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 financi...

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 similar technical role
• Proven ability in building enterprise business intelligence dashboards, preferably with Tableau
• Proven ability in building Excel financial models and effective financial storytelling
• Proven ability managing large sets of data containing 1-500 million