Data Analyst

About HAVI HAVI, part of Morgan Street Holdings, a Chicago-based company and private investment group, is a global leader in integrated supply chain management for the food industry, providing end-to-end solutions for retail, quick-service restaurants (QSR), and food service (FSR) in over 30 markets. Our comprehensive services include freight management, distribution and warehousing, planning and analytics, and waste and recycling solutions. Designed to enhance operational efficiency and reduce complexity, our solutions empower businesses to focus on their customers while we take care of the logistics.

HAVI

SUPPLY CHAINLOGISTICSSOURCINGDIGITAL SUPPLY CHAINFREIGHT MANAGEMENTANALYTICSSUPPLY CHAIN VISIBILITYCATEGORY MANAGEMENTFOOD SERVICE LOGISTICSCOLD CHAIN

H

havi.com

10,001+ employees

Holding Companies

Chicago, Illinois

Privately Held

56k LinkedIn followers

• opportunities, and automation of processes to improve data workflows and
• generating insights from data for the North America Supply Chain division.
• Management team, the Data Science team, the Product Management and other
• functional Supply Chain teams. It includes the mapping of current value streams,
• identification of improvement opportunities, generation of insights, BI
• Reporting, and disseminating the finds to all levels of the organization. This
• role will involve collaboration with external and internal customers.
• This role provides the opportunity to influence our thinking on how data should
• be managed. This person must be able to build a trusted partnership with our
• clients and provide consultative and advisory services as needed.
• Be current on trends and developments in the market with an eye on bringing new
• advancements into our 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. Relocation assistance is not
• offered at this time.
• 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

• 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
• Our total rewards philosophy integrates programs for compensation, benefits,
• recognition, learning and development, corporate culture, corporate citizenship
• and work-life balance. While individual program components may differ by
• Opportunities to work with talented and driven individuals at every level of
• our company who respect each other, treat each other fairly and hold one
• another accountable for our customers’—and our company’s—success

• Tuition reimbursement and student loan repayment assistance
• HAVI does not accept agency resumes submitted by third-party vendors unless a
• valid agreement has been signed and the HAVI Talent Acquisition Team has granted
• authorization for submissions for a specified position. Please do not submit or
• forward resumes to our site, HAVI employees, or any other company location. HAVI
• Please submit an online application with your salary expectations and an
• indication of your earliest starting date.