Data Product Analyst, Private Investor

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're looking for someone with 4–6 years of experience who is eager to deepen their data analysis skill set, get 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 pipelines and platform; Work closely 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, proactively catching issues before they reach clients; Investigate and resolve complex data quality issues independently; Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with 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; 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

Requirements

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 other programming languages to explore and transform large, complex datasets, and familiar with GitHub and Databricks; Experience using sample or panel data to make precise estimates that guide decision-making; Proactively experiment with AI tools to increase speed, depth, and efficiency of analysis; Scrappy and resourceful; Thrive in ambiguity and fast-paced environments where priorities shift; Excellent attention to detail and natural instinct for spotting data anomalies; Communicate clearly and concisely in writing and verbally; Intellectually curious about technology markets, business trends, and how data is used to influence decision-making; Take ownership of problems and drive them to completion without constant oversight; Must not require visa sponsorship currently or in the future

Benefits

Flexible work hours; Flexible vacation; Generous 401K match; Parental leave; Team events; Wellness budget; Learning reimbursement; Exposure to top-tier PE firms and hedge funds as clients; Rapid professional development; A team culture that values moving fast and building something great together