Senior Data Analytics Lead - Supply Chain Insights

Quest Global; Grand Rapids (MI); Hybrid; USD 62,000 - 68,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Quest Global in Grand Rapids, MI seeks a Data Analyst to mine, analyze, and transform complex datasets into actionable insights that drive decision-making. You will design data solutions, create visualizations, and present findings to stakeholders, helping KPIs and dashboards come to life.

The role requires 7+ years of analytics experience, a strong foundation in statistics, data storytelling, Design thinking, and Lean thinking, with a hybrid work arrangement and travel around 10% as needed.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related field.
• Lean Six Sigma training and certification, Greenbelt/Blackbelt preferred.
• Experience with Big Data technologies is desirable.

Responsibilities

• Identify relevant data sources and assess data quality and applicability.
• Data transformation: clean, manipulate, and structure large datasets for analysis.
• Visualization and storytelling: create visualizations and presentations to convey findings.
• Collaborate with stakeholders to define KPIs, visuals and dashboards.
• Identify ways to optimize data collection, storage, and analysis efficiency.
• Track and maintain the operation's business scorecard.
• Share knowledge and collaborate cross-functionally to achieve project goals.
• Other responsibilities as required.

Skills

Data storytelling

Design thinking

Lean thinking

Big Data

Statistical analysis

Predictive modelling

Data pipelines

Data warehousing

Communication

Critical thinking

Supply chain

Education

Bachelor's degree in statistics

Master's degree preferred

Job description

Quest Global in Grand Rapids, MI seeks a Data Analyst to mine, analyze, and transform complex datasets into actionable insights that drive decision-making. You will design data solutions, create visualizations, and present findings to stakeholders, helping KPIs and dashboards come to life.

The role requires 7+ years of analytics experience, a strong foundation in statistics, data storytelling, Design thinking, and Lean thinking, with a hybrid work arrangement and travel around 10% as needed.