Data Analyst II

YipitData

1d•$165,000 - $185,000•Remote

About The Position

YipitData is a leading market research and analytics firm focused on the disruptive economy, analyzing billions of alternative data points daily to provide insights across various sectors. Our data and research teams transform raw data into strategic intelligence for top investment funds and Fortune 500 companies. We operate globally with offices in the US, APAC, and India, fostering an award-winning, people-centric culture that emphasizes transparency, ownership, and continuous mastery. YipitData is a launchpad for ambitious professionals, offering meaningful work, accelerated growth, and career-shaping exposure from day one. Ownership is tangible, with analysts able to own data products end-to-end and present directly to investors. Growth is driven by impact, not tenure, with promotions based on demonstrated achievements. AI is a core working tool, actively used to rebuild analytical workflows with agents, automation, and new tooling. This role is for individuals with a strong work ethic, ambition, and a desire for a place where growth, impact, and ownership are the norm.

Requirements

4-6+ 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
Have led complex, ambiguous projects with multiple stakeholders — scoping the approach, driving alignment, and delivering outcomes — with a strong bias toward action and ownership
Can clearly communicate complex concepts — including methodology, risks, and tradeoffs — and influence cross-functional partners to move decisions forward
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 Kepler data content end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, and continuously increasing client value.
Work with massive amounts of data and 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 using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking — even when information is incomplete or ambiguous.
Use AI and tooling to drive meaningful leverage — increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
Use AI to drive client-value — you will write prompts and run automated evaluation processes to ensure our client-facing Kepler Insight Agent is accurate and able to answer the questions our customers are asking.
Collaborate cross-functionally with Research, Engineering, and other teams — coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
Help our customers understand the data by handling high-complexity questions about anomalies and trends in the data that our first line of support can’t handle.