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. As a Data Analyst, you'll own data products that help top investors understand company performance and market trends, while collaborating with cross-functional teams to deliver insights and improve methodologies.
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
- 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
- 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
Skills
- 3-5+ 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 inform real decisions
- Strong fluency in SQL, with experience using Python or PySpark as a plus — particularly for building reusable analysis workflows or automations
- A track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
- Tackled complex analytical problems and taken ownership beyond your immediate scope — you don't wait to be told what matters, you figure it out and drive it forward
- Ability to communicate complex concepts clearly — including methodology, risks, and tradeoffs — both in writing and in conversation with technical and non-technical stakeholders
- 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