Sales Compensation Sr. Analytics Consultant

Posted 13 Hours Ago
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Spring, TX, USA
In-Office
105K-162K Annually
Senior level
Information Technology
The Role
Leads sales compensation analytics by partnering with senior stakeholders, framing complex business questions, designing analytical models and KPI frameworks, and translating business needs into scalable BI solutions. The role supports forecasting, scenario modeling, dashboards, data quality, automation, and performance management initiatives while bridging business strategy and technical execution across sales, finance, and operations.
Summary Generated by Built In
Sales Compensation Sr. Analytics Consultant

Description -

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:
HP offers a comprehensive benefits package for this position, including:

  • 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, with or without notice, subject to applicable law.

Job -

Sales Operations

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

Skills Required

  • 6+ years of experience 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
  • Experience translating business questions into analytical models, dashboards, or frameworks
  • Strong proficiency in analytical and business intelligence tools, including Power BI and SQL
  • 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
  • Ability to frame ambiguous problems and provide structured, actionable recommendations
  • Strong stakeholder management, storytelling, communication, and strategic thinking skills
  • Proficiency in Python or R
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The Company
HQ: Palo Alto, CA
174,794 Employees

What We Do

Engineering experiences that amaze. We create technology with a purpose: to make life better for everyone, everywhere. Keep Reinventing.

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