Senior Data Analyst, Pricing & Profitability Analytics

Job Description:

The Senior Data Analyst, Pricing & Profitability Analytics will build and maintain a suite of reporting and analytics tools focused on multiple profitability dimensions and client pricing. This role is responsible for end-to-end analytics solutions, from data engineering, dashboard creation, executing financial analysis, and producing executive-ready insights.

• Business Intelligence, Advanced Analytics, & Reporting Build and maintain Tableau dashboards and self-service reporting tools using strong visualization and metadata practices Develop analytical models to support 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
• Data Modeling, Automation, & Workflow Engineering Automate recurring data pipelines using Python, SQL, and Alteryx Write and optimize SQL queries for extraction, transformation, validation, and analysis. Design scalable data models with attention to accuracy, relationships, and downstream reporting impact Create reusable utilities, documentation, and standards that improve efficiency and sustainability Support centralized, scalable reporting environments and consistent data definitions Maintain version-controlled code, reusable analytics assets, and documentation
• Profitability Analytics & Pricing Strategy Support development of a client profitability suite through data structuring, validation, transformation, and documentation Build scenario models that estimate the financial impact of pricing changes across clients and services Partner with Pricing leadership to evaluate proposals, historical performance, and strategic adjustments Translate findings into clear recommendations for leadership decisions
• Cross-Functional Collaboration, Support & Enablement 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 Ability to communicate complex concepts clearly to technical and non-technical audiences
• LEADERSHIP RESPONSIBILITIES Individual contributor role with opportunities to lead analytical work streams, influence cross-functional decisions, establish standards, and train or guide others.

Technical Skills Strong SQL skills in Microsoft SQL Server studio, data transformation, and validation Experience with Tableau or similar BI platforms Hands-on data modeling experience for large datasets and complex reporting relationships Working knowledge of Python, Excel, PowerPoint, Alteryx, is a plus Proven ability to use AI tools to complete tasks more efficiently and produce higher quality work via chat, Microsoft Co-Pilot co-work, and self-built agents Business & Analytical Acumen Coachable, team player, & passion for continuous learning.

Strong understanding of financial modeling, pricing strategy, profitability analysis, BI 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 with the ability to simplify complex ideas. Strong organization, planning, project management, collaboration, and interpersonal skills Curious, accountable, self-driven, and comfortable challenging assumptions in a fast-paced environment Self-starter.