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DoubleVerify

Senior Product Analyst, Streaming TV

Reposted 12 Days Ago
In-Office
8 Locations
Mid level
In-Office
8 Locations
Mid level
The Senior Product Analyst uses data analysis for decision-making within product management, creates dashboards, and collaborates with stakeholders.
The summary above was generated by AI

About DoubleVerify

DoubleVerify is the recognized market innovator with the technology that accurately authenticates the quality of digital media and drives ad performance for the world's leading brands. DV provides media transparency and 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 and helped build a better industry. Learn more at doubleverify.com. We operate at a massive scale, our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in less than a fraction of second.


Position Overview

The Senior Product Analyst is a key player in the Product Management team and enables data-driven decisionmaking across different product areas. The Senior Product Analyst works closely with stakeholders to drive meaningful product decisions through thoughtful data analysis and key performance indicator monitoring. 

This role is part of a professional data analysis team that supports product development serving advertisers and publishers across the digital landscape, with a focus on Streaming TV. The role requires big data analyses, attention to detail, business understanding, and strong 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, Python and other data analysis tools to query and analyze data

  • Liaise with Product Managers and Engineering teams to inform data models

  • Create dashboards to track KPIs using Looker and Tableau.

  • Conduct impact analysis of proposed product changes, evaluating feature alternatives, and designing experiments. 

  • Develop an understanding of the business in order to work on analysis proactively and independently

  • Recommend key metrics to Product Managers and Product Leadership to support product support related questions and  analysis. 

  • Work on a hybrid basis with 3 days per week in the NYC office

Minimum Qualifications

  • Strong analytical skills and critical thinking

  • Hands on experience with SQL and data analysis tools

  • 3+ years of full time working experience in quantitative analysis roles 

  • Understanding of statistics (e.g., hypothesis testing, regression types)

  • Excellent verbal and written communication skills, with experiencing working across multiple teams.
     

Preferred Qualifications

  • BA/BS degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field

  • Experience working with a product team on data-driven decisions

  • Experience in adtech/streaming TV is a plus.

  • Experience in Looker or Snowflake is a plus. 

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between [$135,000 - $168,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact:
 Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Top Skills

Looker
Python
Snowflake
SQL
Tableau

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