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Senior Analyst, Merchandising Growth & Operations - GSC - US

Houston, TX

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Job ID R175954 Date posted 11/06/2024

Employment Type Full time

Company name US6469 Sysco Payroll, Division of Sysco Resources Services, LLC

Compensation Range The pay range provided is not indicative of Sysco’s actual pay range but is merely algorithmic and provided for generalized comparison. Factors that may be used to determine rate of pay include specific skills, work location, work experience and other individualized factors

Requirements The Senior Analyst will be responsible for generating and analyzing data related to business and category performance, supporting Merchandising leadership in deep-dive analyses, and developing scalable analytical solutions to address critical business questions. The Senior Analyst will be required to capture and manipulate data to define the current business/category profile; analyze, design, and recommend future business strategies; and synthesize and communicate findings to leadership. This role requires a strong analytical mindset and data curiosity, expertise in data manipulation tools, and the ability to drive actionable insights to enhance business strategies

Description

Job Summary:

The Senior Analyst will be responsible for generating and analyzing data related to business and category performance, supporting Merchandising leadership in deep-dive analyses, and developing scalable analytical solutions to address critical business questions. The Senior Analyst will be required to capture and manipulate data to define the current business/category profile; analyze, design, and recommend future business strategies; and synthesize and communicate findings to leadership. This role requires a strong analytical mindset and data curiosity, expertise in data manipulation tools, and the ability to drive actionable insights to enhance business strategies

Duties and Responsibilities:

  • Generate and analyze data on business and category performance to provide actionable insights, performing complex analyses to support decision-making processes within the Merchandising team. Aggregate insights to facilitate the development of category and assortment strategies, identifying a targeted objective to support overall business management.

  • Support Merchandising leadership in conducting ad hoc deep dive analyses to address specific business challenges. Design and execute analytical projects to uncover trends, opportunities, and areas for improvement.

  • Design and develop scalable analytical solutions to support Merchandising, Category Management and Assortment Strategy activities, leveraging automation and advanced data querying and manipulation tools to streamline analytical processes.

  • Develop a deep familiarity with back-end source tables to create scripts for efficient data querying. Ensure accuracy and reliability of data by continuously monitoring and validating data sources and tools.

  • Identify areas for improvement in existing analytical tools and processes, especially those related to Merchandising Analytics. Recommend and implement enhancements to optimize data analysis efficiency and accuracy.

  • Regularly collaborate with Merchandising teams to enhance product and assortment knowledge. Develop insights on business performance and strategies to guide decision-making.

  • Develop a deep understanding of the organization's categories and assortment offerings. Familiarize yourself with key performance indicators (KPIs) used to manage the business, specifically the components that make up Sysco’s P&L at the category level (e.g. Merchandising economics).

Education Required:

Bachelor’s degree in business, Math, or a related field.

Education Preferred:

Advanced degree preferred

Experience Required:

3+ years of experience

Experience Preferred:

​Merchandising or Category Management.

Industries preferred: Distribution, Consulting, Retail/CPG, Banking/Private Equity

Technical Skills and Abilities:

  • Advanced Excel and PowerPoint skills required.

  • Proficiency in SQL required with preference towards Python.

  • Analytical thinker who can draw sound business conclusions from multiple sources of information and has a strong curiosity of data.

  • Experienced quantitative problem solver who can manage complex issues and interpret large data sets comfortably.

  • Strong communication skills and ability to present complex data insights in a clear and concise manner.

  • Self-driven individual who can manage multiple projects in a fast-paced environment and adapt to shifting priorities.

  • Proven track record of driving process improvements and implementing scalable solutions.

  • Active learner with a propensity for continuous improvement.

  • Able to work independently and proactively within the defined scope of responsibility.

  • Detail-oriented.

Physical Demands:

Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job.

Travel Requirements:

N/A

Overview Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations. We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We’re looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service.

AFFIRMATIVE ACTION STATEMENT Applicants must be currently authorized to work in the United States. We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law. This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.

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