Commercial Strategy & AI Analyst

Role Overview

Join our Commercial Strategy team as an AI-forward analyst, applying cutting‑edge AI tools and data analysis to help shape and execute Unisys's sales strategy. In this early‑career role (ideal for candidates with internships or 0‑2 years experience), you will mix business insight, analytics, and automation to support sales leadership and accelerate growth. This is a high‑visibility opportunity to work closely with commercial executives, leverage generative AI (e.g., Microsoft 365 Copilot or Claude) in your workflows, and build a strong foundation for a career in strategy or revenue leadership.

• AI-First Analysis & Automation: Leverage generative AI tools (e.g., Copilot, LLMs) to accelerate your work—from drafting executive summaries and refining PowerPoint content to automating complex workflows.
• Continuous Improvement: Continuously explore new AI‑enabled methods to reduce manual effort and improve the quality, clarity, and speed of strategy deliverables. Prototype small automation scripts or AI workflows that enhance team efficiency.
• Ad Hoc Problem Solving: Tackle ad hoc requests from commercial leadership (e.g., analyzing a sudden market change or evaluating a new sales initiative) using an AI‑first approach to deliver rapid, insightful solutions.

• Pipeline & Performance Analysis: Synthesize complex sales, pipeline, and revenue data into concise executive narratives for Board meetings and quarterly business reviews. Highlight trends, risks, and opportunities to keep leadership informed.
• Forecast Support: Provide data‑driven insights and briefing materials for pipeline and forecast calls. Anticipate questions and translate ambiguous data into clear, focused insights and recommendations.
• Tools & Reporting: Utilize CRM and BI platforms (e.g., Salesforce, Power BI), including their AI‑assisted features, to monitor pipeline health, analyze performance against targets, and deliver real‑time insights to sales leaders.

• Leadership Enablement: Engage with Sales, Marketing, Finance, and Enablement teams on go‑to‑market initiatives, capturing key themes and action items to refine sales strategies.
• Rhythm of Business: Assist in planning and coordinating leadership meetings, all‑hands calls, and strategy workshops—ensuring agendas are focused and outcomes are documented.

• Bachelor's Degree in a business, analytics, or technology field (e.g., Business Administration, Business Analytics, Data Science, Computer/Information Systems, or related) that fostered strong data‑driven and AI‑friendly skills.
• Applied Analytical Experience
  —demonstrated experience applying analytics or AI tools through internships, academic projects, or up to ~2 years of work to solve business problems or improve processes.
• Data‑to‑Insight Skills
  —proven ability to interpret and synthesize data into actionable insights, linking analytical findings to revenue or growth outcomes.
• AI Tool Proficiency
  —hands‑on experience with AI productivity tools (e.g., Microsoft 365 Copilot or Claude) for analysis, content generation, or workflow automation.
• Technical Proficiency
  —strong skills in Excel and PowerPoint; familiarity with data visualization tools (e.g., Power BI) and willingness to adopt new AI‑enabled tools to enhance analysis and content creation.
• Communication
  —excellent written and verbal communication skills, with a knack for crafting clear, engaging narratives from complex information.

• Industry Exposure
  —experience in enterprise technology, IT services, or B2B sales environments through coursework, projects, or work experience.
• Executive Support Experience
  —supporting senior leaders or executives in a fast‑paced setting, adapting to changing priorities.
• Sales Domain Familiarity
  —understanding of sales metrics, pipeline management practices, forecasting, and go‑to‑market concepts.
• Cross‑Functional Collaboration
  —comfort working in a matrixed organization and influencing cross‑functional teams without direct authority.

• Commercial leaders rely on your…