Senior Data Analyst, Pricing & Profitability Analytics

Wheels, Inc. • Schaumburg, IL

1d • $79,100 - $110,800 • Hybrid

About The Position

The Senior Data Analyst, Pricing & Profitability Analytics builds and maintains reporting and analytics tools focused on profitability and client pricing. The role delivers end-to-end analytics solutions, including data engineering, dashboard development, financial analysis, and executive-ready insights.

The position supports pricing, forecasting, profitability, and predictive analytics; automates and maintains data pipelines; and creates scalable data models and reusable analytics assets. The analyst also partners with Pricing leadership and cross-functional teams to assess pricing proposals and performance, model the financial effects of pricing changes, and turn findings into recommendations for business decisions.

This is an individual-contributor role with opportunities to lead analytical workstreams, influence cross-functional decisions, establish standards, and train or guide others. It is based in Schaumburg, Illinois, in a hybrid/remote professional office environment. The schedule is full-time, Monday through Friday, with occasional extended hours as needed and minimal travel (less than 10%).

Requirements

• Bachelor’s degree in finance, Mathematics, Engineering, Computer Science, Data Science, or a related quantitative field.
• 3–5 years of experience in analytics, data science, FP&A, pricing, business intelligence, or a similar technical role.
• Strong SQL skills, including Microsoft SQL Server Studio, data transformation, and validation.
• Experience with Tableau or similar business intelligence platforms.
• Hands-on data modeling experience with large datasets and complex reporting relationships.
• Proven ability to build enterprise business intelligence dashboards, preferably with Tableau.
• Proven ability to build Excel financial models and deliver effective financial storytelling.
• Proven ability to manage large datasets containing 1–500 million rows, automate workflows, and build reliable data pipelines.
• Strong understanding of financial modeling, pricing strategy, profitability analysis, business intelligence concepts, and analytical patterns.
• Ability to identify trends, risks, opportunities, and data quality issues in complex datasets.
• Ability to balance analytical rigor, user experience, maintainability, and business value.
• Excellent communication skills, including the ability to simplify complex ideas.
• Strong organization, planning, project management, collaboration, and interpersonal skills.
• Curious, accountable, self-driven, comfortable challenging assumptions, and able to work in a fast-paced environment.
• Self-starter, coachable team player, and committed to continuous learning.
• Able to work occasional extended hours as needed.
• Able to sit, use hands, and view a computer screen for extended periods; occasional walking and lifting up to 10 lbs may be required.

Nice To Haves

• Master’s degree.
• Working knowledge of Python, Excel, PowerPoint, and Alteryx.
• Experience with B2B pricing, financial operations, fleet management, SaaS, or professional services.
• Proven ability to use AI tools, including chat, Microsoft Copilot co-work, and self-built agents, to work more efficiently and produce higher-quality work.

Responsibilities

• Build and maintain Tableau dashboards and self-service reporting tools using strong visualization and metadata practices.
• Develop analytical models supporting pricing, forecasting, profitability, and predictive analytics.
• Analyze trends, risks, opportunities, data quality issues, and margin performance across large datasets.
• Research source data and recommend visualizations that clarify client, fleet, pricing, and profitability performance.
• Automate recurring data pipelines using Python, SQL, and Alteryx.
• Write and optimize SQL queries for data extraction, transformation, validation, and analysis.
• Design scalable data models with attention to accuracy, relationships, and downstream reporting impact.
• Create reusable utilities, documentation, and standards to improve efficiency and sustainability.
• Support centralized, scalable reporting environments and consistent data definitions.
• Maintain version-controlled code, reusable analytics assets, and documentation.
• Support development of a client profitability suite through data structuring, validation, transformation, and documentation.
• Build scenario models estimating the financial impact of pricing changes across clients and services.
• Partner with Pricing leadership to evaluate proposals, historical performance, and strategic adjustments.
• Translate analytical findings into clear recommendations for leadership decisions.
• Collaborate with Finance, Technology, Commercial, Product, Sales, and Account teams to clarify stakeholder needs.
• Convert business requirements into practical analytics that improve pricing and profitability decisions.
• Provide training, documentation, and support for dashboards, applications, and recurring processes.
• Communicate complex concepts clearly to technical and non-technical audiences.
• Lead analytical workstreams, influence cross-functional decisions, establish standards, and train or guide others as needed.

Benefits

• Robust, market-leading and competitive benefits package for employees and their families.
• Eligibility to participate in an annual incentive plan based on company and individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior