Senior Data Analyst, Investor

YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance, market trends, and competitive dynamics. The Senior Data Analyst, Investor will own analytical data products, develop methodologies, ensure data accuracy, derive insights, and use AI and automation to improve workflows and client value.

Responsibilities:

• Own 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 into full ownership of your products and workflows with increasing autonomy as you build expertise
• 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 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
• Partner with Research, Engineering, Product, and other teams to solve problems, improve workflows, and deliver high-quality products
• Identify opportunities to improve products and processes — whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients
• Develop a new methodology that significantly improves the accuracy of an existing investment product
• Build an entirely new research product covering an adjacent market or investment theme
• Evaluate a new alternative dataset and determine how it can strengthen existing estimates or unlock new analytical capabilities
• Create an AI-powered analytical workflow that dramatically reduces the time required to develop recurring research
• Design a new dashboard or AI experience that changes how clients explore sector data

Requirements:

• You have 4+ years of experience in data analytics, ideally in financial services, consulting, data science, product analytics, high-growth technology, or another environment where rigorous analysis informs important decisions. We value demonstrated capability and trajectory alongside years of experience
• You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows and automations
• You enjoy turning complex datasets into scalable products and methodologies that customers rely on
• You quickly develop strong mental models of unfamiliar businesses, industries, and datasets, then use them to improve methodologies and uncover opportunities
• You thrive in ambiguous environments, proactively identifying what matters and taking ownership of problems beyond your immediate scope
• You communicate complex concepts clearly—including methodologies, assumptions, risks, and tradeoffs—to technical and non-technical audiences
• You are curious about industries, competitive dynamics, and the factors that drive company performance
• You actively use AI tools and are excited about finding fundamentally better ways to build analytical products
• This role may be performed fully remotely within the United States
• Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship