Data Product Analyst, Private Investor

YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to provide actionable insights across sectors such as 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 our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on for 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 award‑winning, people‑centric culture emphasizes transparency, ownership, and continuous mastery. 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 lead meaningful work, accelerate your growth, and gain exposure that shapes careers. Why top talent chooses YipitData: Ownership That Matters : Lead high‑impact projects with real business outcomes Rapid Growth : Compress years of learning into months Merit Over Titles : Earn trust and responsibility through execution, not tenure Velocity with Purpose : Move fast, support each other, and aim high—always with purpose and intent About the Signals Team Signals builds the platform that helps private investors assess how any private company is performing, leveraging proprietary spend datasets. Launched with coverage of 250k+ AI and software vendors, the team scales rapidly while maintaining a startup pace within a billion‑dollar company. 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 role places you on a small, high‑velocity team where you’ll own projects and operate with considerable autonomy. Responsibilities Own Signals data products; prioritize and vet new data sources and design their incorporation into pipelines and the platform Collaborate with 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, catching issues before they reach clients Investigate and resolve complex data quality issues independently, taking issues through to resolution 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 and deliver detailed analytical write‑ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement Collaborate cross‑functionally with Engineering, Product, and Go‑to‑Market to ship improvements fast—adding new data to the platform, improving accuracy, or reducing data lag times 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 build AI automation where possible Required Skills 4–6 years of experience in data analytics, data operations, consulting, or a related field 4+ years of experience working with SQL, Python, Pyspark, or similar programming languages; familiar with GitHub and Databricks Experience using sample or panel data to make precise estimates that guide decision‑making Proactive experimentation with AI tools to increase speed, depth, and efficiency of analysis Scrappy and resourceful; solves problems without waiting for direction Thrives in ambiguity and fast‑paced environments; adapts quickly to shifting priorities Excellent attention to detail and strong instinct for spotting data anomalies Clear, concise communication in writing and verbally Intellectually curious about technology markets, business trends, and data influence on decision‑making Owns problems and drives them to completion with minimal oversight Benefits Outsized role on a small, high‑growth team with immediate impact on revenue outcomes Opportunity to help build a product from early stages within a well‑funded, billion‑dollar company Exposure to top‑tier private equity firms and hedge funds as clients Rapid professional development through breadth of responsibility Team culture that values moving fast and building something great together Compensation The annual on‑target earnings for this position are anticipated to be up to $170 k annually plus a bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, and internal team benchmarks. Remote Work This role may be performed fully remotely within the United States. Our US headquarters are located in NYC, with office hubs in Austin, Miami, and Mountain View. Remote work performed outside these hubs may be subject to New York State tax withholding. 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 (Alternative)