About DoubleVerify

DoubleVerify is the recognized market innovator with the technology that accurately authenticates the quality of digital media & drives ad performance for the world's leading brands. DV provides media transparency & accountability to deliver the highest level of impression quality for maximum advertising performance.  Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend & helped build a better industry. Learn more at doubleverify.com.

About the Role

The Senior Product Analyst is a key player in the Product Management team & helps drive data-based decisions across different product areas. The Senior Product Analyst role includes querying & analyzing data, planning & creating dashboards, evaluating feature alternatives, & designing experiments. The individual in this role will also work directly with Product Managers on product support related questions & analyses. 

This role is part of a cross-functional team that creates products to serve advertisers & publishers across the digital landscape. The role requires big data analyses & attention to detail, as well as strong product intuition. Communication skills are incredibly important, as the position interfaces across functions. 

Job Responsibilities

• Gather & analyze large amounts of information to discover & develop compelling, insightful recommendations.
• Evaluating & defining success metrics.
• Monitoring key product metrics & system health, understanding the root cause of changes in metrics.
• Understanding how the system works to determine how to best solve everyday issues as well as suggest new features that can solve ongoing ones.
• Partnering with Classification Operations & Engineering teams to improve process efficiencies
• Influencing product teams through presentation of data-based recommendations.
• Communicating state of business, experiment results, etc. to product & development teams.

Minimum Qualifications

• Strong analytical skills & critical thinking.
• Hands on experience with SQL & data analysis tools.
• Hands on knowledge of a scripting language, such as R, Python, Julia, etc.
• 4+ years of full-time working experience in quantitative analysis roles. 
• BA/BS degree in a quantitative field. 
• Excellent understanding of statistics (e.g., hypothesis testing, regression types).
• Excellent verbal & written communication skills.
• Organized with a rigorous attention to detail.

Preferred Qualifications

• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or another technical field.
• Experience with ML/AI projects & products.
• Familiarity with the ad-tech environment.