Data Analyst

HAVIChicago, IL
Hybrid

About The Position

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. The Data Analyst role is for a talented and motivated individual who will drive excellence in supporting the existing Data Management team in streamlining data processes. This role is responsible for the mapping, identification of opportunities, and automation of processes to improve data workflows and generating insights from data for the North America Supply Chain division. It involves collaborating with onshore and offshore Data Management, Data Science, Product Management, and other functional Supply Chain teams. The role includes mapping current value streams, identifying improvement opportunities, generating insights, BI Reporting, and disseminating findings to all levels of the organization. This role provides the opportunity to influence thinking on how data should be managed, build trusted partnerships with clients, and provide consultative and advisory services. The individual must be current on trends and developments in the market with an eye on bringing new advancements into the portfolio of solutions. This role will be part of the North America Supply Chain’s Analytics & Insights team. This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area.

Requirements

  • Degree in Engineering, Computer Science, Business, Analytics, or a closely related field
  • 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

Nice To Haves

  • Masters in Analytics or related field is highly preferred
  • 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

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 finding 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

Benefits

  • Inclusive employee resource groups
  • Generous medical, dental, vision and other great benefits
  • Paid parental and medical leave programs
  • 401(k) with a company match component and profit sharing
  • 15 days of paid time off plus company holidays
  • Hybrid work model with flexibility
  • Tuition reimbursement and student loan repayment assistance
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