Job Description

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

The Pricing Analytics & Modeling Analyst applies statistics, modeling, and data analysis to drive pricing and revenue decisions across the organization. He/She translates business problems into analytical solutions; pricing and optimization models; forecasts; decision-support analytics; and delivers them as working Python applications and tools that put analysis in front of decision-makers.

This position partners closely with Pricing, Sales, and Operations to turn data into recommendations that improve profitability. The role is open to an analytically minded, business-oriented candidate in the early stage of their career.

Responsibilities:

• Analyzes pricing, volume, and customer data to identify trends, risks, and opportunities, and translates findings into business recommendations.
• Develops, validates, and maintains statistical, forecasting, and optimization models that support pricing and profitability decisions.
• Applies statistical techniques (e.g., regression, hypothesis testing) to test assumptions and quantify the impact of pricing and business decisions.
• Partners with Pricing, Sales, and Operations to frame business problems analytically and deliver actionable insight.
• Builds Python applications, dashboards, and automation to deliver analysis and models to internal decision-makers, using AI-assisted development tools
• Writes and optimizes SQL queries to extract, transform, and analyze data from enterprise systems.
• Identifies and automates manual, repetitive analytical and reporting processes.
• Documents methodology and supports business users in adopting analytical tools and recommendations.
• Collaborates with cross-functional teams to align analytical solutions with business objectives and operational needs.

Qualifications:

• Applied knowledge of statistics (e.g., regression, hypothesis testing, model validation) that the candidate can apply independently
• Demonstrated experience building and validating statistical, forecasting, or optimization models
• Experience analyzing data and translating insights into business recommendations
• Proficiency in Python sufficient to read, debug, and modify code independently, and to exercise sound judgment over AI-generated code (beyond introductory coursework)
• Strong SQL skills for data extraction and analysis
• Strong analytical and business judgment with attention to detail
• Excellent written and verbal communication skills, including the ability to explain analysis to non-technical stakeholders

Preferred:

• Experience with Streamlit or similar frameworks (Dash, Flask, etc.)
• Prior experience deploying applications or building internal tools
• Familiarity with optimization methods (e.g., linear/integer programming, solvers)
• Exposure to AI/LLM concepts, including prompt-based workflows or basic agent implementations
• Experience working with large datasets in enterprise environments (SQL Server)
• Background in pricing, revenue management, analytics, operations, or logistics environments
• Bachelor’s Degree or internationally equivalent in quantitative field (e.g., Statistics, Operations Research, Economics, Data Science, Engineering, or similar)

Employee Type:

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Other Criteria:

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

Basic Qualifications:

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.