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Senior Manager, Retail Analytics (Pittsburgh)

GNC

Company : GNC

Location : Pittsburgh, PA

Posted Date : 15 September 2025

Job Details

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 Were 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 are seeking an experienced Senior Manager of Retail Analytics to lead our Analytics and Business Intelligence teams to deliver 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/machine learning 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.

What Youll Do

This is a Full-Time Salary Position

JOB RESPONSIBILITIES:

Promotional Effectiveness & Optimization

  • Analyze historical and in-flight promotional performance across categories and channels
  • Identify profitable promotional strategies, cannibalization effects, and elasticity drivers
  • Recommend data-driven promotional calendar and offer designs

Pricing Strategy & Competitive Intelligence

  • Conduct ongoing analysis of competitive pricing trends and market positioning
  • Partner with Category Management to recommend price changes that balance competitiveness and margin
  • Support A/B and multivariate pricing tests, including markdown strategies

Cost & Margin Analysis

  • Evaluate cost-of-goods changes and their downstream impact on pricing, margin, and profitability
  • Support vendor negotiations with data on cost drivers and profitability thresholds

Predictive Modeling & Advanced Analytics

  • Build and maintain forecasting models to support sales, margin, and customer behavior predictions
  • Use machine learning or statistical methods to identify patterns and forecast retail KPIs
  • Translate model outcomes into actionable insights for senior leadership

Cross-Functional Insights Leadership

  • Present analytical findings to senior executives with clarity, business relevance, and recommendations
  • Collaborate with Finance, Marketing, Merchandising, E-Com, and Store Ops on scenario modeling and performance tracking
  • Support the development of dashboards and reporting tools in Power BI or other platforms

Team Leadership & Development

  • Lead and mentor a team of analysts to ensure quality, timeliness, and impact of deliverables
  • Foster a culture of curiosity, continuous improvement, and analytical excellence

Supervisory Responsibilities

  • 2-4 direct reports

Environmental Factors & Working Schedule

  • 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

  • Bachelors or Masters 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.

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled

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