Data Product Analyst, YipitData
Signals
$144.5-170k
OTE
+ Bonus
More information about location
Alternative data driven market & investment research firm
Be an early applicant
Alternative data driven market & investment research firm
501-1000 employees
Be an early applicant
$144.5-170k
OTE
+ Bonus
More information about location
501-1000 employees
Company mission
To usher in the new era of market research.
Role
Who you are
- 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 the job involves
- 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
- 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
- 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 take
Annual expenditure on data sets amongst US asset managers has grown to over $1 Billion since the turn of the decade, and is only increasing. Alternative data providers like YipitData are providing answers to such investors.
By focusing on disruptive, digital-first sectors, the company provides maximum value to their clients. This is because, in recent times, many of the highest-growth opportunities have been the hardest to price. By supporting this pricing, YipitData is a stand-out.
Thus, the company has emerged as a leading provider of highly accurate and detailed research and analytics in the rapidly evolving landscape of disruptive and digitally enabled sectors. With an impressive client base in the hundreds and significant funding behind it, YipitData is poised to expand innovation and venture into new markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2021
$475m
SERIES E
May 2019
$85m
LATE VC
Total funding: $577m
Company benefits
- Flexible work hours
- Flexible vacation
- Generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
Company HQ
Midtown South, New York, NY
Leadership
Vinicius Vacanti
(Founder & CEO)Prior to YipitData, they were an Associate at Quadrangle Group and an Analyst at The Blackstone Group.
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