About DoubleVerify

DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you ever saw an Ad online via Web, Mobile, or CTV device then there are big chances that it was analyzed and tracked by us. 

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 a second.

We are global, we have R&D centers in Tel Aviv, New York, Finland, Belgium and San Diego, we work in a fast-paced environment and have a lot of challenges to solve. If you like solving big data challenges and want to help us build a better industry then your place is with us.

 

Position Overview

You will lead a team of experienced data analysts and help them in developing innovative measurement products

  • Lead and manage a team of data and product analysts that are responsible for defining and analyzing large datasets using SQL and Python
  • Conduct data analysis and provide meaningful business insights, driving development of new product features 
  • Work closely with R&D teams and Product Managers to define, measure and identify opportunities to improve products
  • Create interactive dashboards and alerts that track core business and product KPIs, making sure we have full visibility on changes and their impact

 

Job Responsibilities

  • 2+ years of experience leading data/product analysts teams
  • 4+ years of full time working experience in quantitative analysis roles. 
  • Proven track record of handling large datasets and performing quantitative analysis
  • Data driven, using data constantly to drive and make the right product decisions and suggest improvements
  • Strong experience with SQL and working with analytical databases such as Databricks, Snowflake, Vertica, BigQuery, or equivalent.
  • Software Engineer Python proficiency, strong statistical analysis experience, data gathering, cleaning and transforming using Jupyter Notebooks/Google Collab.
  • Experience working with BI/Analytics tools (e.g. Tableau, Looker, Periscope, Qlik etc.)
  • Excellent understanding of statistics (e.g., regression types).
  • Excellent verbal and written communication skills.
  • A team player with excellent problem-solving skills and strong attention to detail.

Nice to have

  • Bachelor's Degree in Information Systems Management, Computer Science, or any other quantitative degree

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