Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- A high-impact, high-opportunity work environment focused on ownership, respect, and trust
- Fully remotely within the United States
- Bonus
- Equity
Company Overview