Data Analysis Manager

Schweitzer Engineering Laboratories•Pullman, WA

5d•Onsite

About The Position

Schweitzer Engineering Laboratories (SEL) seeks a Data Analytics Manager who is passionate about transforming data into actionable insights that improve products, processes, and outcomes. As part of SEL Manufacturing, you will lead a team of Data Analysts responsible for delivering trusted data, meaningful insights, and scalable analytics solutions that support decision-making across the organization. In this role, you will advance SEL's analytics capabilities through strong data governance, self-service reporting, and a culture of data-informed decision-making. Working closely with Data Engineers, Data Scientists, and leaders across Manufacturing, Engineering, Quality, and Information Services, you will ensure stakeholders have access to reliable data and insights that drive operational excellence and continuous improvement.

Requirements

Bachelor's degree in Math, Statistics, Data Science, or a related technical discipline.
7+ years of experience in data analysis, business intelligence, reporting, or related analytical disciplines.
2+ years 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 with a focus 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 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 that align with organizational objectives and stakeholder needs.
Partner with business leaders to identify opportunities for data-driven improvements and develop analytics solutions that support strategic and operational goals.
Build alignment across cross-functional teams and stakeholders to advance analytics initiatives, data governance, and data-driven 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 metrics throughout the organization.
Collaborate with Data Engineers to define trusted datasets, improve data quality, and ensure analytics solutions are built on a robust data foundation.
Partner with Data Scientists to support advanced analytics initiatives and identify opportunities to leverage machine learning and AI capabilities.
Expand self-service reporting capabilities through reusable data products, dashboards, semantic models, and governed reporting solutions.
Champion the evolution of analytics capabilities 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 that improve data accessibility, reporting capabilities, and organizational decision-making, including Microsoft Fabric.

Benefits

Competitive pay.
Superior benefits.
Inspiring work.
100% employee owned.
Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.
Top tier medical, prescription, dental, vision, life, and disability insurance.
10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.
STEM courses, apprenticeships, tuition assistance, and engineering development programs.
Wellness benefits.
Fertility benefits.
Adoption benefits.
Flexible spending benefits.