Senior Commercial Analytics Lead - Power BI

wabashcareers; Lafayette (IN); On-site; USD 90,000 - 120,000; Full time

Job summary

Wabash seeks a Senior Business Analyst for Commercial Operations to act as a strategic analytics partner, translating complex data into actionable insights that boost sales effectiveness, forecasting accuracy, pricing discipline, and profitability.

The role leads self-service analytics using Power BI, partnering with Sales, Finance, and Enterprise Data to define KPI logic, build governed dashboards, and enable data-driven decision making across the organization.

Qualifications

• Bachelor’s degree in a quantitative field; MBA preferred.
• Minimum of 5 years of analytics supporting sales, commercial operations, pricing, forecasting, or revenue management.
• Advanced proficiency in Excel and Power BI dashboard development.
• SQL proficiency for data extraction and analysis preferred.
• Experience working with CRM/ERP systems.

Responsibilities

• Analyze commercial performance trends to identify risks, opportunities, gaps, and actions.
• Develop insights on sales pipeline, forecasting, customer profitability, pricing, and market trends.
• Translate complex data into clear narratives and recommendations for leaders.
• Build governed Power BI dashboards and reports using enterprise data products.
• Collaborate with Enterprise Data to scale analyses into reusable data products.
• Lead self-service analytics adoption and train users in Power BI.
• Define KPI logic and data definitions with stakeholders.

Skills

Strong analytical skills

Executive-ready communication

Business acumen

Stakeholder partnership

Attention to detail

Education

Bachelor’s degree in Business, Finance, Economics, Mathematics, Statistics, Analytics, Data Science, or related field

MBA preferred

Tools

Power BI

Excel

SQL

CRM / ERP systems

Job description

Wabash seeks a Senior Business Analyst for Commercial Operations to act as a strategic analytics partner, translating complex data into actionable insights that boost sales effectiveness, forecasting accuracy, pricing discipline, and profitability.

The role leads self-service analytics using Power BI, partnering with Sales, Finance, and Enterprise Data to define KPI logic, build governed dashboards, and enable data-driven decision making across the organization.