Description

Own analysis projects end-to-end, from identifying opportunities to presenting findings to stakeholders across Product, Engineering, and Data Leadership.

Responsibilities

• Lead analyses that modernize and scale contact data pipeline components, including title classification, address normalization, profiling, and matching.
• Identify and deliver strategic opportunities that expand contact data capabilities and develop new products or features using domain expertise.
• Implement AI-driven monitoring systems to detect and resolve critical data quality issues, reducing manual intervention.
• Establish automated testing frameworks to integrate new datasets and attributes, accelerating database improvements.
• Mentor junior team members and serve as the contact data pipeline subject matter expert for cross-functional partners.

Required Skills

• 5+ years of experience in data analytics or equivalent combination.
• Proficiency in programming languages for data analysis: Python, R, SQL, Stata, SAS.
• 2+ years experience in a senior analytical role with proven leadership and mentorship capabilities.
• Experience with quality monitoring and root cause analysis.
• Strong problem-solving skills and ability to see patterns in large datasets.
• Customer-focused mindset regarding data quality impact on business outcomes.
• Demonstrated ability to work independently while managing multiple complex projects.
• Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.).

Key Skills

Education

Any Graduate