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Smith Hanley Associates is seeking a Senior Analyst in New York City to support investment decisions with consumer insights. You’ll blend traditional research with alternative data to understand brands, customer segments, and growth opportunities.
You’ll design surveys, analyze data, and present concise recommendations to senior stakeholders, leveraging Excel, PowerPoint, and related tools. This is a fast-paced, commercially focused role with exposure to AI-enabled analytics.
Location: New York City | 4 days in-office, Fridays flexible
Compensation: $110,000–$125,000 base + 15% target bonus
Market research meets consumer brands meets private equity.
This one is a little different.
We’re partnering with a highly respected investment firm focused exclusively on the consumer space. Their portfolio spans some seriously recognizable brands across retail, fitness, beauty, food & beverage, wellness, and lifestyle — and they have an internal Consumer Insights team that plays a meaningful role in figuring out which brands to invest in and how to help them grow once they do.
They’re looking for a Senior Analyst to join that team in NYC.
This is a great opportunity for someone early in their career who is analytical, curious, commercially minded, and ready to see their research actually influence major business decisions.
You’ll work across both new investment opportunities and existing portfolio brands, using a mix of traditional consumer research and alternative data to answer some pretty interesting questions:
You’ll get hands-on with survey design and analysis, brand health tracking, custom consumer research, alternative datasets, and presentations that turn a LOT of information into a clear story.
You’ll also have the opportunity to experiment with AI-powered research and analytics tools, build smarter workflows, and figure out where AI can make the work faster and better.
There isn’t one perfect background here.
Regardless of where you’re coming from, you probably have around 2–4 years of experience and are someone who can: