Senior Sales Analytics & Compensation Strategist

HP; Spring (TX); On-site; USD 105,000 - 162,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies

Parental leave (4–12 weeks)

Job summary

HP in Spring, Texas seeks a Senior Analytics Consultant / Senior Business Analyst to drive analytics for Sales Compensation Insights & Analytics. The role bridges business stakeholders, data engineers, and strategic initiatives to deliver scalable analytical solutions.

The ideal candidate will have 6+ years in analytics or consulting, strong stakeholder engagement, and proficiency with Power BI, SQL, and Python or R to build dashboards and models that guide decisions.

Qualifications

• 6+ years in analytics, business analysis, consulting, or similar roles.
• Strong background in sales compensation, sales operations, revenue analytics, or related domains.
• Experience engaging with senior stakeholders and influencing complex decisions.
• Proven track record of turning business questions into analytical models, dashboards, or frameworks.

Responsibilities

• Drive stakeholder engagement and support decision-making.
• Partner with leaders to understand priorities and decision needs.
• Lead discussions to simplify topics, influence stakeholders, and align on recommendations.
• Architect analytical solutions for complex business questions across cross-functional teams.
• Design metrics, data models, and KPI frameworks for sales performance and compensation outcomes.
• Translate stakeholder needs into analytical requirements and scalable designs.

Skills

Stakeholder engagement

Analytical thinking

Business analysis

Consulting mindset

Education

Bachelor's degree or equivalent in a related field

Tools

Power BI

SQL

Python

R

Job description

HP in Spring, Texas seeks a Senior Analytics Consultant / Senior Business Analyst to drive analytics for Sales Compensation Insights & Analytics. The role bridges business stakeholders, data engineers, and strategic initiatives to deliver scalable analytical solutions.

The ideal candidate will have 6+ years in analytics or consulting, strong stakeholder engagement, and proficiency with Power BI, SQL, and Python or R to build dashboards and models that guide decisions.