Note: The job is a remote job and is open to candidates in USA. YipitData is a market research and analytics firm that uses proprietary technology to analyze alternative data and deliver strategic intelligence to investment funds and Fortune 500 companies. The Central Data Lead will own a foundational data domain end-to-end, developing scalable methodologies, data quality systems, and processing solutions while setting analytical direction and partnering with product, engineering, evaluation, and external data teams. The role also involves using AI to improve data operations and mentoring junior analysts as the organization grows.
Responsibilities
- **Own the lifecycle of your data domain** — from defining how raw partner data should be processed, validated, tagged, and modeled to ensuring downstream teams can confidently build products on top of it. Develop deep expertise in your domain and the mental models needed to identify issues before they impact customers
- **Build systems that improve data quality** — Design validation frameworks, monitoring, and QA systems that proactively detect issues. Reason deeply about representativeness, bias, and systematic risks—not simply whether individual records look correct
- **Design reusable methodologies that scale** — Identify common business concepts and analytical patterns across Investor, Corporate, and Data Feeds. Build centralized methodologies that reduce duplication, improve consistency, and create lasting leverage across the organization
- **Set analytical and technical direction** — Partner with the Technical Product Manager to prioritize investments based on cross-business impact, and with the Data Engineering Manager to shape processing architecture and platform capabilities. Make thoughtful tradeoffs between speed, rigor, automation, and long-term scalability
- **Expand and evolve your domain** — Partner with the Data Evaluation team to onboard new datasets and work directly with technical and business stakeholders at our data providers when needed. Build reusable integration patterns that make future dataset onboarding faster and more reliable
- **Redesign analytical work with AI** — Use AI, automation, and emerging tooling to fundamentally improve how data is processed, validated, documented, and maintained. Continuously identify opportunities to eliminate manual work and increase the scale and quality of what the team can accomplish
- **Help build the organization** — As the team grows, mentor junior analysts and establish the standards, processes, and culture that define how your domain operates
Skills
- 6-8+ 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
- Calibrate rigor to the stakes — you know how much precision a given decision or problem merits, and you don't over- or under-invest
- Reason about bias and representativeness, not just averages — you ask whether dropped rows, inconsistent formatting, or gaps in coverage are systematically skewed before drawing conclusions
- Skilled at working with messy, inconsistent datasets and evolving schemas — and you bring the detail-orientation and discipline to make that work reliable
- Can clearly communicate complex concepts — including methodology, risks, and tradeoffs — and influence cross-functional partners to move decisions forward
- Energized by the prospect of building — owning a domain end-to-end today, and mentoring and leading junior analysts as the team grows around 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
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
- Annual performance-based bonus of up to 10%
- Fully remote work within the United States
Company Overview