Mid Level Business Analytics Specialist Jobs

INTRODUCTION

Schweitzer Engineering Laboratories (SEL) is looking for a Business Intelligence & 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.

ROLE AND 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.

WHY THIS ROLE MATTERS

• You will help establish trusted data as a strategic asset across Manufacturing.
• Your leadership will enable teams to make faster, better decisions through accessible and actionable information.
• You will help align Data Analysts, Data Engineers, Data Scientists, and business stakeholders to deliver insights that improve business outcomes.
• Your team's work will improve manufacturing performance, product quality, and operational efficiency.
• You will help shape the future of analytics at SEL through data governance, self-service reporting, predictive analytics, and modern data platforms.
• Your contributions will support SEL's mission of making electric power safer, more reliable, and more economical.

BASIC QUALIFICATIONS

• Bachelor's degree in Math, Statistics, Data Science, or a related technical discipline.
• 5+ years of experience in data analysis, business intelligence, reporting, or related analytical disciplines.
• 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 with a focus on team success and stakeholder satisfaction.
• Background check and drug test results satisfactory to SEL.

PREFERRED QUALIFICATIONS

• 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.

COMPENSATION

• Pay Range:
• Data Analyst Supervisor: $107,600 - $161,500 per year
• Data Analyst Manager: $129,200 - $193,900 per year

Our compensation ranges are based on the responsibilities of the role. Starting pay is determined individually and considers factors such as relevant experience, skills, knowledge, and training. Candidates may be considered at different levels based on their background. As a result, pay may vary to align with the level of the role.

BENEFITS

People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.

• We’re 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401(k) options.
• We offer top tier medical, prescription, dental, vision, life, and disability insurance.
• We recognize the importance of a healthy life balance and offer: 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.
• We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
• Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.

COMMUNICATION WITH APPLICANTS

We communicate with all applicants. If you do not receive a response about your application, please check your SPAM filter or reach out to us at careers@selinc.com.

SEL is an Equal Opportunity Employer: Vets/Disabled.