Pricing Analyst

Spot Inc.•Tampa, FL

13d•Onsite

About The Position

The Pricing Analyst is a key contributor to Spot’s sales and product teams, responsible for preparing proposals, developing accurate and effective RFQ pricing, and reviewing and qualifying submissions from sales and product teams. The analyst works with account leaders, sales managers, and subject matter experts to gather insights and support a positive customer experience. The role uses Spot’s pricing models, market intelligence, analytical tools, and lane-level benchmarks to inform pricing decisions. It also performs post-bid analysis, contributes feedback to improve pricing models and decision-support tools, and helps improve processes and compliance. The position is based on-site in Chicago, Illinois, five days a week.

Requirements

Bachelor’s degree.
Three to five years of proven experience, including three years in the 3PL/brokerage industry.
FTL experience across dry van, reefer, and flatbed, with an understanding of how mode and equipment type affect rate and capacity dynamics.
Ability to manage large data sets and cross-reference them with other data sets to draw conclusions.
Ability to use market rate intelligence and lane-level benchmarks to pressure-test pricing assumptions and identify competitive gaps.
Strong project management and organizational skills.
Ability to persuade, motivate, and influence others.
Strong communication, analytical, and writing skills.
Strong attention to detail and ability to thrive in a fast-paced environment, adapt, multitask, and act with urgency.
Excellent MS Office skills, including Excel, Word, and PowerPoint.

Nice To Haves

Familiarity with data scripting languages such as SQL, Python, or R.

Responsibilities

Partner with sales leaders and Account Managers to manage the RFQ and proposal process.
Use Spot’s pricing models, market intelligence, and analytical tools to support pricing decisions.
Develop proposal pricing rates in consideration of contract length and scope.
Prepare, integrate, and ensure the quality of financial information in customer bid review packages.
Perform post-bid analysis of win/loss trends, awarded volume, pricing competitiveness, and performance against pricing assumptions.
Partner with the data science team to provide business feedback and help improve pricing models, data products, and decision-support tools.
Coordinate the development and improvement of processes to ensure compliance with business requirements.
Drive understanding of revenue, margin, and cost drivers in freight verticals and channels.