MI&A - Market Insights Intelligence Analyst - C_MAT
Deloitte
- Location
- Multiple Locations
- Level
- Mid
- Salary
- $105.4k – $207.8k/yr
- H-1B history
- 2 approvals (FY2023)
Skills
About this role
The Team
The Market Insights & Activation (MI&A) team sits within Deloitte’s Growth & Purpose organization—the function responsible for shaping how the firm grows, competes, and wins in market. Our mission is to proactively capture real-time market shifts, shape firm go-to-market strategy, and fuel Deloitte’s growth ambition. We are laser-focused on helping Deloitte grow faster than the market and “Win the New”—partnering with the business to deliver coordinated, results-oriented, and insights-informed growth strategies that reach the firm’s most senior leaders. Recruiting for this role ends on 08/14/2026.
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. What we're looking for is someone who, when handed a hypothesis or a half-formed "what if," gets visibly excited — chews on it, pulls the thread, and comes back with something that makes the room lean forward. 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. An engineering background is an asset — less for the syntax and more for the mental model it builds. Vibe coding is a must. 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 Broad technical fluency across data tooling (e.g., Python, SQL, or equivalent), visualization platforms,