Note: The job is a remote job and is open to candidates in USA. YipitData is a market research and analytics firm focused on the disruptive economy. The Data Analyst II will own the Kepler transaction data feed end-to-end by ensuring data accuracy, improving methodologies, implementing quality assurance frameworks, and prototyping enhancements. The role also involves solving complex data problems, using AI and automation, collaborating cross-functionally, and supporting customers with high-complexity questions about data anomalies and trends.
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
Skills
- You have 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
- You have expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
- You have 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
- 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
- Remote-friendly opportunity that can sit in NYC, one of our office hubs, or anywhere else in the US
- Fully remote work within the United States
- Growth and learning opportunities in an environment focused on ownership, respect, and trust
Company Overview