DATA ANALYST, HYBRID)

About the Role

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.

Key Responsibilities

• 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.

Requirements & Tech Stack

• Proficiency in Microsoft Excel, including sorting, filtering, formulas, and data manipulation.
• Ability to work with large datasets and identify inconsistencies or missing information.
• Comfortable learning new software, databases, and research tools.
• 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.

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.
• Strong research, organizational, and analytical problem-solving skills.
• Effective written and verbal communication skills.
• Ability to manage multiple requests and meet deadlines.
• Internship, coursework, or previous experience involving data analysis, research, or data management is preferred.