AI-Driven Payments Data Analyst

Capgemini; Boston (MA); On-site; USD 40,000 - 63,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a skilled Payments Systems Specialist to support Verifone terminals and related hardware/software. The role emphasizes collaboration across technical and non-technical teams, with reliance on AI tools to accelerate troubleshooting and documentation across enterprise payment projects.

The candidate should have 3+ years in payment hardware/software support, strong analytical capabilities, and experience negotiating with payment processors like Fiserv.

Qualifications

• 3+ years supporting payment hardware/software
• 2+ years consulting with cross-functional teams
• Strong analytical skills including root cause analysis, identifying trends, researching and analyzing data, drawing conclusions, resolving issues, interpreting and understanding policies/procedures/laws/regulations
• Experience working with payment processors (Fiserv a plus)
• Tokenization processes knowledge for credit cards

Responsibilities

• Support payment hardware and software for terminals
• Collaborate with cross-functional teams to resolve issues
• Review debug logs and coordinate with vendors to identify root causes
• Assist in configuring, deploying and improving payment solutions for Dunkin and Baskin-Robbins
• Document processes, workarounds and knowledge base updates
• Communicate status updates, risks and actions to management
• Leverage AI tools to enhance troubleshooting and documentation

Skills

Verifone terminals experience

AI tools familiarity

Cross-functional collaboration

Analytical skills

Vendor coordination

Problem-solving

Tools

VHQ

Azure

Payment terminals

Job description

Tundra Technical Solutions is seeking a skilled Payments Systems Specialist to support Verifone terminals and related hardware/software. The role emphasizes collaboration across technical and non-technical teams, with reliance on AI tools to accelerate troubleshooting and documentation across enterprise payment projects.

The candidate should have 3+ years in payment hardware/software support, strong analytical capabilities, and experience negotiating with payment processors like Fiserv.