Senior Manager, Merchandise Finance

Genuine Parts Company • Atlanta, GA

1d • Onsite

About The Position

Leads the creation and maintenance of financial forecasting and reporting for category-level consumption. Enhances strategic category decision-making by providing accurate, timely, and insightful data. The position is responsible for performing any other duties as assigned by management.

Requirements

• Self-starter with proactive drive and ambition to perform and drive change with minimal direction & coaching.
• At least 3-5 years working in a financial analyst role, ideally in a complex data environment.
• College degree from an accredited institution (or other advanced degree in economics, mathematics, finance, marketing intelligence or business intelligence) or equivalent.
• High level of commercial and financial acumen experience required; CFA accepted.
• Demonstrated and advanced proficiency with business intelligence tools; preferably Excel and data visualization tools (Tableau, Power BI, Qlik, etc.).
• Advanced experience with database systems at an enterprise level.
• Demonstrated and advanced proficiency with Microsoft Excel, such as database management, vlookups, and pivot tables.
• Demonstrated experience with data governance projects.
• Strong internal and external relation-building skills.
• Uncompromising integrity and intellectual honesty; possesses courage and conviction to speak their position.
• Demonstrated previous experience reporting to senior executives.
• Highly self-motivated with a strong work ethic.

Responsibilities

• Develop actionable dashboards with pricing and commercial KPIs and forecast to support merchandising in category strategy.
• Support sales on market intelligence, sales rep performance, and coaching.
• Identify drivers of margin erosion and compliance metrics.
• Build new forecasting and reporting templates and tools to assist the category team with measuring product-level profitability.
• Develop end-to-end visibility into customer & supplier cost-to-serve, and associated reporting & tracking.
• Build the next generation of sales growth AI tools to support profitable growth, including churn propensity models and cross-sell/upsell tools to embed in the sales process and whitespace identification tools.
• Measure promotional effectiveness by analyzing financial data, customer decision trees, and competitive products.
• Make recommendations based on data and measure the effectiveness of results.
• Provide ad hoc financial reporting and other analyses as directed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree