Pricing Analyst

This is a fully remote position, open to applicants in Arizona.

📋 Description

• Develop and sustain lane pricing for vehicle transport across OEM, banks, dealers, auctions, and customer delivery routes.

• Benchmark rates utilizing both internal historical data and external market information.

• Identify pricing discrepancies, underperforming lanes, margin compression, revenue leakage, and opportunities for profitability.

• Construct, update, and audit customer-specific rate tables, tariffs, lane schedules, fuel surcharge programs, and accessorial charges.

• Accurately configure contracts, bid awards, rate sheets, and amendments within transportation management and billing systems.

• Suggest origin-destination rate adjustments based on cost trends, market benchmarks, service levels, volume commitments, target margins, and profitability impacts.

• Develop pricing models, forecasting tools, and workflows for data cleaning and validation using Excel, Python, statistical analysis, and AI-assisted methods.

• Integrate internal and external datasets into dashboards that report lane rates, cost trends, gross and contribution margins, market variances, pricing efficacy, and customer profitability.

• Audit pricing and billing data, reconciling customer pricing, carrier costs, invoices, settlements, and remittances.

• Assist with annual and spot-rate bids through cost analyses, market comparisons, pricing scenarios, and margin recommendations.

• Price new customers, new lanes, network modifications, and volume changes.

• Collaborate with Sales, Operations, Finance, Data Science, and Engineering to align pricing with business and financial goals.

• Monitor post-implementation performance across quoted, booked, actual, and realized rates.

• Oversee pricing governance, including approval workflows, version control, effective-date procedures, and master data accuracy.

• Facilitate the correction of obsolete, duplicate, or misconfigured rates.

• Document pricing methodologies, data sources, assumptions, model logic, AI applications, and audit procedures.

• Communicate findings from pricing and data analysis, recommended actions, financial impacts, assumptions, and risks to business leaders.

• Enhance pricing processes, reporting automation, data quality, and analytical tools.

• Perform additional duties as assigned.

⛳️ Requirements

• 5+ years of experience in pricing analytics within auto logistics, finished-vehicle transportation, vehicle relocation, or a closely related transportation field.

• Proven understanding of OEM, bank, dealer, auction, and vehicle delivery networks.

• Bachelor’s degree in Finance, Business Management, Supply Chain, or a related discipline.

• Strong knowledge of lane pricing, transportation cost drivers, carrier rates, customer contracts, fuel surcharges, accessorial charges, detention, storage, re-delivery, and expedited transportation.

• Capability to benchmark internal lane pricing against external market data and industry research.

• Experience in analyzing large datasets and converting findings into pricing and margin recommendations.

• Background in supporting customer bids, contract negotiations, annual rate reviews, and spot-market pricing.

• Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, lookups, data reconciliation, scenario analysis, and financial modeling.

• Experience in building and maintaining pricing, profitability, or financial dashboards.

• Practical knowledge of AI and machine learning applications for pricing analysis, forecasting, and data quality monitoring.

• Hands-on experience with transportation management, billing, or carrier settlement systems.

• Ability to validate pricing data across TMS records, billing data, customer contracts, carrier costs, and external market research.

• Excellent written and verbal communication skills.

• Proficient in documenting methodologies, assumptions, pricing rules, and model outputs clearly.

• Aptitude for managing multiple pricing initiatives independently, accurately, and within deadlines.

• Pricing experience in finished-vehicle transportation or vehicle logistics is preferred.

• Professional experience using Python for data analysis, data cleaning, automation, statistical modeling, or pricing analysis is preferred.

• Experience applying data science methods to forecasting, trend analysis, anomaly detection, segmentation, or optimization is preferred.

• Familiarity with automotive transportation bids, routing guides, network design, carrier procurement, or transportation procurement is preferred.

• Experience with customer-specific tariffs, rate tables, pricing schedules, contract amendments, and effective-date management is preferred.

• Knowledge of fuel-indexed pricing and customer-specific fuel surcharge formulas is preferred.

• Proficiency in using SQL, cloud data platforms, or business intelligence tools beyond Tableau is preferred.

• Experience in developing automated pricing or profitability reporting pipelines is preferred.

• Familiarity with predictive analytics, optimization models, machine learning, or AI-enabled analytical tools is preferred.

• Awareness of transportation data sources, market-rate benchmarks, fuel indexes, carrier cost data, and industry research is preferred.

• Experience with TMS, transportation billing, freight audit, revenue management, and/or transportation accounting systems is preferred.

• Experience working in a fast-paced technology company or transportation environment is preferred.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance with AD&D coverage

• Short-Term Disability insurance

• Long-Term Disability insurance

• Pet insurance

• Identity theft protection

• 401(k) retirement savings plan

• RAD, the RunBuggy Automotive Discounts program

• Employee wellness program

• Employee rewards, discounts, and recognition programs

• Generous company-paid holidays (12 per year)

• Vacation and sick time

• Paid parental leave

• Monthly connectivity/home office stipend for remote work (5 days a week)

• A supportive and positive environment for career advancement