📍 Job Overview

Job Title: Analyst, Capacity Planning
Company: C&S Wholesale Grocers
Location: Keene, NH (Remote)
Job Type: Full-Time
Category: Data Analysis & Business Intelligence
Date Posted: July 31, 2025
Experience Level: 2-5 years
Remote Status: Remote

🚀 Role Summary

Develop and maintain accurate data models for capacity planning across the C&S network.
Collaborate with cross-functional teams to ensure capacity analysis aligns with executed slotted plans.
Provide actionable recommendations to finance and operations teams, supported by clear communication and visual representations.
Utilize tools to analyze product moves and customer/DC relationships for new business potential.
Work with the network modeling team to provide inputs for modeling capacity and analyze output feasibility.

📝 Enhancement Note: This role requires strong analytical skills and the ability to communicate complex data-driven insights effectively to both technical and non-technical stakeholders.

💻 Primary Responsibilities

Data Modeling & Analysis: Develop and refresh data models using various data sources (MySQL, Teradata, Oracle, SQL Server) to keep baseline data up-to-date for optimization and simulation.
Capacity Planning: Utilize capacity planning tools to identify pinch points and potential future risks, balancing impacts to peripheral facility operations, labor concerns, and system constraints.
Collaboration: Work closely with slotting, engineering, operations, and other teams to ensure capacity analysis correlates with the actual executed slotted plan and gather feedback for tool modifications.
Communication: Present actionable recommendations to finance, operations, and senior leadership teams with clear, concise communication and visual representations.
New Business Analysis: Create and utilize tools to analyze product moves and customer/DC relationships to support the sales team in determining potential for new business and feasibility of proposed product flow and capacities.
Network Modeling: Work with the network modeling team to provide inputs for modeling capacity and analyze output to determine the feasibility of modeled solutions.

🎓 Skills & Qualifications

Education: Bachelor's Degree in Industrial Engineering, Business Analytics, or a related field.

Experience: 2-5 years of experience in distribution/warehousing, with a focus on capacity planning and/or optimization.

Required Skills:

Proficiency in MS-Office suite (MS-Access, MS-Excel, MS-PowerPoint)
Strong analytical skills
Familiarity with warehouse operating systems and labor-management systems
Good written and verbal communication skills
Ability to communicate with employees at all levels of the organization
Strong multi-tasking, communication, and organizational skills

Preferred Skills:

Experience with data modeling and simulation tools
Knowledge of distribution/warehousing operations and processes
Familiarity with network modeling and optimization techniques

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your ability to analyze and interpret complex data sets.
Showcase your proficiency in data modeling and visualization tools.
Highlight your experience in capacity planning, optimization, and simulation.
Include examples of effective communication of data-driven insights to non-technical stakeholders.

Technical Documentation:

Include documentation of your data modeling and analysis processes.
Showcase your ability to track and measure performance metrics.
Demonstrate your understanding of optimization techniques and their application to capacity planning.

💵 Compensation & Benefits

Salary Range: $65,000 - $85,000 per year (Based on industry standards for a mid-level data analyst role in the United States)

Benefits:

Health, dental, and vision insurance
401(k) retirement plan with company match
Paid time off (vacation, sick, and holidays)
Employee discounts on groceries and other products
Tuition reimbursement for continuing education

Working Hours: Full-time position with standard business hours (Monday-Friday, 8:00 AM - 5:00 PM, with flexibility for project deadlines and maintenance windows)

📝 Enhancement Note: The salary range provided is an estimate based on industry standards for a mid-level data analyst role in the United States. Actual compensation may vary based on factors such as experience, skills, and market conditions.

🎯 Team & Company Context

🏢 Company Culture

Industry: C&S Wholesale Grocers is a leading wholesale grocery supply company, serving independent supermarkets, chain stores, military bases, and institutions across the United States.

Company Size: Medium-sized company with a network of distribution centers and corporate offices throughout the United States.

Founded: 1918

Team Structure:

The capacity planning team works closely with operations, operations planning, slotting, industrial engineering, and other teams to develop and implement capacity programs.
The team is responsible for driving efficiency in product flow throughout the network.

Development Methodology:

The capacity planning team follows a data-driven approach, utilizing operations research and data analysis to develop and implement capacity programs.
The team works collaboratively with other departments to ensure capacity analysis aligns with executed slotted plans and actual facility operations.

Company Website: C&S Wholesale Grocers

📝 Enhancement Note: C&S Wholesale Grocers values data-driven decision-making and continuous improvement, making this an excellent opportunity for a motivated data analyst to make a significant impact on the company's operations.

📈 Career & Growth Analysis

Data Analyst Career Level: This role is suitable for a mid-level data analyst with 2-5 years of experience in capacity planning, optimization, or a related field. The ideal candidate will have a strong foundation in data analysis and a proven track record of driving operational improvements through data-driven insights.

Reporting Structure: The capacity planning analyst reports directly to the capacity planning manager and works closely with various teams, including operations, operations planning, slotting, and industrial engineering.

Technical Impact: The capacity planning analyst will have a significant impact on C&S Wholesale Grocers' operations by developing and implementing capacity programs that enhance product flow efficiency across the network. This role will also support new business development by analyzing product moves and customer/DC relationships for potential new business opportunities.

Growth Opportunities:

Technical Growth: Expand your skills in data modeling, optimization, and simulation tools to drive continuous improvement in capacity planning processes.
Leadership Development: Demonstrate strong performance and leadership potential to take on more responsibilities and eventually lead capacity planning projects or teams.
Career Progression: Leverage your experience in capacity planning to transition into related roles, such as supply chain management, operations management, or data science.

📝 Enhancement Note: This role offers ample opportunities for career growth and development, as C&S Wholesale Grocers values internal promotions and fosters a culture of continuous learning and improvement.

🌐 Work Environment

Office Type: The capacity planning analyst will work remotely, with occasional on-site visits to distribution centers or corporate offices as needed.

Office Location(s): Keene, NH (Remote)

Workspace Context:

Remote Work: The capacity planning analyst will work remotely, utilizing virtual collaboration tools to communicate and collaborate with team members and stakeholders.
Office Equipment: The company will provide the necessary hardware and software for the analyst to perform their job effectively, including a laptop, monitor, and access to relevant data sources and tools.
Work-Life Balance: C&S Wholesale Grocers values work-life balance and offers flexible working arrangements to support employees' personal and professional needs.

Work Schedule: Full-time position with standard business hours (Monday-Friday, 8:00 AM - 5:00 PM), with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: The remote work arrangement for this role allows for greater flexibility and work-life balance, making it an attractive opportunity for data analysts looking to advance their careers while maintaining a healthy work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone or video call to discuss your background, experience, and interest in the role.
Technical Assessment: A hands-on data analysis and modeling exercise to evaluate your technical skills and problem-solving abilities.
Behavioral Interview: A conversation-focused interview to assess your communication skills, cultural fit, and motivation for the role.
Final Interview: A meeting with key stakeholders to discuss your technical approach, career goals, and fit within the team.

Portfolio Review Tips:

Highlight your experience in data analysis, modeling, and optimization.
Include examples of your ability to communicate complex data-driven insights to non-technical stakeholders.
Showcase your understanding of capacity planning, operations research, and supply chain management principles.

Technical Challenge Preparation:

Brush up on your data analysis and modeling skills, focusing on tools relevant to the role, such as MS-Office suite, SQL, and data visualization software.
Familiarize yourself with warehouse operating systems and labor-management systems, as well as capacity planning tools and techniques.
Prepare for behavioral interview questions by reflecting on your past experiences and accomplishments, focusing on the skills and qualities required for this role.

ATS Keywords: Data Analysis, Data Modeling, Capacity Planning, Optimization, Supply Chain Management, Operations Research, SQL, MS-Office Suite, Warehouse Operating Systems, Labor-Management Systems

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, problem-solving abilities, and cultural fit within the team. By preparing thoroughly and showcasing your relevant experience and accomplishments, you will increase your chances of success in the interview process.

🛠 Technology Stack & Web Infrastructure

Data Analysis & Modeling Tools:

MS-Office suite (MS-Access, MS-Excel, MS-PowerPoint)
SQL (MySQL, Teradata, Oracle, SQL Server)
Data visualization software (e.g., Tableau, Power BI)

Warehouse Operating Systems & Labor-Management Systems:

Various warehouse operating systems and labor-management systems used by C&S Wholesale Grocers

Capacity Planning Tools:

Various capacity planning tools used by C&S Wholesale Grocers

📝 Enhancement Note: The technology stack for this role is focused on data analysis, modeling, and visualization tools, as well as warehouse operating systems and capacity planning tools relevant to the wholesale grocery supply industry.

👥 Team Culture & Values

Data Analysis Values:

Accuracy: C&S Wholesale Grocers values accurate and reliable data analysis to support informed decision-making.
Collaboration: The capacity planning team works closely with various departments to ensure capacity analysis aligns with executed slotted plans and actual facility operations.
Continuous Improvement: The company fosters a culture of continuous learning and improvement, encouraging data analysts to expand their skills and drive operational improvements.

Collaboration Style:

Cross-Functional Collaboration: The capacity planning team works closely with operations, operations planning, slotting, industrial engineering, and other teams to develop and implement capacity programs.
Data-Driven Decision-Making: C&S Wholesale Grocers values data-driven decision-making and encourages data analysts to provide actionable insights and recommendations to support operational improvements.
Knowledge Sharing: The company encourages data analysts to share their knowledge and expertise with team members and stakeholders to drive continuous learning and improvement.

📝 Enhancement Note: C&S Wholesale Grocers values data-driven decision-making, collaboration, and continuous improvement, making it an ideal environment for a motivated data analyst looking to make a significant impact on the company's operations.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Modeling: Develop and maintain accurate data models for capacity planning across the C&S network, utilizing various data sources and tools.
Capacity Planning: Identify pinch points and potential future risks in capacity planning, balancing impacts to peripheral facility operations, labor concerns, and system constraints.
New Business Analysis: Analyze product moves and customer/DC relationships to support the sales team in determining potential for new business and the feasibility of proposed product flow and capacities.
Network Modeling: Work with the network modeling team to provide inputs for modeling capacity and analyze output to determine the feasibility of modeled solutions.

Learning & Development Opportunities:

Technical Skill Development: Expand your skills in data modeling, optimization, and simulation tools to drive continuous improvement in capacity planning processes.
Industry Knowledge: Gain a deep understanding of the wholesale grocery supply industry, its operations, and best practices for capacity planning and optimization.
Leadership Development: Demonstrate strong performance and leadership potential to take on more responsibilities and eventually lead capacity planning projects or teams.

📝 Enhancement Note: This role offers numerous technical challenges and learning opportunities, allowing a motivated data analyst to grow their skills and make a significant impact on C&S Wholesale Grocers' operations.

💡 Interview Preparation

Technical Questions:

Data Analysis: Describe your experience with data analysis and modeling, focusing on tools relevant to the role, such as MS-Office suite, SQL, and data visualization software.
Capacity Planning: Explain your understanding of capacity planning principles and techniques, and how you have applied them in previous roles.
Problem-Solving: Walk through a real-life example of a complex data analysis or capacity planning challenge you faced in a previous role and how you overcame it.

Company & Culture Questions:

Company Culture: Describe what you know about C&S Wholesale Grocers' company culture and how you think you would fit within the team.
Data-Driven Decision-Making: Explain your experience with data-driven decision-making and how you have used data analysis to support operational improvements in previous roles.
Collaboration: Describe your experience working with cross-functional teams and how you have ensured alignment between capacity analysis and actual facility operations.

Portfolio Presentation Strategy:

Data Analysis: Highlight your experience in data analysis and modeling, focusing on tools relevant to the role and including visual representations of your findings.
Capacity Planning: Showcase your understanding of capacity planning principles and techniques, and how you have applied them in previous roles to drive operational improvements.
Communication: Demonstrate your ability to communicate complex data-driven insights effectively to both technical and non-technical stakeholders.

📝 Enhancement Note: The interview process for this role is designed to assess your technical skills, problem-solving abilities, and cultural fit within the team. By preparing thoroughly and showcasing your relevant experience and accomplishments, you will increase your chances of success in the interview process.

📌 Application Steps

To apply for this capacity planning analyst position:

Resume Optimization: Tailor your resume to highlight your relevant experience in data analysis, capacity planning, and optimization. Include specific examples of your accomplishments and the impact you made in previous roles.
Portfolio Preparation: Prepare a portfolio showcasing your experience in data analysis, modeling, and optimization. Include examples of your ability to communicate complex data-driven insights to non-technical stakeholders.
Interview Preparation: Brush up on your data analysis and modeling skills, focusing on tools relevant to the role, such as MS-Office suite, SQL, and data visualization software. Familiarize yourself with warehouse operating systems and capacity planning tools and techniques. Prepare for behavioral interview questions by reflecting on your past experiences and accomplishments, focusing on the skills and qualities required for this role.
Company Research: Research C&S Wholesale Grocers' company culture, values, and mission. Understand the wholesale grocery supply industry and the role of capacity planning in driving operational improvements.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Analyst, Capacity Planning