MI&A - Market Insights Intelligence Analyst - C_MAT

Position Summary

The Market Insights Intelligence Lead sits at the center of a small, fast-moving team inside Deloitte. This team experiments, ships, learns, and moves again—building intelligence tools and products that feed the firm's most senior growth leaders with real-time market signals. If that sounds more like a startup than a Big Four consulting firm, that's because this corner of it is. The profile is genuinely plural: part data scientist, part technologist, part analyst, part strategist, part creative. You've probably been told before that you're hard to categorize. We'd consider that a strong signal.

Work You'll Do

• Join a team that conducts deep-dive research and insight development for high-stakes, senior executives at the firm
• Use vibe coding, AI-assisted development, and rapid prototyping to build lightweight tools that automate, accelerate, or entirely replace manual research workflows
• Design and run structured experiments to test market hypotheses: frame the question, build the minimal test, assess the evidence, form a view, and execute
• Develop and maintain the team's data infrastructure: sourcing, structuring, and connecting market intelligence from licensed providers and open sources into usable, repeatable pipelines
• Serve as the translation layer between business problems and technical systems—helping non-technical leaders understand what's possible and helping engineers understand what actually matters
• Drive creative exploration on the team—bring a fresh eye to how we approach problems, what tools and methods we haven't tried yet, and where the most interesting whitespace is
• Proactively identify where you can add value and step in—this role has a defined scope and an expectation that you'll regularly exceed it

The Successful Candidate Will Possess

• An experimentalist and builder's mindset: leads with curiosity, moves fast, tests hypotheses, and iterates without waiting for permission
• Vibe coding proficiency: ability to rapidly prototype tools, automate workflows, and build lightweight data products using AI-assisted coding techniques
• Engineering or technical background (preferred, not required to code in production): fluency with technical systems, data pipelines, APIs, and platform architecture at the conceptual level
• Analytical depth: ability to go deep on a research question, pressure-test assumptions, and produce a well-reasoned, independently defensible point of view
• High fluency with AI tools—used as genuine accelerators, not crutches; knows when to use them and when the answer requires human judgment
• Comfort with ambiguity and undefined scope: strong instinct for where to add value; proactively steps into work, even outside formally assigned responsibilities
• Intellectual rigor and commitment to credibility: cares deeply about truthfulness, sourcing, and the difference between a justified conclusion and an interesting conjecture
• Genuine creative eye: brings an original perspective to how insights are designed, surfaced, and experienced—whether through data visualization, product design, or editorial format
• Willingness to get hands-on regardless of title—executes at all levels of the stack without hesitation

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Economics, Finance, Applied Mathematics, Data Science, or a related quantitative discipline
• 4-6 years of experience in a technically rigorous analytical role—e.g., private equity research, technology strategy, competitive intelligence, data science, or quantitative consulting
• Demonstrated vibe coding or lightweight prototyping skills: ability to build working tools or automate workflows using AI-assisted techniques
• Ability to travel up to 5-10%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future