Data Analyst
HAVIHAVI 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. For more information, please visit HAVI.com.
A talented and motivated individual who will drive excellence in supporting the existing Data Management team in streamlining data processes.
The Data Analyst 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.
The role will involve collaborating with the onshore and offshore Data 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.
Primary 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
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