AI Data Analyst (Sales)

Role Summary

The AI Analyst will support Revenue Operations by engineering and enabling the adoption of AI-driven agents, scaling analytics and workflows for revenue driving sales teams within Paymode. This role combines data analytics expertise with AI implementation capabilities, focusing on preparing high-quality, governed data and deploying AI solutions that improve efficiency, accelerate insights, and drive business outcomes.

Key Responsibilities

• Identify and implement AI use cases that improve RevOps processes, reporting, and operational efficiency.
• Lead AI agent deployment for sales functions end-to-end, including use case definition, intake, testing, deployment, and adoption.
• Prepare and structure data to support AI applications, including building and maintaining reusable datasets and semantic models.
• Ensure data quality, governance, and consistency to enable trusted AI-driven insights.
• Support AI-enabled analytics tools to enable faster, self-service insights for business users.
• Partner with RevOps and cross-functional teams to translate business needs into data and AI solutions, while rationalizing the AI deployment pipeline based on sales need and validated business cases.
• Identify opportunities to automate manual processes and scale analytics capabilities within Revenue Operations.
• Contribute to AI roadmap development and continuous improvement of AI capabilities.
• Ensure all AI initiatives comply with enterprise governance, risk, and security standards.

Required Qualifications

• 0-3 years of experience in data analytics, business intelligence, or a related field.
• Strong SQL and data modeling skills; experience with BI tools (e.g., Power BI, Snowflake).
• Hands-on experience working with structured datasets and building scalable data solutions.
• Experience with AI tools and technologies, including generative AI, natural language query tools, or AI-assisted analytics.
• Understanding of corporate AI implementation, including use case development, deployment, and adoption processes.
• Knowledge of AI governance, risk, and compliance considerations in an enterprise environment.
• Strong problem-solving skills with the ability to translate business requirements into technical solutions.
• Experience working cross-functionally with business and technical teams.

Preferred Qualifications

• Experience enabling self-service analytics or semantic modeling strategies.
• Familiarity with enterprise data architecture and data governance frameworks.
• Experience piloting or scaling AI use cases within business operations.
• Experience in business analyst function within SaaS and/or Payments industry.

Core Competencies

• Data-first mindset with strong focus on quality and scalability.
• Forward-thinking and innovative approach to problem solving.
• Ability to connect AI capabilities to tangible business impact.
• Strong communication and collaboration skills.
• Execution-oriented with the ability to move from idea to production.

Success Measures

• Increased adoption of AI-enabled workflows by Sales teams within Paymode.
• Reduced manual reporting and analysis effort.
• Faster time to insight and decision-making within Rev Ops and Sales.
• Measurable improvements in RevOps efficiency and scalability.