Data Product Analyst, Signals

YipitData

16h • Remote

About The Position

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.

Requirements

• You have 4–6 years of experience in data analytics, data operations, consulting, or a related field
• You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you’re familiar with GitHub and Databricks
• You have experience using sample or panel data to make precise estimates that guide decision-making
• You are scrappy and resourceful—you figure things out without waiting to be told what to do
• You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
• You have excellent attention to detail and a natural instinct for spotting data anomalies
• You communicate clearly and concisely—both in writing and verbally
• You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
• You take ownership of problems and drive them to completion without constant oversight—on a small team, self-direction is essential

Responsibilities

• Become a core owner of Signals data products – you will 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, there's no one to hand things off to; you own the problem 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—whether that's 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

Benefits

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, 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. See more on our high-impact, high-opportunity work environment above!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees