Business Analyst, E-Commerce
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.

HBI is seeking a highly skilled and motivated individual to join our Business Analytics, e-Commerce team. This role focuses on driving significant business value to our growing e-Commerce businesses, platforms and partnerships including Amazon, HBI owned retail sites, and strategic retailer.coms. The successful candidate will work closely with stakeholders across the organization to identify business needs, develop analytical solutions, and translate data-driven insights into actionable business actions aimed at driving profitable growth opportunities.

Responsibilities

• Business Acumen and Analysis: Develop a deep understanding of HBI's business strategies, objectives, and competitive landscape. Support marketing, sales, product, finance, and supply chain teams to leverage data-driven analytics for informed decision-making that drive business outcomes, results, and value. Identify critical business challenges and growth opportunities, using analytics to propose inventive solutions that drive growth, efficiency, cash generation, and profitability specific to the e-commerce and digital landscape.
• Data Analysis: Conduct analyses to identify trends, patterns, and correlations within data. Utilize tools and techniques to extract actionable insights from data and support business decision-making. Build visual analytics and dashboards as appropriate.
• Business Problem Solving and Collaboration with Data Science: Develop business cases and frame analytical solutions that address business problems and opportunities. Regularly review and analyze business performance to identify areas for improvement and collaborate with others to implement these solutions effectively.
• 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 analytical initiatives.
• Cross-Functional Collaboration: Collaborate with teams across the organization, including marketing, finance, operations, and product development, to identify analytical needs.
• Continuous Improvement: Stay abreast of industry trends and best practices in analytics and seek opportunities to enhance analytical capabilities and drive innovation.
• 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 mathematics, economics, data analytics, or related field with 3+ years relevant work experience; 4+ years of equivalent work experience can be substituted for Bachelor's degree.

Preferred Education/ Experience

Master's degree with 1+ relevant work experience.

Specific Skills or Experience Required

• Strong analytical skills with the ability to analyze complex datasets and derive actionable insights.
• Proficiency in analysis tools and business intelligence software such as PowerBI.
• Familiarity with statistical analysis and data visualization techniques.
• Ability to align analytical solutions with business objectives and strategies.
• Strong understanding of retail operations, product lifecycle management, and/or supply chain is a significant plus.

Job Specific Competencies

• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Strong presentation skills and the ability to influence decision-makers.
• Strong problem-solving and critical thinking abilities.
• Ability to synthesize large amounts of data into clear and actionable insights
• 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.

Nearest Major Market: Winston-Salem
Job Segment: Supply Chain, Business Analyst, Statistics, Garment, Apparel, Operations, Finance, Data, Fashion

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