AI Data Analyst (Sales)

Why Choose Bottomline

Are you ready to transform the way businesses pay and get paid Bottomline is a global leader in business payments and cash management with over 35 years of experience and moving more than $16 trillion in payments annually. Were looking for passionate individuals to join our team and help drive impactful results for our customers. If youre dedicated to delighting customers and promoting growth and innovation - we want you on our team!

AI Data Analyst (Sales) Revenue Operations

Role Summary

TheAI Analystwill support Revenue Operations byengineering andenabling the adoptionof AI-drivenagentsscalinganalyticsand workflowsfor revenue driving sales teams within Paymode. This role combines data analyticsexpertisewith AI implementation capabilities focusing on preparing high-quality governed data and deploying AI solutions that improve efficiency accelerate insights and drive business role will directlyimpacthow people AI dataand technology work together to driverevenuegrowth.

This individual will act as a bridge betweensalesbusiness stakeholders data infrastructure and AI technologies helping transition the organization toward more automated and scalable decision-makingand role will influencethe system of record thatPaymode sales-orientedautomationsand modelsreadfrom andvalidate the accuracy of the outcomes.

Key Responsibilities

• Identify and implement AI use cases that improve RevOps processes reporting and operational efficiency.
• Lead AIagent deployment for sales functionsend-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 withRevOpsand cross-functional teams to translate business needs into data and AI solutions while rationalizing the AI deployment pipeline based on sales need andvalidated business cases.
• Identify opportunities to automate manual processes and scale analytics capabilitieswithin 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 communicationand 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-makingwithin Rev Ops and Sales.
• Measurable improvements inRevOpsefficiency and scalability

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We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. Were proud to be an equal opportunity employer committed to creating an inclusive and open environment for everyone.