Sr. Manager, Retail Analytics

GNC; Pittsburgh (Allegheny County); Hybrid; USD 80,000 - 120,000; Full time

Job summary

A forward-thinking company is seeking a Senior Manager of Retail Analytics to lead their analytics team. This pivotal role involves overseeing retail data strategy, customer insights, and performance reporting. The ideal candidate will have a strong analytical mindset and deep expertise in retail analytics, leveraging tools like Power BI to deliver actionable insights. This position offers an exciting opportunity to collaborate with cross-functional teams and make a significant impact in the health and wellness industry. Join a passionate team dedicated to empowering consumers to achieve their health goals and drive innovation in retail analytics.

Qualifications

• 5+ years of experience in retail analytics and pricing analysis.
• Expertise in promotional analysis and cost analysis within retail.

Responsibilities

• Lead promotional analysis to optimize marketing campaigns.
• Develop pricing strategies to enhance profitability.
• Utilize Power BI for advanced data visualization.

Skills

Analytical Skills

Problem-Solving Skills

Communication Skills

Collaboration

Education

Bachelor’s degree in Business

Master’s degree in Statistics

Degree in Data Analytics

Tools

Power BI

SQL

Python

R

Job description

About GNC

Since 1935, GNC has been a global leader in health and wellness innovation, inspiring people to achieve their goals with a trusted and dynamic range of products. As #TeamGNC, we prioritize our consumers, constantly collaborating and developing new ideas to deliver cutting-edge solutions. Our team is passionate about driving change and turning aspirations into actions. We believe that good health is the greatest gift, and there's nothing more rewarding than helping others achieve it. Join us in empowering others to Live Well!

What We’re Looking For:

At GNC we embrace a “Live Well” philosophy, fostering a dynamic environment where innovation meets passion. Whether someone is an athlete or just starting to focus on their health, we want to deliver the cutting-edge products they deserve. We are looking for an individual who is excited and eager to play a pivotal role in driving excellence in the health and wellness industry. This position offers the opportunity to engage in a collaborative environment where you will make a personal impact every day.

We’re seeking a Senior Manager, Retail Analytics, to lead our analytics team and shape the future of our retail business through data. This role will oversee retail data strategy, customer insights, and performance reporting, partnering closely with Marketing, Merchandising, and Operations to deliver actionable intelligence.

What You’ll Do:

This is a Full-Time Salary Position

The Senior Manager of Retail Analytics will lead our analytics team in delivering impactful insights that drive business decisions. This role will be responsible for overseeing promotional analysis, pricing and cost analysis, market testing, and leveraging Power BI for advanced data visualization and reporting. Experience with AI-driven analytics is a plus. The ideal candidate will have a strong analytical mindset, deep expertise in retail analytics, and the ability to translate data into actionable strategies.

• Lead and execute promotional analysis to assess the effectiveness of marketing campaigns and optimize future promotions.
• Develop and implement pricing analysis strategies to ensure competitive positioning and maximize profitability.
• Conduct cost analysis to identify cost-saving opportunities and improve overall business efficiency.
• Utilize Power BI to create dashboards, reports, and data visualizations to support decision-making.
• Collaborate with cross-functional teams including Marketing, Finance, and Merchandising to drive data-driven strategies.
• Provide insights and recommendations to senior leadership based on comprehensive data analysis.
• Stay up to date with industry trends, including advancements in AI-driven analytics, and explore their potential application in retail analytics.
• Mentor and develop a high-performing analytics team.

SUPERVISORY RESPONSIBILITIES:

• 2-4 direct reports
• Hybrid work environment, 3 days in-person attendance (Pittsburgh, PA) in addition to remote work.
• Regularly required to stand; walk; sit; use hands or fingers to handle or feel; reach with hands and arms; stoop, kneel, crouch, or crawl; and talk or hear.
• Sedentary work. Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. Repetitive motion. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
• Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards.
• Specific vision abilities required by this job include long periods of computer screen usage, close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• The noise level in the work environment is usually low/moderate.

*To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Business, Statistics, Data Analytics, Economics, Finance, or a related field.
• 5+ years of experience in retail analytics, pricing analysis, or a similar field.
• Expertise in promotional analysis, pricing strategies, and cost analysis within a retail environment.
• Experience in working with large datasets and various analytical tools (e.g., SQL, Python, or R is a plus).
• Advanced proficiency in Power BI for data visualization, reporting, and dashboard creation.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Ability to develop and maintain collaborative relationships with peers and colleagues across the organization
• Excellent communication skills to effectively present insights to stakeholders.
• Ability to work well autonomously and within a team in a fast-paced and deadline-oriented environment.
• Self-motivated with critical attention to detail, deadlines and reporting.

PREFERRED QUALIFICATIONS:

• Experience with AI-driven analytics and its application in retail decision-making.
• Familiarity with machine learning models for demand forecasting and customer segmentation.
• Retail industry experience, preferably in specialty supplements or related sectors.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst, Finance, and Strategy/Planning
• Industries
• Retail and Retail Health and Personal Care Products