About Us:
YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world’s top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work Here
- Ownership is real, not aspirational. An analyst here can own a data product end-to-end, from methodology to client delivery, and present directly to the investors who depend on it. You won’t spend months waiting for “meaningful work.”
- Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you’re ready. We promote based on what you’ve done, not how long you’ve been here.
- AI is a core working tool, not a side project. We’re actively rebuilding how analytical work gets done, using AI agents, automation, and new tooling to fundamentally change what’s possible. If you’re excited about that, you’ll thrive here.
About the Role:
You’ll join our Consumer Goods sector team, the largest sector team at YipitData, covering major retailers and brands like Walmart, Target, Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team delivers data products and research that help the world’s top investors understand consumer spending trends, market share shifts, and competitive dynamics across retail and branded goods.
This role is different from a typical Data Analyst seat. While you’ll ramp onto existing products to build familiarity with our data, methodologies, and processes, the core expectation is not maintaining the current portfolio — it’s pushing the boundaries of what we can offer. Working closely with the Sector Head and Research Lead , you’ll focus on:
- Identifying and building new product types and research opportunities — finding novel ways to leverage our data to answer the questions clients care about most, whether that means developing entirely new methodologies, exploring new third-party datasets, or creating new analytical frameworks
- Expanding into new use cases and client segments — for example, extending our consumer goods data to serve Macro investors or other end markets that we haven’t traditionally addressed
- Driving strategic impact — partnering with Research to shape the sector’s roadmap with an evidence-based point of view, surfacing opportunities proactively, and ensuring our most innovative work translates into client value
- Raising the bar through example — while formal mentoring sits with the data lead, you’ll be one of the most senior ICs on the team and will naturally elevate the work of mid-level and high-potential junior analysts through the standard you set, the rigor of your technical review, and your willingness to collaborate
This is a role for someone who gets energy from building new things in ambiguous spaces — not someone looking to settle into a well-defined product portfolio. You’ll be client-adjacent (informing what goes to investors rather than presenting directly, though there will be opportunities to be client-facing where it adds value) and deeply embedded in the strategic direction of one of our highest-impact sectors.
As a Data Analyst, you will:
- Own high-impact data products end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You’ll ramp quickly into full ownership of your products and workflows, operating with minimal oversight.
- Work with massive amounts of data to answer our clients’ key questions about the companies and datasets we analyze. You’ll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
- Tackle complex data problems independently, using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require innovative thinking — even when information is incomplete or ambiguous.
- Use AI and tooling to drive meaningful leverage — significantly increasing speed, reducing manual work, and beginning to automate portions of workflows. You’ll standardize best practices and build repeatable processes, always maintaining a high bar for correctness and quality while validating AI-generated outputs.
- Collaborate cross-functionally with Research, Engineering, and other teams — coordinating across functions to unblock work, align on best practices, and develop technical solutions that streamline workflows, optimize data processes, and push the boundaries of automation.
- Drive Product and Strategic Impact – Identify opportunities to improve products, develop new methodologies, explore new datasets, and enhance client value. Connect your technical work to business outcomes and contribute to the strategic direction of your sector.
You Are Likely To Succeed If:
- You have 6+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology — or another environment where you worked with complex data to drive high-stakes decisions
- You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
- You have a proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works
- You have led complex, ambiguous projects with multiple stakeholders — scoping the approach, driving alignment, and delivering outcomes — with a strong bias toward action and ownership
- You can clearly communicate complex concepts — including methodology, risks, and tradeoffs — and influence cross-functional partners to move decisions forward
- You actively use AI tools and are excited about using AI to drive leverage — not just productivity, but fundamentally better and faster ways of working
What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual base compensation for this position is anticipated to be $165K-$205K. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks.
- The total compensation package includes a mix of base, bonus, equity, and benefits
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Los Angeles (CA), and Cupertino (CA). If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
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