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Sr. Manager Retail Analytics

GNC

Pittsburgh (Allegheny County)

On-site

USD 80,000 - 110,000

Full time

30 days ago

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Job summary

An established industry player is seeking a Senior Manager of Retail Analytics to lead their analytics team. In this pivotal role, you will drive impactful insights that influence business decisions and optimize marketing strategies. Collaborating with cross-functional teams, you will leverage advanced tools like Power BI to create meaningful data visualizations. This position offers a unique opportunity to work in a dynamic environment focused on health and wellness, where your contributions can significantly enhance the consumer experience. If you are passionate about data and its application in retail, this role is perfect for you.

Qualifications

  • 5+ years of experience in retail analytics or pricing analysis.
  • Bachelor’s or Master’s degree in a relevant field is required.
  • Expertise in promotional analysis and cost analysis.

Responsibilities

  • Lead promotional analysis to optimize marketing campaigns.
  • Develop pricing strategies to maximize profitability.
  • Utilize Power BI for data visualization and reporting.

Skills

Retail Analytics
Promotional Analysis
Pricing Strategies
Cost Analysis
Analytical Skills
Communication Skills

Education

Bachelor’s degree in Business
Master’s degree in Business
Degree in Statistics
Degree in Data Analytics
Degree in Economics
Degree in Finance

Tools

Power BI
SQL
Python
R

Job description

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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.

POSITION SUMMARY:

We are seeking an experienced Senior Manager of Retail Analytics to 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.

JOB RESPONSIBILITIES:

  • 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

PHYSICAL ASPECTS/WORK ENVIRONMENT:

  • 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.
  • Specific vision abilities required by this job include 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.

* Reasonable accommodations may be made to enable individuals to perform the essential functions.

REQUIRED 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, Management, and Strategy/Planning

Industries: Retail Health and Personal Care Products

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