Product Analyst Intern

Back to jobs Product Analyst Intern Tel Aviv, Israel Apply   Who we are DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and 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 and over 1M RPS at peak, we process events in real-time at low latencies (ms) and 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 and measure the viewability and user’s engagement throughout the ad’s lifecycle.  We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge-scale environment and want to help us build products that have a huge impact on the industry, and 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, and have a keen product intuition.   What you’ll do This role will support our Brand Safety and 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 and analyzing data, evaluating feature alternatives, and creating insightful dashboards.   Job responsibilities Gather and analyze large amounts of information to discover and develop compelling, insightful, data-driven recommendations. Define, calculate, and evaluate success metrics. Communicate the state of business, experiment results, etc., to product and engineering teams. Monitor key product metrics and system health, and conduct root cause analyses. Partner with Operations and Engineering teams to improve process efficiencies. Develop a deep understanding of the products and their development processes, determine the best solutions for everyday issues, and 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 and data-driven decision-making. Basic experience with SQL and 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 and written communication skills in English. Capable of working simultaneously on multiple tasks. Willing to learn and 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#    Create a Job Alert Interested in building your career at DoubleVerify? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with Greenhouse First Name * Last Name * Email * Phone * Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... Discipline Select... Start date year End date year Add another LinkedIn Profile Website Now or in the future, will you require sponsorship? * Where did you first learn about this opportunity? (If you were referred, please note individual's name) * Did you meet with anyone from DoubleVerify at a conference or event recently? * Let us know where you saw DV Did you know that there is a DoubleVerify Engineering blog? * Select... Check out the DV Engineering Blog Submit application