AI Revenue Operations Analyst — Data & Automation

Bottomline

Portsmouth (NH)

In loco

USD 90.000 - 120.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Bottomline in the United States is seeking an AI Data Analyst (Sales) – Revenue Operations to drive AI-enabled analytics for Paymode. You will bridge sales, data, and AI to deliver scalable insights and automation.

You will own data preparation, governance, and deployment of AI agents, collaborating with RevOps and cross-functional teams to improve reporting, workflows, and revenue growth.

Competenze

  • 0–3 years of experience in data analytics, BI, or related field.
  • Strong SQL and data modeling skills; experience with BI tools like Power BI or Snowflake.
  • Experience with AI tools including generative AI and AI-assisted analytics.
  • Knowledge of AI governance, risk, and compliance in an enterprise setting.

Mansioni

  • Identify and implement AI use cases to improve RevOps efficiency and reporting.
  • Lead AI agent deployment end-to-end including definition, testing, and adoption.
  • Prepare and structure data to support AI applications and semantic models.
  • Ensure data quality, governance, and consistency for trusted AI insights.
  • Support AI-enabled analytics tools for faster self-service insights.
  • Collaborate with RevOps and cross-functional teams to translate needs into AI solutions.
  • Identify opportunities to automate manual processes and scale analytics.
  • Contribute to AI roadmap and ongoing AI capability improvements.
  • Ensure AI initiatives comply with governance, risk, and security standards.

Conoscenze

SQL
Data modeling
Power BI
Snowflake
AI tools
Generative AI

Strumenti

Snowflake

Descrizione del lavoro

Bottomline in the United States is seeking an AI Data Analyst (Sales) – Revenue Operations to drive AI-enabled analytics for Paymode. You will bridge sales, data, and AI to deliver scalable insights and automation.

You will own data preparation, governance, and deployment of AI agents, collaborating with RevOps and cross-functional teams to improve reporting, workflows, and revenue growth.

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