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
Requirements
- 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 to explore and transform large, complex datasets, and you’re familiar with GitHub and Databricks
- experience using sample or panel data to make precise estimates that guide decision-making
- proactively experiment with AI tools to increase speed, depth, and efficiency of analysis, and to unlock new approaches to problem-solving
- scrappy and resourceful—you figure things out without waiting to be told what to do
- thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
- excellent attention to detail and a natural instinct for spotting data anomalies
- communicate clearly and concisely—both in writing and verbally
- intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
- take ownership of problems and drive them to completion without constant oversight—on a small team, self-direction is essential
Benefits
- flexible work hours
- flexible vacation
- generous 401K match
- parental leave
- team events
- wellness budget
- learning reimbursement
- rapid professional development through breadth of responsibility
- a team culture that values moving fast and building something great together
Work Arrangement
Hybrid
Team
Team size: small. Structure: small and scrappy team operating inside a billion-dollar company
Additional Information
- 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.
