Business Analyst

Location: Grand Rapids, MI, United States · Hybrid

Are you passionate about transforming data into meaningful business insights? We're seeking a strategic Business Analyst to support our Quality team. This person will convert complex information into compelling narratives that promote operational excellence throughout a dynamic supply chain environment.

In this role, you'll support our quality organization by working with cross-functional leaders to identify key business metrics. You will develop impactful dashboards and visualizations and uncover opportunities to improve performance. You will analyze large datasets to identify trends, solve business challenges, optimize processes, and support data-driven decisions. Your skill in translating technical findings into clear, actionable recommendations will help build business strategy and operational success.

The ideal candidate combines strong analytical expertise with outstanding communication skills, bringing experience in supply chain operations, data storytelling, continuous improvement methodologies, and business partnership. If you enjoy solving complex problems, influencing decisions through data, and driving meaningful change, we'd love to hear from you!

At Dematic and KION, our talent is key to creating the magic of supply chain solutions. As part of a global community of communities, you’ll help orchestrate intelligent logistics that power the future of commerce. Here, you can push your career forward in an environment built on collaboration, growth, and real-world impact. Push it Forward — apply today.

We are unable to provide visa sponsorship, transfer, or support for this position now or in the future. Candidates must be currently authorized to work in the country of employment on a permanent basis.

We offer:

• Career Development

• Competitive Compensation and Benefits

• Pay Transparency

• Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The base pay range for this role is estimated to be $84,750 - $124,300 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills

Tasks and Qualifications:

This is What You will do in The Role:

• Identify relevant data sources and assist in analyzing data quality and applicability.

• Data Transformation: Clean, manipulate, and structure large datasets for analysis.

• Visualization & Storytelling: Build compelling visualizations and presentations to convey complex findings.

• Collaborate with department/function experts to define important metrics, visualizations, and dashboards.

• Identify and implement ways to optimize data collection, storage, and analysis efficiency.

• Track, maintain, and provide current information on the operation's business scorecard.

• Share knowledge and collaborate cross-functionally to achieve project goals.

What We Are Looking For:

• Bachelor's degree or equivalent experience in Statistics, Mathematics, Computer Science, or a related field (Master's or equivalent experience preferred).

• Four+ years of experience as a data analyst, including managing projects and working with cross functional team.

• Experience in data storytelling and simplifying complex information into clear ideas.

• Statistical analysis, predictive modeling, and experience with Big Data technologies (desired).

• Excellent written and verbal communication skills, ability to tailor presentations for diverse audiences.

• Familiarity with enterprise data pipelines and warehousing.

• Demonstrated ability to think critically about data and identify trends and anomalies.

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