Data Analytics & Business Intelligence Analyst

Description

Idaho National Laboratory is hiring a Data Analyst to work on our Materials and Fuels Complex team.

This position is located at our Materials and Fuels Complex, which hosts the core of the U.S. nuclear research and development capabilities with a diverse array of facilities designed for remote work on highly irradiated fuels and materials. A new fuel idea can be designed, fabricated, tested, and analyzed at MFC to better understand the effects of irradiation. Many groups, such as universities, industry partners, other national laboratories, international research organizations, and other federal agencies are working  team works a 4x10 schedule with every Friday off.

• Build and sustain robust data collection, analysis, and evaluation strategies aligned with industry best practices for new and existing Talent Development programs.
• Guide non-technical stakeholders through the process of identifying the program goals into strategic measures demonstrating impact.
• Partner with program managers and channel leads to define meaningful outcomes before programs launch when possible.
• Leverage available data, such as end-of-course feedback, follow-up data, program participation, individual competencies to refine existing programs and ensure alignment with lab priorities.
• Work with customers to identify requirements and model data and/or complex visualizations that meet customer needs for the building of dashboards and reports.
• Design, develop, implement, and maintain data models, data marts, and other data deliverables, leveraging many different data sources.
• Proactively identify and surface relationships between development activities and key organizational outcomes such as retention, career progression, safety performance, and succession readiness.
• Conduct ROI studies on strategic programs to quantify return, inform investment decisions, and evaluate alignment of development solutions with business outcomes.
• Translate evaluation data into actionable insights and recommendations that influence program design, continuous improvement, investment decisions, and strategic priorities.
• Distill development efficiency, effectiveness, and outcome measures into executive-ready summaries to communicate impact to senior leaders and those outside of TD.
• Identify and execute opportunities to reduce manual processes in TD and areas where AI or automation could support TD or lab populations and prioritize high impact projects.
• Develop action plans based on evaluation results and regularly follow up on progress, leading change management initiatives as needed.
• Mentor/educate colleagues on evaluation methodologies and analytical strategy.

• Development experience in PowerBI, Tableau, SQL, agentic AI.
• Ability to design assessments, surveys, and measurement frameworks aligned with business outcomes.
• Technical literacy and the ability to learn new tools, troubleshoot independently, and figure things out without step‑by‑step instruction.
• Ability to communicate with technical and non‑technical audiences, shifting context for both.
• Excellent communication and collaboration skills to work effectively with stakeholders.
• Analytical skills to interpret data, identify patterns, and derive actionable insights.
• Attention to detail and ensures data is accurate and aligned with reporting standards.
• Able to prioritize activities and resolve complex technical problems.
• Self‑motivated and able to take the lead for timely resolution of issues.
• Ability to influence without authority, ask the right questions, and drive alignment across diverse stakeholders.
• Ability to adapt to changing priorities and manage multiple evaluation projects simultaneously.

• Level 2 – Bachelor’s degree in data analytics, statistics, human capital analytics, education, organizational development, or a related field and 2 years of relevant experience or a Master’s degree in data analytics, statistics, human capital analytics, education, organizational development, or a related field.
• Level 3 – Bachelor’s degree in data analytics, statistics, human capital analytics, education, organizational…