
Data Product Analyst, Signals
YipitData · New York, NY
- Hybrid
- Full-time
- $170,000 / year
- New York, NY
Job highlights
- Analyze data and vet new data sources.
- Build and maintain AI tagging systems.
- Resolve complex data quality issues independently.
- Collaborate cross-functionally for product improvements.
- Shape product roadmap with client feedback.
About the role
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like 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 to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
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—recognized by Inc. as a Best Workplace for three consecutive years—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 take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You'll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and 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 the platform we're building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we're quickly scaling both the platform and the org.
Signals is a small and scrappy team operating inside a billion-dollar company, which means you get 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 can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.
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 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.
As a Data Product Analyst, you will:
- 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
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 proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving
- 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 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!
The annual on-target earnings for this position is anticipated to be up to $170K annually + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
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.
Key skills/competency:
- Data Product Analyst
- SQL
- Python
- Pyspark
- Data Analysis
- Data Quality
- AI Tagging Systems
- Product Roadmap
- Data Pipelines
- Client Analysis
Skills & topics
- Data Product Analyst
- Data Analysis
- SQL
- Python
- Pyspark
- Data Quality
- AI
- Product Management
- Data Engineering
- Private Equity
How to get hired
- Tailor your resume: Highlight 4-6 years of data analytics, SQL, Python, and Pyspark experience. Emphasize data quality and client analysis successes.
- Showcase problem-solving: Detail instances where you resolved complex data issues independently and drove projects to completion.
- Quantify impact: Use metrics to demonstrate the business outcomes of your data analysis and product contributions.
- Prepare for technical and behavioral questions: Be ready to discuss your experience with large datasets, AI tools, and working in fast-paced, ambiguous environments.
- Research YipitData's culture: Understand their focus on ownership, rapid growth, and velocity with purpose.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Product Analyst at YipitData Signals?
- As a Data Product Analyst for YipitData Signals, you will be a core owner of data products, vetting new data sources, designing their integration, and working with AI and Data Engineering teams on tagging systems. You'll also manage QA processes, resolve data quality issues, conduct client-facing analysis, and contribute to the product roadmap by translating feedback into actionable improvements.
- What technical skills are most important for this Data Product Analyst role at YipitData?
- Strong proficiency in SQL and programming languages like Python or Pyspark for transforming large datasets is crucial. Familiarity with GitHub and Databricks is also expected. Experience with AI tools and sample/panel data for precise estimations is highly valued.
- What kind of work environment can I expect at YipitData, specifically on the Signals team?
- The Signals team operates with startup speed within a billion-dollar company, offering a fast-paced, high-accountability environment. You can expect to wear many hats, see the direct impact of your work, and move from idea to execution rapidly, with opportunities for significant professional development and ownership.
- How does YipitData support professional growth for its employees?
- YipitData emphasizes rapid professional development through a breadth of responsibility, allowing employees to compress years of learning into months. Growth is determined by impact, not tenure, fostering an environment where employees can learn, self-improve, and master their skills with a focus on ownership and trust.
- What is the expected compensation for the Data Product Analyst position at YipitData?
- The annual on-target earnings for this Data Product Analyst position are anticipated to be up to $170,000, plus a bonus element. The final offer will depend on factors such as experience, knowledge, skills, and abilities.
- Can I work remotely for this Data Product Analyst job at YipitData?
- Yes, this role can be performed fully remotely within the United States. While our US headquarters are in NYC, we also have hubs in Austin, Miami, and Mountain View. If remote work is performed outside these locations, income may be subject to New York State tax withholding.