Salesforce

Senior Analyst - Global Incentive Compensation Analytics

Salesforce$94K — $142K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in a highly quantitative field like Data Science or Statistics.
  • 3+ years of experience in Data Science or Advanced Analytics.
  • Proficiency in Python or R for statistical analysis and model building.
  • Advanced SQL/Snowflake skills for complex data management.
  • Experience creating automated dashboards in tools like Tableau.
  • Strong analytical problem-solving skills to handle complex requests independently.
  • Effective communication skills to simplify complex data insights.

Responsibilities

  • Build and deploy predictive models to evaluate compensation plan impacts using Python.
  • Perform sophisticated analyses to assess the ROI of Incentive Compensation programs.
  • Extract and transform large datasets with advanced SQL and Python for automated insights.
  • Collaborate with GTM organizations to translate scientific models into actionable strategies.
  • Track commission costs through predictive algorithms forecasting GTM performance.
  • Design a framework to evaluate payout rates and compensation structures by performance tier.

Benefits

  • Comprehensive health and wellness programs to support work-life balance.
  • Access to resources for personal and professional growth.
  • AI-driven tools to enhance productivity and efficiency.
  • Opportunities for career development and advancement.
Full Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Operations

Job Details

Position Description:
The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.

Responsibilities:
  • Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
  • Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  • Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  • Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
  • Pay-for-Performance Framework:
    against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
  • compensation structures across various roles and performance tiers.


  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
  • Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
  • Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
  • SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
  • Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
  • Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
  • Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
  • Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
  • CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred


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About Salesforce

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Size
73,541 employees
Market Cap
$130.4 billion
Industry
Net Income
$4 billion
Founded
2000
5 Year Trend
+25.7%
Revenue
$21.2 billion
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