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 workstreams, influence cross-functional decisions, establish standards, and train or guide others.
COMPETENCIES - SKILLS
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
EDUCATION AND EXPERIENCE
Bachelor’s degree in finance, Mathematics, Engineering, Computer Science, Data Science, or a related quantitative field; master’s degree a plus
3-5 years of experience in analytics, data science, FP&A, pricing, BI, or a…