RevOps AI Analyst Intern

Actian Corporation·Remote(US-Remote)
Data & Analytics
Salesforce

WFA Digital Insight

The demand for AI-driven revenue operations specialists is on the rise, with a 25% increase in job postings over the past year. As companies like Actian Corporation invest in cutting-edge technologies, professionals with expertise in Salesforce and data analysis are in high demand. With the remote job market booming, candidates can now access exciting opportunities like this RevOps AI Analyst Intern role, which offers a unique chance to work at the intersection of revenue strategy and AI implementation. Before applying, candidates should be aware of the importance of staying up-to-date with industry trends and having a solid understanding of data-driven decision making.

Job Description

About the Role

The RevOps AI Analyst Intern role at Actian Corporation is a unique opportunity to work at the intersection of revenue strategy and AI implementation. As a key member of the Revenue Operations team, you will be responsible for delivering a RevOps AI Analyst Agent to the Sales and Product teams, democratizing data and empowering leadership to make faster, smarter decisions. The role entails working closely with cross-functional stakeholders to identify critical analytics pain points and high-value data gaps, and translating qualitative user feedback into technical requirements.

The Revenue Operations team at Actian is building a RevOps AI Analyst by leveraging the Actian AI Analyst platform, a cutting-edge Generative AI conversational interface powered by a robust Semantic Layer. This revolutionary product aims to enable self-service analytics and move organizations away from manual workflows and toward Self-Service Analytics without compromising on the reliability and accuracy of reports.

As a RevOps AI Analyst Intern, you will have the opportunity to work on a capstone project, designing, deploying, and evaluating the pilot, ensuring the AI model delivers accurate, hallucination-free insights by refining the Semantic Model and Data Architecture.

What You Will Do

  • Conduct discovery interviews with cross-functional stakeholders to identify critical analytics pain points and high-value data gaps
  • Translate qualitative user feedback into technical requirements
  • Work on the design, deployment, and evaluation of the RevOps AI Analyst Agent pilot
  • Refine the Semantic Model and Data Architecture to ensure accurate, hallucination-free insights
  • Collaborate with the Revenue Operations team to deliver the RevOps AI Analyst Agent to the Sales and Product teams
  • Participate in workshops geared towards helping new professionals
  • Engage with executives through panel discussions, 1:1s, Q&A meetings, and events
  • Contribute to the development of a scalable framework for Augmented Analytics

What We Are Looking For

  • Experience with Salesforce or similar CRM platforms
  • Strong analytical and problem-solving skills
  • Ability to communicate complex technical information to non-technical stakeholders
  • Familiarity with data analysis and visualization tools
  • Experience with AI or machine learning technologies
  • Strong collaboration and teamwork skills

Nice to Have

  • Experience with Natural Language Processing (NLP)
  • Familiarity with Semantic Layer technology
  • Knowledge of data architecture and data modeling

Benefits and Perks

  • Opportunity to work with a cutting-edge AI platform
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Flexible remote work arrangements
  • Access to workshops and training sessions
  • Chance to work with a global team of experts

How to Stand Out

  • Make sure to highlight your experience with Salesforce and data analysis in your application
  • Showcase your ability to communicate complex technical information to non-technical stakeholders
  • Be prepared to discuss your understanding of AI and machine learning technologies
  • Emphasize your strong collaboration and teamwork skills
  • Don't be afraid to ask questions about the company culture and team dynamics during the interview process
  • Be prepared to provide examples of your problem-solving skills and experience with data-driven decision making

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