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Quest Global

Senior Business Analyst

grand rapids, MI

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Job description

Job Requirements

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

This position is responsible for mining, analyzing, and transforming complex datasets into actionable insights. This role will drive decision-making by designing effective data solutions, using advanced techniques, and clearly communicating findings to key stakeholders.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You will Do:

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

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

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

Collaborate with department/function experts to define KPIs, 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.

Other responsibilities as required.

What You Will Bring:

7+ years’ experience as a data analyst, including experience leading projects in supply chain businesses.

Experience with data storytelling and distilling complex information into understandable ideas.

Experience with Design thinking and Lean thinking.

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

Lean Six Sigma training and certification, Greenbelt/ Blackbelt (preferred).

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.

Pay Range: $85,000 to $95,000 per year.

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements:

We offer flexible work options, including hybrid arrangements, to support the need of the role and align with company policies. This position is located in Grand Rapids, MI and is considered a hybrid role. You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Travel Requirements:

Due to the nature of the work, 10% of travel is required.

Benefits

401(k)

401(k) matching

Dental insurance

Health insurance

Life insurance

Paid time off

Referral program

Vision insurance

Short/Long Term Disability

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Worksite address

grand rapids, MI, 49528, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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