Intelligence Analyst

Talent Bridge: Data Analytics & Business Intelligence

Location: Research Engineering Campus, Idaho National Laboratory

Schedule: 9-80s with every other Friday off

Program Duration: 12 months, with a potential 1-year extension.

Position Overview

Idaho National Laboratory (INL) is seeking a motivated Data Analyst to support the Environment, Safety, Health & Quality (ESH&Q) Process and Data Systems team through the Talent Bridge program. This role offers a unique opportunity to apply data science, analytics, and visualization techniques to enhance the systems, processes, and insights that help ensure a safe, compliant, and high-performing work environment across INL.

As a Data Analyst, you will harness statistical modeling and analytical methods to transform complex data into actionable insights that support ESH&Q programs, operational excellence, regulatory compliance, and continuous improvement initiatives. You will work with stakeholders across ESH&Q, Information Management, and laboratory operations to understand business needs, develop technical requirements, and deliver data-driven solutions that improve decision-making and organizational performance.

Your work will support the collection, analysis, visualization, and interpretation of data related to safety performance, quality metrics, operational processes, risk management, and organizational effectiveness. Through advanced analytics and data storytelling, you will help leaders identify trends, assess performance indicators, and drive informed decisions that strengthen INL's mission of advancing nuclear energy, national security, and scientific innovation.

Essential Job Functions and Responsibilities:

• Perform statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports, and visualizations of trends and patterns.
• Work with technology organizations and business end-users to understand data and analysis needs and develop technical requirements.
• Partner with development and data management roles to identify and capture data required from internal and external sources.
• Create and maintain statistical models for ongoing and ad hoc review and analysis of data.
• Use data visualization programs, tools, and techniques to generate dashboards, reports, and presentations that aid in data storytelling, understanding, and interpretation of trends and patterns of business importance.
• May be internal or external, client-focused, working in conjunction with Professional Services and outsourcing functions. May include company-wide, web-enabled solutions.

Minimum Qualifications:

• To qualify, you must have completed your BS in a related field in Data Science or a closely related field within the last 12 months.
• Experience in data science, data analysis, and software development using C#, Java, or C++.
• Experience with cloud services and cloud-based analytics is a plus (AWS, Azure, Google Cloud Platform, etc.).

Application Requirements:

• Current Resume or CV; Proof of Graduation (diploma or unofficial transcript accepted)
• Proof of Graduation (diploma or unofficial transcripts accepted)

Program Benefits:

• Mentored environment providing post-degree work experience.
• Opportunities for professional development and training.

The ideal candidate will possess:

• Depending on the assigned directorate, may be required to obtain and maintain a Q level security clearance.
• Knowledge of Python, SciPy, Notebook IDE, PyTorch, Cuda, Natural Language Processing Techniques, Graph Databases, Relational Databases, and a general understanding of data storage and processing.

Application Requirements:

• Program Benefits: Mentored environment, professional development opportunities, accelerated knowledge transfer from retiring staff
• Review and Evaluation: Reviews at 3, 6, and 9 months. At the 6-month review, next steps are discussed (full-time transition, additional education, other opportunities)

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-related 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.

Job Information:

Idaho National Laboratory is hiring a Data Analyst to work on our ESH&Q's Process and Data Systems team. Our team works a 9x80 schedule located out of our Research and Engineering Office Building with every other Friday off.

The pay range for this position is $71,100 - $76,572. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.