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Senior Analyst, Specialty Commercial Strategy - Remote

Sysco Northeast Rdc

Houston (TX)

Remote

USD 80,000 - 100,000

Full time

Today
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Job summary

A leading food distribution company seeks a Senior Analyst to develop data-driven strategies. You will analyze performance data, create automated tools, and support decision-making processes. The ideal candidate has a Bachelor's degree, 3+ years of analytics experience, and proficiency in SQL and Excel. This role requires strong communication skills and a detail-oriented approach in a dynamic environment.

Qualifications

  • 3+ years of experience in analytics, business intelligence, or strategy roles.
  • Industry experience preferred in Food Distribution, CPG, Retail, Consulting, or Financial Services.
  • Exposure to Merchandising, Category Management, or P&L analysis is highly desirable.

Responsibilities

  • Analyze business and category performance data to uncover actionable insights.
  • Conduct deep-dive analyses to assess business challenges and opportunities.
  • Design and build automated analytical tools for category management.
  • Develop and maintain advanced SQL queries to extract and validate data.
  • Translate complex data into presentations for leadership discussions.

Skills

Data manipulation
Data visualization
Analytical skills
SQL
Excel
PowerPoint
Communication
Critical thinking

Education

Bachelor's degree in business, Mathematics, Economics, Analytics, or a related field
Master's in Business Analytics, Finance, or related discipline

Tools

Excel
PowerPoint
SQL
Python
Job description
Position Summary

The Senior Analyst will support the development and execution of data-driven strategies across Sysco’s Specialty companies. This role is responsible for generating actionable insights through deep analysis of business & category performance, trends, and customer dynamics. The Senior Analyst will partner closely with leadership team to design identify and prioritize category opportunities, drive strategic recommendations, and enhance decision-making processes across category management, assortment optimization, and program performance.

This individual must be intellectually curious, detail-oriented, and highly proficient in data manipulation and visualization tools. The role requires a strong balance of technical skills, business acumen, and communication capabilities to effectively synthesize insights and drive impact in a fast-paced, matrixed environment.

Key Responsibilities
  • Analyze business and category performance data to uncover actionable insights and support strategic decision-making.
  • Conduct ad hoc deep-dive analyses to assess business challenges and opportunities, working closely with Commercial Strategy leadership.
  • Design and build scalable, automated analytical tools to support category management, assortment strategy, and program effectiveness.
  • Develop and maintain advanced SQL queries and scripts to extract, transform, and validate data from various internal systems.
  • Translate complex data into clear, compelling presentations using Excel and PowerPoint to support leadership discussions.
  • Gain a deep understanding of Sysco’s category P&L structure and the key levers that impact merchandising economics and gross profit performance.
  • Contribute to the development of program and pilot KPIs and reporting frameworks used to manage and track performance across Specialty businesses.
Education & Experience Requirements
  • Required: Bachelor’s degree in business, Mathematics, Economics, Analytics, or a related field.
  • Preferred: Advanced degree (e.g., Master’s in Business Analytics, Finance, or related discipline).
  • Experience:
    • 3+ years of experience in analytics, business intelligence, or strategy roles.
    • Industry experience preferred in Food Distribution, CPG, Retail, Consulting, or Financial Services (Banking/Private Equity).
    • Exposure to Merchandising, Category Management, or P&L analysis is highly desirable.
Technical Skills & Competencies
  • Advanced proficiency in Excel (pivot tables, lookups, complex formulas) and PowerPoint.
  • Strong SQL skills required; proficiency in Python a plus.
  • Demonstrated ability to manage large, complex datasets and extract insights that drive business impact.
  • Strong quantitative and critical thinking skills with a high level of data curiosity.
  • Excellent written and verbal communication skills, including ability to simplify complex topics for diverse audiences.
  • Ability to manage multiple priorities and deadlines in a dynamic, fast-paced environment.
  • Self-starter who works independently, with a strong sense of ownership and accountability.
  • Attention to detail and a commitment to data integrity and accuracy.

Active learner with a mindset of continuous improvement and innovation.

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