Who we are
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 to solve big data challenges and want to help us build a better industry then your place is with us.
What will you do
The Senior Product Analyst is a key player in the Product Management team and helps drive data-driven decisions across different product domains. The Senior Product Analyst role includes querying and analyzing data, evaluating feature alternatives, designing experiments, and planning and creating dashboards. The individual in this role will work directly with Product Managers to support product decision questions and analyses.
This role is part of a professional data analysis team which supports core products that serve advertisers and publishers across the digital landscape. 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 and geographies.
Job Responsibilities
Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations.
Defining, calculating and evaluating success metrics.
Communicating state of business, experiment results, etc. to product & development teams.
Monitoring key product metrics & system health, conducting root cause analyses.
Asking business and product-relevant questions and answering them with data.
Partnering with Operations & Engineering teams to improve process efficiencies
Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues.
Who you are
BA/BSc degree in a quantitative field.
4+ years of full-time working experience in quantitative analysis roles.
Hands-on experience with SQL, Python (for data manipulation), and any data analysis tool, such as Looker.
Excellent understanding of statistics (e.g., hypothesis testing, regression types).
Experience working with a product team on data-driven decisions
Good product sense - show ability to understand the analytics tasks' context, goals, and implications.
Capable of working simultaneously with many different stakeholders in several geographies.
Excellent verbal and written communication skills.
Preferred Qualifications
BA/BSc in Statistics, Mathematics, Economics, Computer Science, Physics, Engineering, or other technical fields. Graduate studies are an extra advantage.
MA in a quantitative field