Data Lead

YipitData is the market-leading data and analytics firm and raised up to $475M from The Carlyle Group at a valuation over $1B in its latest funding round. We analyze billions of data points every day to provide accurate, detailed insights across industries, including consumer brands, technology, software, and healthcare.

Our data team uses proprietary technology to identify, license, clean, and analyze the data that many of the world's largest investment funds and corporations depend on.

For three years and counting, we have been recognized as one of Inc's Best Workplaces. As a fast-growing company backed by The Carlyle Group and Norwest Venture Partners, YipitData is driven by a people-first culture rooted in mastery, ownership, and transparency.

With offices in New York, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, we continue to expand our reach and impact across global markets.

We're seeking a highly motivated, team-oriented Data Lead to drive data strategy and execution across a best-in-class portfolio of data products. In this role, you'll report to our Head of Data and split your time between owning challenging analytical work and guiding a team of data analysts to build and deliver top-tier data products.

This is a high-impact role for someone who thrives on ownership, collaboration, and delivering measurable value. Those with strong analytical skills who are excited to lead teams, build and optimize data workflows, and partner cross-functionally to shape and execute on product strategy are encouraged to apply.

• Own data strategy and execution for a portfolio of high-impact data products for investors, driving product success through a focus on accuracy, client value, and efficiency and partnering closely with research and commercial leaders to set and hit ambitious targets
• Operate as a player-coach, setting a high bar for quality, speed, and innovation while coaching, empowering, and inspiring your team to do their best work
• Work with massive amounts of data to help answer investor key questions about the sectors we cover and datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights
• Tackle complex data problems, using your analytical skills to optimize methodologies, test new datasets, and solve data-related problems that require innovative solutions
• Drive standardization, simplification, and improvements to our data pipelines and workflows to minimize risk and maximize efficiency and value
• Partner cross-functionally with other teams including Research and Engineering to uncover and execute on opportunities to further drive customer value and optimize our processes and pipelines

• You have 5+ years of experience in data analytics, forecasting, or business intelligence, including 1-2 years in a management or lead capacity
• You have 3+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Proficiency with Github and familiarity with Databricks
• You have strong communication skills and are able to work and project manage effectively with stakeholders across both technical and non-technical teams
• You excel at approaching complex problems logically and decisively, and take pride in implementing scalable solutions
• You have a strong ownership and entrepreneurial mentality and are enthusiastic about working with others to make a big impact
• Preferred : You've worked in or alongside capital markets, investment research, or financial services.

• Our compensation package includes a competitive salary and comprehensive benefit offerings. You'll work with a New York-based team
• Flexible work schedule
• Personal laptop
• Health and wellness package
• Remote work
• Your growth at YipitData is determined by the impact that you make, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.