Customer Information Research Analyst

Grainger Businesses • Lake Forest, IL

2d • Hybrid

About The Position

The Customer Information Analyst supports the Customer Information Strategy & Enablement team by leveraging analytics, problem-solving, and cross-functional collaboration to improve Customer Information Management (CIM) data quality and adoption. This role analyzes data across multiple systems to identify trends, gaps, and opportunities to improve CIM Organization and Location data quality and support Customer Setup initiatives. Working cross-functionally with key business stakeholders, the analyst investigates data and process gaps that impact CIM adoption and recommends solutions to improve customer information quality and usability. The role also supports the development of scalable processes and reporting, automates routine tasks, and contributes to new processes and data solutions that strengthen how customer information is managed across the organization. This position is hybrid, requiring three days per week in the office at either our Lake Forest HQ or Merchandise Mart location, and reports to the Supervisor, Customer Information Strategy & Enablement.

Requirements

• Bachelor's Degree in science, technology, engineering, mathematics or related field
• 2+ years experience working with structured data
• Experience building relationships with cross functional partners
• Experience communicating complex technical concepts clearly and concisely to both technical and non-technical audiences
• Experience researching and gathering data using internal and external sources
• Experience with statistics, basic data visualization and analysis skills: SQL required, R/Python preferred

Responsibilities

• Curate and supplement customer information company-wide by executing standardized research and audit processes. Leverage insights from data patterns and trends to improve segmentation and support strategic decision-making.
• Transform vague or loosely defined problems into clear, actionable insights by assisting with research, identifying key questions, and proposing data-informed solutions.
• Help operations leaders define software requirements for tools that will enable scaled research processes
• Assist in developing solutions and processes with a focus on maximizing team output and efficiency
• Perform quantitative analysis leveraging SQL/Python – find the relevant data, transform it into a useful format, and structure the results in a consumable way
• Communicate research outcomes to business partners with moderate guidance from leaders on how to structure presentations

Benefits

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1-10 employees