Category Manager, Business Intelligence

Overview

We Are PepsiCo:

PepsiCo is a global food and beverage leader operating in more than 200 countries with a product portfolio that includes 23 world-famous, billion-dollar brands. From Mountain Dew to Doritos, Gatorade to Quaker, we make hundreds of enjoyable foods and beverages that are loved throughout the world. Innovation is a critical way we impact the market, as well as communities around the globe. We believe there is value in products, people, and the planet. And we strive to make a difference by creating solutions that leave a lasting positive footprint.

North America Insights & Intelligence (NA I&I):

NA Insights & Intelligence (NA I&I) is a team that represents a transformation of Shopper Analytics & Insights, Consumer Insights, Commercial Intelligence and Category Leadership resources to support Sales and Marketing plans for enterprise, national, and regional customers across the PepsiCo portfolio. This approach allows us to build best-in-class capabilities, develop deep functional expertise, and offer focused programs to drive growth with our customers. The NA I&I group will help PepsiCo provide our customers with cutting edge data and insights, as well as, personalized solutions to drive incremental growth for both our customers and PepsiCo. 

Responsibilities

This is a unique role on the Dollar General Category Management Team that sits at the intersection of high level analytics and category management underneath the Total Team Strategy/Automation Pillar.  Key responsibilities include creating/driving value and developing capabilities from our core data sets – 1010data, Quantium, our internal POS data, Circana Complete Consumer, and Circana Market Data.  You will collaborate within a matrixed environment, becoming an indispensable partner to technical and business teams to deliver projects that drive growth. You’ll work closely with cross-functional teams to define specific objectives and solutions for each business problem to solve. Additionally, you will verify data integrity, solve for data anomalies and consult on including additional data. This role will provide valuable business experience, category management experience, and strategy development for any data science/analytics experts looking for expanded opportunities.

• Help deliver Big Bet initiatives that are total PepsiCo in nature to include but not limited to: Team Data Strategy, Total Store, Front End, Shopper Segmentation, and certain white spaces.
• Help own and enable the team’s Data Strategy – setting the foundation for insights development across the team.
• Become the SME for all of our core data sources and help guide the team with automation opportunities to drive efficiency and accuracy.
• Utilize information from multiple sources such as 1010, Circana, Quantium, Numerator and internal research to identify growth opportunities.
• Develop impactful content to convey growth opportunities to internal and external partners across the main levers of our business with focus on assortment, space, promotions, pricing and displays
• Develop strong working relationships with Dollar General, internal and external data partners, and the broader PepsiCo Dollar General team.

Compensation and Benefits:

• The expected compensation range for this position is between $110,700 - $185,250.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

• Bachelor's Degree required
• Minimum of 5-7 years of broad Category Management, CPG, Data Science, and Shopper Insights experience required
• Demonstrated experience in handling large data sets, relational databases, data storage structures, data mining, and data cleansing.
• Highly proficient in Python, SQL and Dashboard technologies required
• Highly proficient in Circana, 1010data, and Quantium
• Highly proficient in MS PowerPoint and Excel
• Executive communication and cross-functional collaboration skills