RevOps AI Analyst Intern

Company
At Actian we believe data should be a competitive advantage. Through the deployment
of data technology, underpinned by a relentless and trusted service commitment, we
help business critical systems transact and integrate at their very best. As a trusted
leader in data management, integration, and analytics, our mission is to help businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides — in the cloud, on-premises, or hybrid environments.

With a global team of experts and a culture of innovation, we’re dedicated to helping
our customers solve their most complex data challenges.

Internship Overview
We are looking for interns to join us for our 2026 Summer Internship Program! This 12-
week program is set to begin June 8 th , so if you are looking for an incredible opportunity to partner with the best and brightest minds in the industry, apply today. This program has been designed with our interns in mind and includes structured learning plans, a dedicated buddy, and a focused capstone project that you will have the opportunity to present in our Internship Showcase!

What It’s Like Interning with Us!

▪ Intern Events— just because the internship is remote, doesn’t mean we don’t
have time for fun! Regular intern events will be hosted throughout your 12-

weeks with us!

▪ Time with Executives— Interns all get a chance to connect with our executive
team through panel discussions, 1:1s, Q&A meetings, and events
▪ Workshops — Interns participate in workshops geared towards helping new
professionals
▪ Opportunity to travel – we will fly you out for onsite orientation at our Austin,

Texas office location!

Position Overview

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 Technology: Actian AI Analyst

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.

The Capstone Project

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.

Responsibilities:

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

Product Ownership & User Discovery

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.

Data Architecture & Semantic Modeling

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.

Pilot Management & Performance Analytics

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.

Nice to Haves:

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

Educational Focus: Pursuing a degree (undergrad/masters) in Business Analytics, Data Science, Information Systems, or Business Administration.

Technical Skills:

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.

Soft Skills & Domain Knowledge:

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.

Requirements:

• Must be actively enrolled in a college degree program
• Must be legally authorized to work in the United States