Pricing Data Analyst – Hybrid (Chicago)

Lawson Products; Illinois; Hybrid; USD 60,000 - 72,000; Full time

Benefits offered by this job

Retirement benefits

Vision, dental and medical benefits

Paid holiday

PTO package

Job summary

Lawson Products, headquartered in Chicago, IL, seeks a Pricing Data Analyst - Intermediate to collect, analyze, and report pricing data, ensuring data integrity and actionable insights. The role blends statistical analysis with price modeling and collaboration with customers and suppliers.

Hybrid work includes three days at the office and two remote days. The ideal candidate has a data-driven mindset, strong Excel/Tableau/Python/SQL skills, and a track record of turning data into profitable

Qualifications

• Bachelor's degree in economics, finance, mathematics, or related field and 3 years' experience.
• Proficient with analytical tools including Excel, Tableau, Python and SQL.
• Strong data management, reporting, and presenting findings skills.
• Ability to apply statistics and communicate complex analytics clearly.

Responsibilities

• Ensures data is acquired on-time, accurate, and disseminated properly.
• Creates and maintains ongoing reports based on key business metrics.
• Interprets and analyzes results using statistical techniques.
• Develops data visualizations for business users to enable quick decisions.
• Forecasts using prediction models and analyzes pricing trends.
• Maintains pricing structure and data historically and currently.

Skills

Analytical thinking

Problem solving

Data visualization

Communication skills

Education

Bachelor's degree in economics/finance/mathematics

Tools

Excel

Tableau

Python

SQL

SAP

Job description

Lawson Products, headquartered in Chicago, IL, seeks a Pricing Data Analyst - Intermediate to collect, analyze, and report pricing data, ensuring data integrity and actionable insights. The role blends statistical analysis with price modeling and collaboration with customers and suppliers.

Hybrid work includes three days at the office and two remote days. The ideal candidate has a data-driven mindset, strong Excel/Tableau/Python/SQL skills, and a track record of turning data into profitable