Sales Compensation Sr. Analytics Consultant

PVH (Tommy Hilfiger/Calvin Klein); Spring (TX); On-site; USD 105,050 - 161,800; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous paid time off

Job summary

PVH, parent company of Tommy Hilfiger and Calvin Klein, seeks aSales Compensation Sr. Analytics Consultant to drive data‑driven decisions across compensation, finance, and strategy.

You will build analytical frameworks, models, and dashboards to guide senior leadership on sales performance and spend. Ideal candidates bring 6+ years in analytics or consulting, strong BI tool experience, and a proven ability to influence executives with structured insights.

Qualifications

• 6+ years in analytics, business analysis, or consulting.
• Experience with sales compensation, sales ops, revenue analytics.
• Proven ability to influence senior stakeholders with data-driven insights.
• Ability to turn business questions into analytical models, dashboards, or frameworks.

Responsibilities

• Drive stakeholder engagement and decision-making with finance, sales, and strategy leaders.
• Architect analytical solutions to complex, cross-functional questions on sales compensation.
• Translate business requirements into analytical designs with data engineers and BI developers.
• Develop KPI frameworks for sales performance, plan effectiveness, spend, and compensation outcomes.
• Bridge business strategy with technical execution and support tool roadmap.

Skills

Stakeholder engagement

Analytics storytelling

Cross-functional collaboration

Forecasting/Modeling

KPIs & dashboards

Tools

Power BI

SQL

Python

R

Job description

Sales Compensation Sr. Analytics Consultant

About the Role

We are seeking an experienced, highly analytical, and business‑oriented Senior Analytics Consultant / Senior Business Analyst to join our Sales Compensation Insights & Analytics organization. This role is ideal for someone who is passionate about sales compensation , thrives at the intersection of business strategy , analytics , and technology , and is motivated by shaping data‑driven decisions at scale.

The ideal candidate brings a strong consulting mindset, the ability to influence senior stakeholders, and a track record of designing analytical frameworks that guide business decisions. This role acts as a bridge between business stakeholders, technical teams, and strategic initiatives , ensuring analytical solutions are aligned with operational realities and long‑term strategy.

Key Responsibilities

1. Drive Stakeholder Engagement & Decision‑Making
   • Partner with sales compensation, finance, sales operations, and strategy leaders to understand business priorities and decision‑making needs.
   • Lead discussions that simplify complex topics, influence stakeholders, and create alignment on recommendations.
   • Act as a trusted advisor by bringing structured thinking, data‑driven insights, and business acumen.
2. Architect Solutions to Complex Business Questions
   • Frame and break down ambiguous, cross‑functional, and complex questions into structured analytical solutions.
   • Leverage deep understanding of sales compensation constructs, quotas, crediting, performance KPIs, affordability, productivity, seller experience , and related business processes.
   • Design robust analytical models, scenarios, and frameworks to support operational decisions and strategic planning.
3. Translate Business Requirements into Analytical Solutions
   • Convert stakeholder needs into clear analytical requirements and solution designs.
   • Partner with data engineers, BI developers, and technical teams to ensure solutions are scalable, reliable, and accurate.
   • Develop business logic, validation rules, and analytical methodologies to support key processes.
4. Create Metrics & Define KPIs
   • Develop, refine, and maintain KPI frameworks to measure sales performance, plan effectiveness, spend, return on investment, and compensation outcomes.
   • Align definitions across organizations to ensure consistency in reporting and decision‑making (e.g., quota setting, crediting, performance metrics).
   • Ensure KPIs and dashboards are intuitive, actionable, and reliable for both business and executive audiences.
5. Bridge Technical and Strategic Needs
   • Connect high‑level business strategies with technical execution by communicating requirements, identifying dependencies, and ensuring solution feasibility.
   • Support transformation initiatives related to automation, performance management tools, and next‑generation analytics landscapes (e.g., SPM systems, reporting modernization).
   • Influence the roadmap of tools, data quality improvements, and innovation programs.

What We’re Looking For

Experience

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

Technical Skills

• Strong proficiency in analytical and BI tools (Power BI, SQL, Python or R a plus).
• Experience designing metrics, data models, BI dashboards, or analytical products.
• Understanding of forecasting, scenario modeling, and performance measurement methodologies.
• Ability to translate complex datasets into insights and business narratives.

Business & Consulting Skills

• Comfortable framing ambiguous problems and providing structured, actionable recommendations.
• Excellent storytelling, stakeholder management, and communication skills.
• Strong strategic thinking with attention to detail and operational feasibility.
• Ability to lead discussions and drive alignment across cross‑functional teams.

The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave ( US benefits overview )

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time.