Senior Data Analyst, Data Feeds

YipitData is a market research and analytics firm that transforms proprietary alternative data into commercial data products for investors and companies. The Senior Data Analyst will own data products end-to-end, improve data quality and analytical workflows, evaluate datasets and methodologies, and translate customer feedback into product improvements. The role partners cross-functionally with Product, Data Science, Engineering, Quant Research, and Client Strategy while using AI to develop and enhance data products.

Responsibilities:

• Own products end-to-end, from methodology development and product QA to feature design and ongoing product evolution. Develop deep expertise in how your product works and the investment workflows it supports
• Investigate complex data quality issues spanning upstream datasets, product methodologies, and downstream customer outputs. Build scalable monitoring, validation, and QA frameworks that improve quality while reducing manual effort
• Work with Product Managers, Data Science, and Central Data. Identify opportunities for new methodologies, additional datasets, forecasting capabilities, AI-powered features, and entirely new product offerings
• Analyze new internal and third-party datasets to determine whether they improve product accuracy, coverage, or customer value. Design experiments, quantify tradeoffs, and help determine what belongs in production
• Partner with Product Managers, Client Strategy and directly with sophisticated investors to understand how products are being used. Translate customer questions, trial feedback, and support escalations into durable product improvements
• Leverage AI agents, automation, and evaluation frameworks to improve QA, documentation, methodology development, and customer-facing analytical experiences
• Look beyond maintaining today's products. Identify opportunities to create new analytical capabilities, improve client workflows, and expand the ways customers interact with our data

Requirements:

• You have 4+ years of experience in data analytics, with a background in financial services, consulting, data science, product analytics, or another environment where complex data informs high-stakes decisions
• You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows
• You enjoy building products—not just analyzing data—and naturally think about how information should be packaged, delivered, and experienced by customers
• You quickly develop strong mental models for complex datasets and enjoy reasoning through ambiguity to identify root causes and improve methodologies
• You have led complex cross-functional projects involving Product, Engineering, or analytical stakeholders and are comfortable driving work from idea to execution
• You know how to balance rigor with pragmatism, making thoughtful tradeoffs between speed, quality, and long-term product value
• You're skilled at working with messy, evolving datasets and enjoy creating structure, repeatability, and confidence in complex systems
• You communicate technical concepts clearly and can explain methodologies, assumptions, and tradeoffs to both technical teammates and business stakeholders
• You actively use AI tools and are excited about fundamentally changing how analytical products are built—not just making existing workflows more efficient
• 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