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.
KEY RESPONSIBILITIES - ESSENTIAL FUNCTIONS
- 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 workstream