Data Product Analyst

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy, recently raising $475M from The Carlyle Group at a valuation exceeding $1B. Our proprietary technology analyzes billions of alternative data points daily to provide actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. We transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis to top investment funds and Fortune 500 companies to drive high-stakes decisions. Our global operations span the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Recognized by Inc. as a Best Workplace for three consecutive years, our culture emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData is a launchpad for ambitious, impact-driven professionals. From day one, you'll lead meaningful work, accelerate your growth, and gain career-shaping exposure.

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: Trust and responsibility are earned through execution, not tenure.
• Velocity with Purpose: Move fast, support each other, aim high—always with purpose and intention.

If your ambition is matched by your work ethic and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you've been waiting for.

YipitData Signals:

YipitData Signals is our platform for private investors to assess private company performance, utilizing proprietary spend datasets and rapidly expanding our data coverage. Launched late last year with data on over 250k AI and Software vendors, we are quickly scaling both the platform and the team. Signals is a small, scrappy team within a billion-dollar company, offering the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you see the direct impact of your work, move from idea to execution in days, and want to help shape a product from the ground floor, this is the place for you.

About the Role:

We are seeking a Data Product Analyst for the Signals team to help achieve our ambitious 2026 goals. This is a highly impactful role where you will operate across various functions: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors for accuracy improvements. You will be expected to ramp up quickly, take immediate ownership, and operate with a high degree of autonomy. We are looking for someone with 4–6 years of experience eager to deepen their data analysis skills, gain 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 – helping prioritize and vet new data sources and designing 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, owning 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 teams to ship improvements rapidly—adding new data, 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.

You Are Likely To Succeed If:

• 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.

What You'll Get:

• An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes.
• 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.

Our compensation package includes comprehensive benefits, perks, and a competitive salary. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, a wellness budget, learning reimbursement, and more. Your growth at YipitData is determined by the impact 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.

Key skills/competency:

• Data Product Analyst
• Data Analytics
• SQL
• Python
• Data Quality
• Data Pipelines
• Problem Solving
• Stakeholder Management
• Product Roadmap
• AI Automation