Sales Incentive Data Lead (Commercial Control Tower Finance)

Job Overview

The Sales Incentive Data Lead will serve as a strategic analytics partner to Finance, Sales, and Marketing organizations-leveraging data to measure, optimize, and maximize the return on investment (ROI) of sales incentives and marketing programs. This role is responsible for quantifying the impact of commercial levers, developing data-driven proposals to optimize incentive spend, and informing key pricing and marketing decisions. The ideal candidate is highly analytical, business-savvy, and skilled at translating complex data into actionable insights for senior leadership.

Responsibilities

• Track and analyze the ROI of sales incentives and marketing programs, ensuring alignment with financial and volume objectives.

• Quantify the impact of commercial levers-including incentives, pricing strategies, and marketing investments-on sales performance and profitability.

• Develop data-driven proposals to optimize incentive structures and spread, maximizing efficiency and effectiveness across markets, models, and channels.

• Partner with cross-functional stakeholders (e.g., Sales, Brand, Marketing, Retail, Fleet, Network Development, Mopar) to understand business needs and provide insight-backed recommendations.

• Build and maintain interactive dashboards and reports that monitor incentive performance, spend efficiency, and key KPIs.

• Support scenario modeling and forecasting to assess the financial impact of alternative incentive strategies.

• Present findings and strategic recommendations to Finance and Commercial leadership in clear, compelling narratives.

• Ensure data accuracy, consistency, and governance across incentive analytics and reporting systems.

Basic Qualifications:

• Bachelor's degree in Finance, Economics, Business Analytics, Data Science, Statistics, or a related field.

• 8+ years of experience in data analytics, financial analysis, or business intelligence, preferably supporting Sales or Marketing functions.

• Proficiency in data visualization tools (e.g., Power BI, Tableau) and advanced Excel.

• Strong analytical and quantitative skills with experience evaluating ROI and financial impacts of commercial initiatives.

• Ability to translate complex data into clear insights and recommendations for non-technical audiences.

• Excellent communication and stakeholder management skills.

Preferred Qualifications:

• Master's degree in Business Analytics, Finance, or related field.

• Experience in automotive, retail, or other incentive-driven industries.

• Knowledge of SQL, Python, or other data querying/scripting languages.

• Demonstrated success in building incentive optimization frameworks or ROI models.

• Familiarity with pricing strategy, elasticity analysis, or promotional effectiveness modeling.