Data Product Analyst

Role Description

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
• 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.

As a Data Product Analyst, you will:

• 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
• 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
• 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

Qualifications

• 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
• Experience using sample or panel data to make precise estimates that guide decision-making
• Excellent attention to detail and a natural instinct for spotting data anomalies
• Clear and concise communication skills—both in writing and verbally
• Intellectually curious about technology markets and business trends
• Ability to take ownership of problems and drive them to completion without constant oversight

Requirements

• Scrappy and resourceful—able to figure things out without waiting to be told what to do
• Thrive in ambiguity and fast-paced environments where priorities shift

Benefits

• An outsized role on a small, high-growth team where your contributions are immediately visible
• The chance 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
• Flexible work hours and vacation
• Generous 401K match
• Parental leave
• Team events
• Wellness budget and learning reimbursement
• Annual on-target earnings anticipated to be up to $170K annually + bonus element