Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track & analyze tens of billions of ads every day for the biggest brands in the world.

We operate at a massive scale, handling over 100B events per day & over 1M RPS at peak, we process events in real-time at low latencies (ms) & analyze over 2.5M video years every day. We verify that all ads are fraud-free, appear next to appropriate content, appear to people in the right geography & measure the viewability & users engagement throughout the ads lifecycle. 

We are global, with HQ in NYC & R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge-scale environment & want to help us build products that have a huge impact on the industry, & the web - then your place is with us.

About The Role

We are looking for a Product Analytics Intern to join our Product Analytics organization. This position reports to the Team Lead, Product Analytics working closely with the rest of the analytics team supporting our Product Organization. The ideal candidate will execute big data analyses, demonstrate strong attention to detail, communicate effectively, possess business acumen, & have a keen product intuition.

What youll do

This role will support our Brand Safety & Classification product organization in driving data-driven decisions across various areas. You will help bridge our data science endeavors through operational excellence, supporting the development of ML/AI technologies that power our classification systems, querying & analyzing data, evaluating feature alternatives, & creating insightful dashboards.

Job responsibilities

• Gather & analyze large amounts of information to discover & develop compelling, insightful, data-driven recommendations.
• Define, calculate, & evaluate success metrics.
• Communicate the state of business, experiment results, etc., to product & engineering teams.
• Monitor key product metrics & system health, & conduct root cause analyses.
• Partner with Operations & Engineering teams to improve process efficiencies.
• Develop a deep understanding of the products & their development processes, determine the best solutions for everyday issues, & suggest new features to address ongoing problems.

Who you are

• Currently pursuing a BA/BSc degree with 2-3 semesters left in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Engineering, or other technical fields having a GPA >= 85
• Available to work 2.5 days per week for 12 months. 
• Strong interest in quantitative analysis & data-driven decision-making.
• Basic experience with SQL & Python (for data manipulation) or any other data analysis language (SPSS, R, etc.).
• A team player with an ability to work independently as well as in a team
• Understanding of statistics (e.g., hypothesis testing, regression types).
• Excellent verbal & written communication skills in English.
• Capable of working simultaneously on multiple tasks.
• Willing to learn & be the best in what you do.

Preferred qualifications

• Experience working with a product team on data-driven decisions.
• Previous experience as a BI / Data / Product Analyst in B2B or Product companies

#Hybrid#