Data Product Analyst, Private Investor

Overview

Join the Signals team as a Data Product Analyst supporting data products for private investors. You will work across data sourcing, quality, analysis, client use cases, and product improvements.

What you'll do

• Prioritize and vet data sources and incorporate them into data pipelines and the platform.
• Build and maintain AI-tagging systems with AI and Data Engineering teams.
• Design and run quality assurance processes across vendor data.
• Investigate and resolve complex data quality issues.
• Deliver analytical write-ups on vendors, sectors, and trends.
• Translate customer feedback and data insights into product improvements.
• Build AI automation to improve workflow efficiency and data quality.

What you'll need

• 4–6 years of experience in data analytics, data operations, consulting, or a related field.
• 4+ years working with SQL, Python, PySpark, or other programming languages on large datasets.
• Familiarity with GitHub and Databricks.
• Experience using sample or panel data to make precise estimates.
• Strong attention to detail and ability to identify data anomalies.
• Clear written and verbal communication skills.
• Ability to work independently in ambiguous, fast-paced environments.

Details

• Fully remote within the United States.
• Target earnings are up to $170,000.