Senior, Retail & Shopper Analyst
Hanes Brands

Overview

HanesBrands (NYSE: HBI) makes everyday apparel that is known and loved by consumers around the world for comfort, quality and value. Among the company's iconic brands are Hanes, the leading basic apparel brand in the United States; Bonds, which is setting new standards for design and sustainability; Maidenform, America's number one shapewear brand; and Bali, America's number one bra brand. HBI employs 48,000 associates in 29 countries and has built a strong reputation for workplace quality and ethical business practices. The company, a longtime leader in sustainability, has set aggressive 2030 goals to improve the lives of people, protect the planet and produce sustainable products.

Are you ready to take your career to the next level, using data to drive critical business decisions in the retail space? Do you thrive in fast-paced environments where your insights have a direct impact on business success? If you're a skilled analyst with a passion for shopper and retail, we want you on our team!

Step into a role as a Retail & Shopper, Senior Analyst

At Hanesbrands Inc., we're transforming the way we drive business impact and value with our retail partners. As a Retail & Shopper Senior Analyst, you'll be at the heart of this, working closely with our retail, category management, and merchandising teams to unlock key insights that will fuel business growth. Your work will shape how we approach retail strategy, shopper behavior, and merchandizing best practices.

Responsibilities

• Strategic Business Acumen and Analysis: Develop and maintain an understanding of HBI's business strategies, objectives, and competitive landscape. Shape strategy and execution to our sales and retail partners. Identify critical business challenges and opportunities, proposing innovative solutions that drive growth, efficiency, and profitability.
• Data Analysis: Conduct analyses to identify shopper and retail trends to build channel strategy, assortment, and sales stories.. Utilize analytical tools and techniques to extract actionable insights from data and support sales and customer priorities..
• Collaboration with Data Science: Regularly review and analyze business performance to identify areas for improvement and propose high impact initiatives across shopper, shelf, and promotion programs. Collaborate with data analysts to implement new tools and solutions.
• Business Communication: Translate data into actionable, business-focused actions and effectively communicate decision support narratives. Build strong relationships with business stakeholders to ensure alignment and support for business initiatives.
• Cross-Functional Collaboration: Work cross-functionally across the organization, including marketing, finance, operations, and product development, to be the voice of customer. Foster a culture of collaboration and continuous improvement.
• Continuous Improvement: Stay at the forefront of industry trends and best practices in analytics, seeking opportunities to enhance HBI's analytical capabilities and drive innovation. Promote a culture of continuous learning and improvement.
• Ad Hoc Analysis: Conduct ad hoc analysis as needed to support special projects and initiatives.

Minimum Education/ Experience

Bachelor's degree in business or a quantitative field such as statistics, mathematics, economics, computer science, or related field with 5+ years relevant work experience; 4+ years of equivalent work experience can be substituted for bachelor's degree

Preferred Education/ Experience

Master's degree with 3+ years relevant work experience.

Specific Skills or Experience Required

• 3+ years of experience in a category management, sales analyst, sales planning, or business analytics role, with a track record of conducting advanced data analysis.
• Proficient with Nielsen or Circana Point of Sale and Panel data.
• Experience in data analysis tools and programming languages such as SQL.
• Proficiency with Luminate is a big plus.
• Experience with data visualization tools such as Tableau, Power BI, or similar.

Job Specific Competencies

• Strong understanding of statistical techniques.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Proven ability to work independently and collaboratively in a fast-paced environment.

Core Competencies

• Data Fluency
• Written/verbal communication and listening
• Strong interpersonal and relationship skills
• Teamwork and collaboration
• Results orientation
• Adaptability

Core Values

• Play to Win - We expect to win, working together to drive results. We push ourselves to simplify and innovate. When we fail, learn from it. We will break with the past when necessary to move forward.
• Act Like Owners - We take action. We build relationships across functions so we can see the company holistically and seek out opportunities for improvement. We're willing to sacrifice in one area if that leads to our overall success.
• Do What's Right - We behave ethically. We are transparent. We share information about the factors influencing our actions. Our behavior aligns with our values. Our products make the world a better place.
• Create Opportunity for All - With success comes opportunity. Everyone is respected and included. We provide opportunities for all associates to reach their Full Potential.

This position requires full COVID-19 vaccination. Applicants may request exemption from the vaccine requirement for medical or religious reasons by contacting HBI_TA@hanes.com.

To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status.

EOE/AA: Minorities/Females/Veterans/Disabled.

Applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly by:

Telephone: 877.999.5553

Email: HBI_TA@hanes.com.

Job Segment: Computer Science, Category Manager, Merchandising, Product Development, Fashion Merchandising, Technology, Retail, Research, Fashion

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