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Mergers & Acquisitions Analyst

Follett Software

United States

On-site

USD 100,000 - 120,000

Full time

5 days ago
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Job summary

Follett Software is seeking a Mid-Senior Data Analyst to unlock the value of their educational technology suite through data analysis. This role involves AI-driven data exploration, collaboration with cross-functional teams, and ensuring data readiness for AI applications, targeting a significant impact on educators' experiences.

Qualifications

  • 3–6 years of experience in Technical Project Management, Product Management, or Data Analytics.
  • Strong SQL and knowledge of Python.
  • Familiarity with enterprise SaaS systems is a plus.

Responsibilities

  • Analyze product usage and determine valuable information for AI interactions.
  • Collaborate with AI and Product teams to map natural language questions to data.
  • Audit and transform product data for AI readiness.

Skills

SQL
Data Analysis
Communication
Technical Project Management
NLP
Product Management

Education

Bachelor's Degree in a related field

Job description

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Company Overview

Everything we do is for educators. We’re partnering with them to advance a bold vision for education that boosts district performance and student success. At Follett Software, we empower educators across roles with technology that streamlines processes and manages information and resources to improve their schools, increase student success, and drive the future of education. We believe that by empowering educators to amplify their impact on students’ lives, we can change the world. Our goal and mission is to drive the future of education. We are inspired by educators to deliver transformative technology. Our innovative, connected solutions simplify challenges and offer a seamless and intuitive experience.

Company Overview

Everything we do is for educators. We’re partnering with them to advance a bold vision for education that boosts district performance and student success. At Follett Software, we empower educators across roles with technology that streamlines processes and manages information and resources to improve their schools, increase student success, and drive the future of education. We believe that by empowering educators to amplify their impact on students’ lives, we can change the world. Our goal and mission is to drive the future of education. We are inspired by educators to deliver transformative technology. Our innovative, connected solutions simplify challenges and offer a seamless and intuitive experience.

This position is responsible for unlocking the value of our Library, Resource and Technology/facilities suite of products through data analysis that directly supports DestinyAI — our intelligent, AI-powered assistant for educators, librarians, and administrators.

Responsibilities

  • AI-Driven Data Exploration: Analyze Destiny product usage and schema to determine what information is most valuable and relevant for AI-based interactions with users.
  • Inference Mapping: Collaborate with the AI and Product teams to identify the types of natural

language questions customers are likely to ask and map them to underlying data models and entities.

  • Data Readiness for AI: Audit, cleanse, and transform product data to ensure it is suitable for

structured querying, embedding, and LLM prompt integration.

  • Product & User Behavior Analysis: Explore how customers use Destiny Library Manager and

Resource Manager to derive behavioral patterns, trends, and feature gaps that can inform AI

development.

  • Query and Ontology Design Support: Assist in defining semantic relationships and join paths

between data entities for LLM prompt engineering and retrieval-augmented generation (RAG) systems.

  • Dashboarding & Communication: Build clear, intuitive dashboards and documentation for internal

teams that illustrate how product data supports real-world customer questions and scenarios.

  • Cross-Team Collaboration: Work with AI engineers, product managers, and customer success teams

to align insights with business needs and AI product strategy.

Qualifications

  • This role is ideal for someone with a technical background who is fluent in both the language of product development and data analytics. You will help identify and structure data that can power natural language interactions with DestinyAI, ensuring our AI assistant can reliably respond to customer questions with accurate, actionable, and context-aware insights.
  • 3–6 years of experience in Technical Project Management, Product management, Data Analytics, or related technical fields.
  • Strong SQL skills and working knowledge of data analysis languages such as Python.
  • Familiarity with product data structures in enterprise SaaS systems; knowledge of Destiny Library

Manager or Resource Manager is a strong plus.

  • Experience with product instrumentation, telemetry, and analytics platforms.
  • Exposure to AI/ML systems, especially those involving chatbots, LLMs, or NLP, is a plus.
  • Ability to translate unstructured business questions into structured data investigations and model
  • Strong written and verbal communication skills

EEO

Follett Software provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. We are committed to providing reasonable accommodations to, among others, individuals with disabilities and disabled veterans. If you are interested in applying for employment and need assistance or an accommodation in the application process due to a disability, please contact us by email and let us know the nature of your request and your contact information.

Email: recruiting@follettsoftware.com

CCPA Notice for California Residents: https://follettsoftware.com/wp-content/uploads/2024/10/Notice-to-California-Applicants.pdf

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance and Sales
  • Industries
    Education

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