Actian23d ago

USD 20–30/yr

RevOps AI Analyst Intern

United StatesRemoteInternmid

Data ScienceOtherAi Analyst

0 views0 saves0 applied

Apply Now

Quick Summary

Requirements Summary

Translate qualitative user feedback into technical requirements for the AI Analyst, ensuring the conversational interface addresses real-world business logic.

Technical Tools

Data ScienceOtherAi Analyst

In today’s fast-paced environment, business stakeholders in Sales, Marketing, and
Product often face decision-making delays due to a reliance on manual data requests
and complex reporting. The Revenue Operations team at Actian is building a RevOps AI
Analyst by leveraging the Actian AI Analyst platform—a cutting-edge Generative AI
(GenAI) conversational interface powered by a robust Semantic Layer—to enable self-
service analytics and empower leadership to make faster, smarter decisions.

The Actian AI Analyst is designed to bridge the gap between raw data and actionable insights. By utilizing Natural Language Processing (NLP), it allows non-technical users to ask complex questions—such as inquiries regarding deal progression, account distribution, and revenue attainment—and receive instant, data-driven answers without ever having to write a line of SQL. With its state-of-the art Semantic Layer, this revolutionary product aims to move organizations away from "Steward-heavy" manual workflows and toward Self-Service Analytics without compromising on the reliability and accuracy of their reports, thus providing true Business intelligence.

As the RevOps AI Analyst Intern, you will work on the RevOps team to deliver a RevOps AI Analyst Agent to our Sales and Product team. With the central aim to democratize data, your mission will be to support the design, deployment, and evaluation of the pilot, ensuring the AI model delivers accurate, hallucination-free insights by refining the Semantic Model and Data Architecture.

This project is not just about testing a tool; it is about building a scalable framework for Augmented Analytics that will empower leadership to make faster, smarter decisions.

This is a unique opportunity to work at the intersection of Revenue Strategy and AI Implementation with high visibility across the organization.

Stakeholder Engagement: Act as a junior Product Owner by conducting discovery interviews with cross-functional stakeholders (Sales, Marketing, and Product) to identify critical analytics "pain points" and high-value data gaps.

Requirements Synthesis: Translate qualitative user feedback into technical requirements for the AI Analyst, ensuring the conversational interface addresses real-world business logic.

Strategic Roadmap: Develop a forward-looking strategic roadmap for future AI iterations based on pilot insights, highlighting opportunities for scalability across the organization.

Semantic Layer Definition: Support the documentation of the Semantic Layer by building a standardized Metrics Definitions Glossary, ensuring the AI provides "one version of the truth."

Prompt Engineering: Design and curate a Prompt Library to optimize the AI’s Natural Language Processing (NLP) capabilities and improve the precision of generated insights.

Data Integrity & Validation: Utilize SQL and Salesforce (SFDC) reporting to audit AI-generated outputs, performing root-cause analysis on query failures to ensure data accuracy.

Operational Execution: Manage the daily lifecycle of the Pilot program, serving as the primary lead for the "Steward Inbox" to monitor query failures and user friction points.

Success Benchmarking: Track and analyze Adoption Metrics—including Active Users, Question Success Rates, and Time-to-Insight—to quantify the pilot’s ROI and business impact.

Capstone Presentation: Synthesize complex data findings into a compelling narrative for the Internship Showcase, presenting your final recommendations to the Executive leadership team.

We are looking for candidates who are passionate about the intersection of AI and business impact.

AI & Knowledge Management: Experience using Generative AI (GenAI) tools and research assistants (e.g., NotebookLM, ChatGPT, or Claude) to synthesize complex documentation, extract insights from unstructured data, and build grounded knowledge bases.

SQL Fundamentals: Proficiency in writing queries to validate data and audit AI outputs.

Data Modeling: Understanding of relational databases, schema design, and Semantic Layer definitions.

BI & Analytics: Familiarity with Business Intelligence tools (e.g., Tableau, Power BI, or Looker) and data visualization principles.

Stakeholder Management: Ability to translate technical concepts for non-technical business users.

RevOps Familiarity: Experience with Salesforce (SFDC) architecture or revenue lifecycle concepts is preferred although not required

Problem-Solving: A product-owner mindset with the ability to synthesize user feedback into actionable technical insights.

Must be actively enrolled in a college degree program

Must be legally authorized to work in the United States

Location & Eligibility

Where is the job

United States

Remote within one country

Who can apply

Listed under

United States

Listing Details

Posted: April 3, 2026
First seen: April 3, 2026
Last seen: April 27, 2026

Posting Health

Days active: 23
Repost count: 0
Trust Level: 51%
Scored at: April 27, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

Apply for this position

Actian

lever

The Actian Data Platform provides a unified experience for ingesting, transforming, analyzing, and storing data. Flexible deployment options include cloud, on-premises, or in hybrid and multi-cloud environments.

Employees

350

Founded

1980

Domain

actian.com

Jobs

View 37 jobs

View company profile

Salary

USD 20–30

per year