Solutions Data Analyst

SpendHQ is a procuretech company providing spend analytics and procurement performance-management solutions. The Solutions Data Analyst prepares, analyzes, validates, and transforms procurement data to support proof-of-concept evaluations, data health checks, sales opportunities, and solution design. This non-client-facing role also supports platform testing, data-quality investigations, AI/ML capability validation, and process improvement across internal teams.

What you'll do:

• Support data collection and data transformation of spend data used for POC or Data Health Check
• Analyze and map complex datasets to identify trends, anomalies, categorization opportunities, and actionable insights
• Ensure high confidence categorization leveraging SpendHQ categorization tools and processes
• Assess data quality, completeness, consistency, and suitability for use within the SpendHQ platform
• Perform data reconciliation and quality-control checks to ensure analytical accuracy
• Document data assumptions, transformation logic, limitations, and findings
• Create repeatable analytical workflows that improve efficiency and consistency
• Support Solutions Consultants with the data and analysis required for sales opportunities (POCs and Data Health Check)
• Translate business and procurement requirements into clear analytical and technical specifications
• Assist with technical discovery analysis and POC scoping
• Prepare internal summaries of data findings, potential risks, and considerations
• Help confirm feasibility of data-related success criteria for POCs

What they're looking for:

• Bachelor's degree in Data Analytics, Data Science, Information Systems, Engineering, Business, Economics, Supply Chain, or a related field
• At least one year of experience in data analysis, business intelligence, SaaS, procurement analytics, consulting, or a related field
• Experience cleaning, transforming, validating, and interpreting structured data
• Ability to identify data-quality issues, investigate their root causes, and recommend practical solutions
• Strong attention to detail and commitment to analytical accuracy
• Ability to translate business requirements into data and technical requirements
• Clear written communication skills, particularly when documenting analytical findings, processes, and assumptions
• Ability to manage multiple assignments under tight deadlines
• High technical curiosity and the ability to quickly learn new tools, technologies, and data models
• Collaborative and comfortable working across Sales, Product, Delivery, Engineering, and Customer Success teams
• Atlanta is our preferred location, with a hybrid work arrangement based at our U.S. headquarters
• First experience with Excel, SQL, Python, business intelligence tools, or data-analytics tools is preferred

Benefits:

• Unlimited PTO
• Health insurance
• 401(k)
• Performance bonus
• Remote work policy
• Flexible working hours
• Parental leave
• Equity Program
• Referral bonus
• Atlanta is our preferred location, with a hybrid work arrangement based at our U.S. headquarters.