Data Product Analyst, Private Investor

Overview About Us: YipitData is the leading market research and analytics firm for the disruptive economy and the organization has raised significant funding to support growth. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that clients depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our culture emphasizes transparency, ownership, and continuous mastery and has been recognized by Inc. as a Best Workplace for three consecutive years. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting — it’s a launchpad for ambitious, impact-driven professionals. From day one, you\'ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. About the Role We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you\'ll be a cog in a machine. On a small team building a product at a rapid pace, you\'ll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You\'ll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We are seeking someone with 4–6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment. Responsibilities Become a core owner of Signals data products – help prioritize and vet new data sources and design their incorporation into our pipelines and platform Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients Investigate and resolve complex data quality issues independently on a small team with end-to-end ownership Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations Conduct analytical write-ups on specific vendors, sectors, or trends to showcase the power of Signals data and drive client engagement Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and explore AI automation where possible Qualifications You have 4–6 years of experience in data analytics, data operations, consulting, or a related field You have 4+ years of experience with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets; familiar with GitHub and Databricks You have experience using sample or panel data to make precise estimates that guide decision-making You proactively experiment with AI tools to increase speed, depth, and efficiency of analysis You are scrappy and resourceful and can figure things out without waiting to be told what to do You thrive in ambiguity and fast-paced environments where priorities shift You have excellent attention to detail and a natural instinct for spotting data anomalies You communicate clearly and concisely, in writing and verbally You are intellectually curious about technology markets and how data influences decision-making You take ownership of problems and drive them to completion without constant oversight What You’ll Get An outsized role on a small, high-growth team where your contributions are immediately visible and tied to revenue outcomes The opportunity to help build a product from its early stages inside a well-funded, billion-dollar company Exposure to top-tier PE firms and hedge funds as clients Rapid professional development through breadth of responsibility A team culture that values moving fast and building something great together Compensation and Benefits Comprehensive benefits, perks, and a competitive salary; flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more Your growth at YipitData is driven by impact, not tenure or face time; everyone is empowered to learn and master their skills in a culture of ownership, respect, and trust The annual on-target earnings for this position is anticipated to be up to $170K plus bonus; final offer based on experience, skills, and internal benchmarks Location, Remote Work, and Visa This role may be performed fully remotely within the United States. Our US headquarters are located in NYC with hubs in Austin, Miami, and Mountain View. If remote work is performed outside of these offices, income may be subject to New York State tax withholding. We are not able to consider candidates who currently or in the future will require visa sponsorship. EEO Statement 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. #J-18808-Ljbffr YipitData