Why this role stands out
Leverage your data analysis and BI skills in a hybrid role at a renowned manufacturing leader, contributing to impactful digital enablement projects and gaining exposure to AI applications. You'll thrive here if you enjoy transforming data into actionable insights and driving efficiency within technical teams, so don't miss this exciting opportunity to grow your career.
Quick overview
Job description
Job Title: Data Analyst, Digital Enablement
Industry: Manufacturing
Location: Wilmington, NC
Shift: 8am to 5pm, Monday through Friday
Interview Process: Initial phone screen with the hiring manager, followed by a panel interview over Teams
Client Overview
This company has been making glass, ceramics, and specialty materials for over 170 years and runs manufacturing plants all over the world. You would be supporting a technical team at one of their U.S. facilities, helping build tools and reporting that keep engineering and technical projects running smoothly.
Top 3 Skills
- Data cleaning, structuring, and reporting across datasets and dashboards
- BI and reporting tool proficiency (Power BI or similar platforms)
- Practical exposure to AI tools applied to business or technical workflows
What You'll Do
- Maintain digital tools, dashboards, and project related data
- Prepare and clean data for reporting, analytics, and AI tools
- Support process improvements that reduce manual work for project and technical leaders
- Assist with testing, rollout, and troubleshooting of reporting and automation features
- Support custom in house applications and BI reporting, including data upkeep, development, and deployment
What We Need From You
- Comfort working with datasets, dashboards, and structured reporting workflows
- Bachelors degree in a technical field preferred, or two years of relevant experience if no degree
- Demonstrated technical skills with datasets and dashboards on your resume
- Interest and exposure to applying AI in a business or technical setting
Preferred / Bonus
- Exposure to Python or SQL
- Experience with Power BI specifically
- Background in data analytics, information systems, industrial or systems engineering, operations research, or computer science
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