Data Analyst

YipitData

5d•$165,000 - $205,000•Remote

About The Position

YipitData is a leading market research and analytics firm specializing in the disruptive economy. We utilize proprietary technology to analyze vast amounts of alternative data, providing actionable insights across various sectors such as Consumer Goods, AI & Software, Cloud, and Payments. Our clients include top investment funds and Fortune 500 companies who rely on our data for critical decision-making. We have a global presence with offices in the US, APAC, and India. Our company culture is award-winning and people-centric, recognized as a Best Workplace by Inc. for three consecutive years, fostering transparency, ownership, and continuous learning. At YipitData, ownership is tangible, allowing analysts to manage data products end-to-end and present directly to investors. Growth is based on impact rather than tenure, with opportunities for increased scope and responsibility as performance dictates. AI is integrated as a core working tool, with active efforts to rebuild analytical processes using AI agents, automation, and new tooling.

Requirements

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
Expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
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

Responsibilities

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.