Data Analytics Manager: Governance & Insights Lead

Schweitzer Engineering Laboratories, Inc.; Pullman (WA); On-site; USD 136,000 - 147,000; Full time

Benefits offered by this job

ESOP

Healthcare

401(k) options

Paid holidays

Paid vacation

Job summary

Schweitzer Engineering Laboratories, Inc. seeks a Data Analytics Manager to transform data into actionable insights that improve products and processes.

You will lead a team of Data Analysts, partner with Data Engineers and Data Scientists, and champion data governance and self-service reporting across Manufacturing, Engineering, Quality, and Information Services. You will drive predictive analytics, statistical process control, and AI-enabled decision support while coaching others in data

Qualifications

• Experience leading analytics teams and projects.
• Ability to influence stakeholders and drive data-informed decisions.
• Experience developing semantic models and reporting solutions.
• Strong communication and project management skills.

Responsibilities

• Lead, mentor, and develop a team of Data Analysts.
• Oversee analytics projects and reporting initiatives with high-quality deliverables.
• Partner with business leaders to identify data-driven improvements.
• Establish data governance, data integrity, and trusted datasets.
• Expand self-service reporting and governed data products.
• Collaborate with Data Engineers and Data Scientists on advanced analytics.

Skills

Leadership

Data governance

Stakeholder influence

Statistical techniques

Data literacy

SQL

Python

R

Mentoring

Education

Bachelor's degree in Math, Statistics, Data Science, or related

Master's degree or higher in Math, Statistics, Data Science, Analytics, or related

Tools

Power BI

Microsoft Fabric

Azure data platforms

Job description

Schweitzer Engineering Laboratories, Inc. seeks a Data Analytics Manager to transform data into actionable insights that improve products and processes.

You will lead a team of Data Analysts, partner with Data Engineers and Data Scientists, and champion data governance and self-service reporting across Manufacturing, Engineering, Quality, and Information Services. You will drive predictive analytics, statistical process control, and AI-enabled decision support while coaching others in data