Senior Data Analyst

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.

What you'll 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 that 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 Responsibility

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.
3+ years of experience with quantitative analysis.
Extensive hands-on experience with SQL
Hands-on experience with Python (for data manipulation), or any other data analysis language (SPSS, R, etc.), Excellent understanding of statistics (e.g., hypothesis testing, regression types).
Excellent verbal and written communication skills in English.
Capable of working simultaneously on multiple tasks.

Preferred Qualifications

BA/BSc in a quantitative field: Statistics / Mathematics/ Economics /Computer Science, Physics/ Biology/ Psychology/ Chemistry/ Engineering, or other technical fields. Experience working with a product team on data-driven decisions

MA in a quantitative field