GTM Data Analyst

Global Payments Inc.Oklahoma City, OK

About The Position

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. The GTM Data Analyst is responsible for maintaining and optimizing critical sales and partner data structures that power SMB go-to-market operations. This role ensures the integrity, accuracy, and usability of hierarchy data across Snowflake and Salesforce, enabling reliable reporting, efficient sales execution, and data-driven decision-making.

Requirements

  • 2–5+ years of experience in Sales Operations, Revenue Operations, Data Analytics, or similar role
  • Working knowledge of Salesforce (data model, reporting, dashboards)
  • Working knowledge of Snowflake (data querying, table structures, data validation)
  • Strong SQL skills for data extraction and analysis
  • Experience building reports and dashboards for business stakeholders
  • Strong attention to detail and commitment to data accuracy

Nice To Haves

  • Experience with sales or partner hierarchy management
  • Familiarity with data orchestration, ETL/ELT processes, or data pipelines
  • Experience with BI tools (e.g., Power BI, Tableau)
  • Understanding of SMB sales or partner go-to-market models

Responsibilities

  • Maintain and manage SMB sales and partner hierarchy tables within Snowflake, ensuring accuracy, completeness, and alignment to business structures
  • Translate and synchronize hierarchy data into Salesforce, supporting account, partner, and sales reporting frameworks
  • Monitor and validate data flows between Snowflake and Salesforce, proactively identifying and resolving discrepancies
  • Support ongoing data hygiene efforts, including deduplication, normalization, and data quality enforcement
  • Serve as a subject matter resource for Salesforce hierarchy structures (Accounts, Partners, Territories, etc.)
  • Ensure Salesforce reflects the most up-to-date and accurate hierarchy data to support routing, segmentation, and reporting
  • Partner with Sales Operations, Partner Operations, and GTM Technology teams to implement hierarchy updates and enhancements
  • Develop and maintain dashboards and reports in Salesforce to support SMB sales and partner leadership
  • Translate business requirements into scalable reporting solutions that provide actionable insights
  • Analyze data trends and provide recommendations to improve sales and partner performance
  • Support ad hoc reporting and data analysis requests across SMB stakeholders
  • Establish and monitor processes that ensure data accuracy, consistency, and governance across systems
  • Perform QA checks, anomaly detection, and ongoing validation of hierarchy and reporting data
  • Document processes, data definitions, and hierarchy logic for transparency and scalability
  • Collaborate cross-functionally with Sales Ops, Marketing Ops, BI, and Data Engineering teams
  • Support enhancements to data models, reporting frameworks, and automation processes
  • Contribute to broader data orchestration initiatives and tooling improvements as needed
  • Execute ad hoc data requests and analysis to support evolving SMB GTM needs
  • Support ongoing enhancement of data orchestration frameworks and processes

Benefits

  • Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service