Manager, Sales & Commercial Analytics

Padagis•Wyoming, MI

5d•Remote

About The Position

We’re looking for a passionate and data-driven Manager, Sales and Commercial Analytics, to play a critical role in supporting and driving commercial success. If you’re eager to blend your sales, account management, and analytics expertise in a role that bridges relationships and data-driven action, this opportunity is tailor-made for you! This role combines sales fluency with commercial analytics, empowering you to own sales relationships while developing cutting-edge dashboards and insights to amplify the effectiveness of our National Accounts Team. Job duties: What You’ll Do... In this role, your responsibilities will focus on two critical areas: Sales & Account Management (50% of Role) Own customer relationships for assigned accounts (wholesale, retail, and GPOs), ensuring satisfaction and achievement of revenue and margin goals. Serve as the primary point of contact for customer inquiries, including product launches, availability, forecasts, and supply needs. Lead and support contract negotiations, aligning terms to promote business growth and mitigate risk. Drive incremental revenue opportunities across accounts and influence pricing strategies to align with corporate objectives. Partner internally to develop and deliver customized sales presentations, providing exceptional support to meet client needs. Commercial Analytics (50% of Role) Develop impactful dashboards and reports to help the National Accounts team make data-driven decisions. Validate the accuracy and reliability of data across analytics solutions to ensure high standards of quality. Analyze large datasets to discover trends, highlight anomalies, and deliver actionable insights aligned with business goals. Collaborate with cross-functional teams (e.g., data engineers) to define metrics and refine analytics tools. Champion the implementation of AI tools and modern reporting tools (e.g., Power BI) to streamline workflows and improve decision-making processes.

Requirements

Bachelor’s degree in business, science, or a related discipline
Five or more (5+) years of professional experience
At least two (2) years of experience in commercial roles (sales, marketing, product management) or working with wholesalers or GPOs (buy-side or sell-side).
Strong understanding of pharmaceutical sales channels, including wholesale, retail, and GPO markets.
Technical Skills: Advanced Excel proficiency (e.g., pivot tables).
Familiarity with AI tools to support marketing or commercial analytics.
Soft Skills: Exceptional analytical thinking with a proven ability to translate data into actionable insights.
Excellent communication skills, capable of simplifying complex topics and building strong customer relationships.
Strong organizational and multitasking abilities, with meticulous attention to detail.
Ability to thrive in a fast-paced, ambiguous environment while identifying creative solutions.

Nice To Haves

MBA Degree
Generic pharmaceutical industry experience, or related experience.
Hands-on experience handling pharmaceutical sales data (e.g., IMS/IQVIA) is a strong plus.
Experience with data visualization tools such as Power BI and SQL.
Familiarity with SAP data and ability to pull reports strongly preferred.

Responsibilities

Own customer relationships for assigned accounts (wholesale, retail, and GPOs), ensuring satisfaction and achievement of revenue and margin goals.
Serve as the primary point of contact for customer inquiries, including product launches, availability, forecasts, and supply needs.
Lead and support contract negotiations, aligning terms to promote business growth and mitigate risk.
Drive incremental revenue opportunities across accounts and influence pricing strategies to align with corporate objectives.
Partner internally to develop and deliver customized sales presentations, providing exceptional support to meet client needs.
Develop impactful dashboards and reports to help the National Accounts team make data-driven decisions.
Validate the accuracy and reliability of data across analytics solutions to ensure high standards of quality.
Analyze large datasets to discover trends, highlight anomalies, and deliver actionable insights aligned with business goals.
Collaborate with cross-functional teams (e.g., data engineers) to define metrics and refine analytics tools.
Champion the implementation of AI tools and modern reporting tools (e.g., Power BI) to streamline workflows and improve decision-making processes.