**DATA ANALYST (CHARLOTTE, NC - HYBRID)**

A family of companies and experiences

As the leading foodservice and support services company, Compass Group USA is known for our great people, great service and our great results. If you’ve been hungry and away from home, chances are you’ve tasted Compass Group’s delicious food and experienced our outstanding service. We have over 284,000 US associates who work in award-winning restaurants, corporate cafes, hospitals, schools, arenas, museums, and more in all 50 states. Our reach is constantly expanding to shape the industry and create new opportunities for innovation. Join the Compass family today!

great people. great services. great results.

Each and every individual plays a key role in the growth and legacy of our company. We know the next big idea can come from anyone. We encourage developing and attracting expertise that differentiates us as a company as we continue to raise the bar.

This position is eligible for an Employee Referral Bonus! If you know someone that is qualified for this role, please use the ‘job search’ in PeopleHub to refer your referral and email them a link to apply. Your referral will be able to apply by clicking the link in the email. You can check the status through your profile, accessible via Careers in PeopleHub, by clicking on ‘referral tracking.’ For Employee Referral guidelines, FAQs and the Compass Employee Referral Policy, email MyReferral@compass-usa.com.

Position Summary

Compass Group USA is seeking a detail-oriented Data Analyst to support our Sales Data & Analytics team. This position focuses on gathering, validating, researching, and organizing data to support sales initiatives, market intelligence, and business decision-making.

The Data Analyst will work with internal and third-party data sources to fulfill ad hoc requests, identify prospective customers, validate existing records, and improve overall data quality.

The ideal candidate is curious, organized, comfortable working with large datasets, and enjoys researching information, solving problems, and finding ways to make processes more efficient.

Data Collection & Market Research

• Retrieve and organize datasets from internal systems and third-party data providers.
• Conduct company, industry, and market research to support sales prospecting and business development.
• Identify potential customers, business locations, and organizational relationships.
• Research and verify company information, including business names, addresses, ownership structures, and other relevant attributes.
• Combine and organize information from multiple sources into standardized deliverables.

Data Quality & Validation

• Review datasets for accuracy, completeness, consistency, and duplication.
• Perform quality-control checks on customer and prospect records.
• Research discrepancies between data sources and recommend corrections.
• Validate company names, addresses, locations, and customer relationships using available reference sources.
• Support data cleansing, standardization, and record-matching activities.

Ad Hoc Requests & Sales Support

• Fulfill data and research requests from Sales and business stakeholders.
• Prepare customer lists, prospecting datasets, market summaries, and other analytical deliverables.
• Perform record lookups and research to identify missing or incomplete information.
• Organize results in Excel or other approved formats for business use.
• Track requests, document findings, and communicate progress to stakeholders.

Process Improvement & Documentation

• Maintain organized datasets, research documentation, and repeatable procedures.
• Identify opportunities to streamline recurring data collection and validation activities.
• Support basic automation and data-processing initiatives as skills develop.
• Partner with senior analysts and technical teams to improve data processes and workflows.

Required Qualifications

• Bachelor's degree in Business, Analytics, Information Systems, Economics, Finance, or a related field, or equivalent relevant experience.
• Strong attention to detail and commitment to data accuracy.
• Proficiency in Microsoft Excel, including sorting, filtering, formulas, and data manipulation.
• Strong research, organizational, and analytical problem-solving skills.
• Ability to work with large datasets and identify inconsistencies or missing information.
• Comfortable learning new software, databases, and research tools.
• Effective written and verbal communication skills.
• Ability to manage multiple requests and meet deadlines.

Preferred Qualifications

• Internship, coursework, or previous experience involving data analysis, research, or data management.
• Familiarity with SQL for querying and analyzing data.
• Exposure to Python or other data-processing and automation tools.
• Experience with CRM platforms such as Microsoft Dynamics or Salesforce.
• Familiarity with third-party business data providers or market research platforms.
• Experience with data cleansing, duplicate identification, or record matching.
• Exposure to Power BI, Snowflake, or Microsoft Fabric.

Key Competencies

Attention to Detail: Produces accurate, complete, and reliable data.

Research & Problem-Solving: Independently investigates information and resolves discrepancies.

Curiosity & Initiative: Asks questions, explores new approaches, and demonstrates a willingness to learn.

Organization & Accountability: Manages requests, documents work, and delivers results on time.

Collaboration: Works effectively with analysts, business stakeholders, and technical teams.

Adaptability: Comfortable working across different datasets, systems, and changing business priorities.

Measures of Success

• Accuracy and completeness of delivered datasets.
• Timely completion of data requests and research assignments.
• Quality and consistency of data validation activities.
• Ability to identify and resolve missing, duplicate, or incorrect records.
• Improvemen