Business Intelligence & Analytics Manager

Schweitzer Engineering Laboratories (SEL) • Pullman, WA

3d • $115,300 - $147,000

About The Position

Schweitzer Engineering Laboratories (SEL) is seeking a Business Intelligence & Analytics Manager for SEL Manufacturing. The role leads a team of Data Analysts responsible for delivering trusted data, meaningful insights, and scalable analytics solutions to support organizational decision-making. The manager will advance analytics capabilities through data governance, self-service reporting, and a culture of data-informed decision-making, collaborating with Data Engineers, Data Scientists, and leaders across Manufacturing, Engineering, Quality, and Information Services.

The position oversees analytics projects and reporting initiatives, develops the team, and partners with stakeholders to create solutions that support strategic and operational goals. It establishes practices for reliable, traceable, consistent data and clear metrics; expands governed self-service reporting; and advances analytics from descriptive reporting toward predictive analytics, statistical process control, and AI-enabled decision support. The manager also coaches personnel in statistical techniques and data literacy and evaluates modern analytics technologies and processes, including Microsoft Fabric.

The role helps make trusted data a strategic asset across Manufacturing, enabling faster, better decisions and improvements in manufacturing performance, product quality, and operational efficiency. The posted compensation ranges are $115,300–$126,000 per year for Data Analyst Supervisor and $136,100–$147,000 per year for Data Analyst Manager. Starting pay is determined individually based on factors including experience, skills, knowledge, and training; candidates may be considered at different levels based on their background.

Requirements

• Bachelor's degree in Math, Statistics, Data Science, or a related technical discipline.
• At least 5 years of experience in data analysis, business intelligence, reporting, or related analytical disciplines.
• At least 1 year of leadership or supervisory experience.
• Proven ability to manage teams, priorities, and complex projects.
• Demonstrated ability to influence stakeholders, build consensus, and drive data-informed decision-making across an organization.
• Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
• Experience developing and supporting business intelligence, semantic modeling, and reporting solutions using Power BI and Microsoft Fabric.
• Exceptional analytical, judgment, organizational, and project management skills.
• Experience coaching technical and non-technical personnel on statistical techniques and data-driven decision-making.
• Strong written, verbal, documentation, and presentation skills.
• Ability to quickly learn new technologies and assume additional responsibilities.
• Collaborative mindset focused on team success and stakeholder satisfaction.
• Background check and drug test results satisfactory to SEL.

Nice To Haves

• Master's degree or higher in Math, Statistics, Data Science, Analytics, or a related field.
• Experience leading analytics, reporting, or data governance programs.
• Experience promoting data literacy and self-service analytics capabilities across an organization.
• Experience with Azure-based analytics platforms and modern data architectures.
• Experience working with predictive analytics, machine learning, or AI-enabled solutions.
• Experience supporting Manufacturing organizations.

Responsibilities

• Lead, mentor, and develop a team of Data Analysts, fostering technical excellence, professional growth, and a customer-focused mindset.
• Oversee analytics projects and reporting initiatives, ensuring high-quality deliverables aligned with organizational objectives and stakeholder needs.
• Partner with business leaders to identify data-driven improvement opportunities and develop analytics solutions for strategic and operational goals.
• Build alignment across cross-functional teams and stakeholders to advance analytics initiatives, data governance, and data-informed decision-making.
• Establish and maintain processes that ensure data integrity, traceability, consistency, and trust across reporting and analytics solutions.
• Drive best practices for defining, analyzing, visualizing, and communicating organizational metrics.
• Collaborate with Data Engineers to define trusted datasets, improve data quality, and ensure analytics solutions have a robust data foundation.
• Partner with Data Scientists on advanced analytics initiatives and identify opportunities to use machine learning and AI capabilities.
• Expand self-service reporting through reusable data products, dashboards, semantic models, and governed reporting solutions.
• Advance analytics from descriptive reporting toward predictive analytics, statistical process control, and AI-enabled decision support.
• Coach technical and non-technical personnel in statistical techniques, data literacy, and data-driven decision-making.
• Evaluate and implement modern analytics technologies and processes, including Microsoft Fabric, to improve data accessibility, reporting, and organizational decision-making.

Benefits

• 100% employee-owned company with an employer-funded employee stock ownership plan (ESOP) and personal 401(k) options.
• Medical, prescription, dental, vision, life, and disability insurance.
• 10 paid holidays.
• Annual vacation accrual starting at 12 days.
• 9 paid sick days.
• Paid family and medical leave covering 90% of pay.
• STEM courses, apprenticeships, tuition assistance, and engineering development programs.
• Wellness, fertility, adoption, and flexible spending benefits are also mentioned.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager