Data Analyst, Supply Chain Insights (Hybrid, Chicago)

HAVI

Chicago (IL)

Hybrid

USD 80,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision benefits

401(k) with company match

Paid time off and holidays

Hybrid work model

Tuition reimbursement

Job summary

HAVI in Chicago, IL is seeking a Data Analyst to support the North America Supply Chain Analytics & Insights team. You will map data processes, identify improvement opportunities, automate workflows, and generate insights through BI reporting.

The role collaborates with onshore/offshore teams, data science, product management, and other supply chain groups to deliver trusted data-driven guidance. 3+ years in data analysis and SQL/Python/R are expected, with a mix of dashboards and visualization

Qualifications

Degree in Engineering, Computer Science, Business, Analytics, or a closely related field.
Masters in Analytics or related field is highly preferred.
3+ years working with Data Analysis and Process Improvement methodologies.
Excellent knowledge of databases and SQL scripting.
Excellent knowledge of Python and R scripting.
Experience with statistical software as well as with reporting and visualization tools.
Good knowledge of process mapping techniques, e.g., value stream mapping.
Excellent communication and leadership skills.
Proved problem-solving and conflict-resolution ability.
Outstanding organizational skills.
Ability to build MS-Power BI dashboards.
Familiarity with the Azure ecosystem and Databricks.
Understanding of Master and Product Configuration tools, i.e., SIM and PIM, is a plus.
Understanding of Supply Chain Traceability process, i.e., EDI standards, is a plus.
Lean Six Sigma certification is a plus.
Starting Salary is $80,000-$95,000 with a 5% targeted bonus

Responsibilities

Work with business leaders and other team members to identify data driven opportunities for improvement
Collaborate with other team members to collect, synthesize, and analyze data and create relevant reports
Structure large data sets and find patterns from and insights from data
Lead the identification and automation of data workflows
Create presentations and reports using impactful graphs and other methods of visualization
Ensure deliverables are up to quality standards at the end of each sprint
Document current state and work and identify and plan the transformation journey
Help build production quality deliverables
Contribute towards thought leadership in data analysis
Ensure customer satisfaction