Principal Product Analyst, DoubleVerify

• The ideal candidate will excel strategically and be hands-on, executing big data analyses, demonstrating strong attention to detail, communicating effectively, possessing business acumen, and having keen product intuition
• Bachelor’s degree in mathematics, statistics, engineering or related quantitative discipline, or equivalent experience
• 6+ years of full time working experience in quantitative analysis roles
• 3+ years of experience conducting business analyses and presenting insights/opportunities to upper management to inform key business decisions of senior leaders
• Strong analytical skills and critical thinking
• Proven experience in AdTech or a demonstrated knowledge of programmatic advertising, and the digital advertising ecosystem
• Advanced SQL proficiency and working in big data environments like Snowflake, Vertica, BigQuery, and Databricks/Spark
• Advanced experience in automated reporting using data visualization software: Tableau, Power BI, Looker, etc
• Ability to work collaboratively in a fast-paced environment
• Excellent verbal and written communication skills
• Organized with a rigorous attention to detail

Desirable

• We are seeking a bright, experienced Principal Product Analyst to support our Classification and Brand Safety product organization
• DoubleVerify is seeking a strategic, analytical, and innovative Principal Product Analyst to lead high-visibility analytics initiatives for our Classification and Brand Safety team
• You will collaborate with product managers, engineers, and analysts to build comprehensive analytics and insights that drive our product feature roadmap and enhance our classification models
• This role is integral to DoubleVerify, serving as a strategic thought partner to both product management and engineering teams, ensuring data-driven decision-making
• Additionally, you will lead metrics reviews with partner teams and maintain a continuous feedback loop, highlighting key product KPIs and their impact on our roadmap
• Gather and analyze large amounts of information to discover & develop compelling, insightful recommendations
• Evaluate and define success metrics with dashboards to guide decisions
• Conduct impact analysis of proposed product changes, evaluating feature alternatives, and designing experiments
• Monitor key product metrics & system health, understanding the root cause of changes in metrics
• Understand how the system works to determine how to best solve everyday issues as well as suggest new features that can solve ongoing ones
• Influence product and engineering teams through the presentation of data-based recommendations