Data Analyst

SpendHQ•Atlanta, GA

14d•Hybrid

About The Position

SpendHQ is a fast-growing and dynamic Procuretech Scale-up with an incredible collaborative company culture. Our team is constantly innovating – we invented performance management for procurement and we are a market leader and innovator in spend analytics. We provide procurement teams with the tools they need to drive value for their organization, and we have fun doing it. The SpendHQ SaaS solution has been on the market for over 10 years. Our clients are recognized market leaders from both mid-size organizations and large, multinational corporations. There are 20,000+ SpendHQ users across 500+ global clients. It is thanks to each of our employees that we are where we are today. We proudly have over 100 team members in 10 countries with headquarters in both Atlanta and Lyon. But we are not stopping here. SpendHQ is taking on new challenges and we look forward to continuing to grow the company and team. Where would you fit in the team? As a Data Analyst you will play a critical part in ensuring the success of our customers by combining strong technical expertise with client engagement. You will help support and develop scalable data workflows, assist with analysis and process improvement and collaborate with senior team members This is a client-facing, data-driven role that collaborates closely with Implementation, Customer Success, and internal analytics teams.

Requirements

1–3 years of experience in data analytics, with hands-on experience in SQL and data transformation tools
Proficiency in SQL and Excel
Strong communication and documentation skills with the ability to translate technical concepts for business audiences
Excellent attention to detail with strong data validation and quality assurance capabilities
Analytical mindset with strong problem-solving and critical thinking skills
Ability to identify data anomalies and gaps and develop effective solutions
Strong organizational skills with the ability to manage multiple priorities and projects
Experience working with clients or stakeholders in a customer-facing environment
AI literacy skills
Fluency in English (both written and spoken) as the primary working language.

Responsibilities

Build and maintain strong relationships with customers during the refresh process, serving as a trusted data and analytics partner.
Write, test, and implement business rules and data transformations through scalable and repeatable workflows.
Leverage modern AI tools to accelerate troubleshooting, streamline repetitive tasks, and enhance technical documentation.
Explain technical issues clearly to customers and non-technical stakeholders while helping drive issues to resolution.
Support client project delivery through data integration, validation, and quality assurance processes.
Identify opportunities to improve internal processes, increasing efficiency, accuracy, and scalability.
Partner cross-functionally across Data & Analytics, Implementation, Solutions, and Customer Success to solve challenges and deliver exceptional customer outcomes.