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. 

Position Overview

The Product Analyst is a key player in the Product Management team & they will drive data based decisions across the different product areas. This role is part of a cross functional team that creates products to serve advertisers & partners across the digital landscape. The role requires big data analysis & attention to detail, as well as a good product intuition. Communication skills are incredibly important, as the position interfaces across functions. 

In order to be successful in this role, the candidate must:

• Use SQL & other data analysis tools to query & analyze data
• Create dashboards to track key KPIs
• Conduct impact analysis of proposed product changes, evaluating feature alternatives, & designing experiments. 
• Understand the business & the data bases well enough to work on analysis proactively & independently
• Form recommendations based on data analyses
• Define & refine new data quality check processes & procedures
• The product analyst will also work directly with Product Managers on product support related questions & analysis. 
  
  

Minimum Qualifications

• Strong analytical skills & critical thinking
• Hands on experience with SQL & data analysis tools
• 3+ years of full time working experience in quantitative analysis roles 
• BA/BS degree in a quantitative field 
• 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 other technical field
• Experience in BigQuery & Spark SQL is a plus.
• Experience in Cloud Platforms, DataStudio, Splunk and/or Lookr is a plus.