Data Product Analyst (Signals)

Role Overview

Join the Signals team as a Data Product Analyst. You will take ownership of Signals data products, partner with AI and Data Engineering, and collaborate cross-functionally to improve product and revenue outcomes.

Key Missions

• Own Signals data products: prioritize and vet new data sources, and design their incorporation into pipelines and the data platform.
• Partner with AI & Data Engineering: build and maintain AI-tagging systems; design, maintain, and run QA processes to validate data.
• Own data quality: investigate and resolve complex data quality issues independently, serving as a trusted resource for internal and external stakeholders.
• Deepen client understanding: understand client use cases to guide how data is used to influence decision-making.

Profile / Requirements

• Proactively experiment with AI tools to improve analysis speed, depth, and efficiency.
• Clear written and verbal communication.
• Scrappy and resourceful: able to figure things out without waiting for direction.
• 4+ years experience working with SQL and Python/PySpark (or other programming languages) to explore and transform large datasets.
• Familiar with GitHub and Databricks.
• Comfortable with ambiguity and shifting priorities in a fast-paced environment.
• Strong attention to detail and an instinct for spotting data anomalies.
• Experience using sample or panel data to produce precise estimates that guide decisions.
• 4–6 years in data analytics, data operations, consulting, or a related field.

Nice-to-haves

• Strong intellectual curiosity about technology markets and business trends and how data supports decision-making.