Note: The job is a remote job and is open to candidates in USA. YipitData is the leading market research and analytics firm for the disruptive economy, focusing on delivering actionable insights through data analysis. As a Data Analyst II, you will own the Kepler data, ensuring its accuracy and improving methodologies while collaborating with various teams to deliver high-quality outputs.
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
- 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
- Led complex, ambiguous projects with multiple stakeholders — scoping the approach, driving alignment, and delivering outcomes — with a strong bias toward action and ownership
- Ability to 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
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
Company Overview