Senior Data Analyst

Short Description

Pixalate is seeking a Senior Data Analyst who can create visualizations and effectively communicate your research insights to the product management and marketing teams.

Job Description

About the Company
Pixalate is a cross-platform digital advertising fraud intelligence company, offering the only system of coordinated invalid traffic (‚??IVT‚??) detection solutions across desktop, mobile web, mobile in-app, and OTT/CTV for better detection, diagnosis, and elimination of ad fraud.

We are under the midst of one of the biggest shifts in ad tech right now with overwhelming industry demand for greater transparency and protection against ad fraud.  Concurrently, media spends are steadily shifting more towards newer channels like OTT/CTV which are poised to explode, yet present difficult challenges around measurement and fraud protection.  Pixalate is uniquely positioned to capitalize on these industry trends by being the first fraud protection provider to offer MRC accredited omnichannel fraud protection solutions that are focused on actually reducing fraud, not just measuring it, and our explosive growth over the last quarters reflect that!

What you'll do:
  • Work with other analysts, data scientists, product managers, marketers and engineers, and apply your expertise in quantitative data analysis to create innovative solutions. 
  • Provide technical support for the existing products and help to resolve client tickets. 
  • Discover new types of fraud and develop algorithms for early detection and prevention. 
  • Create visualizations and effectively communicate your research insights to the product management and marketing teams. 
  • Create scripts to automate reports for recurring requests.
  • Create and test statistical hypotheses.
  • Support data-driven decision making.

Minimum qualifications:
  • BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields.
  • 2-3 years of professional experience in data analysis, or other domain-relevant internships.
  • Fluency in SQL and ability to write complex queries to process very large amounts of data. 
  • Experience with Python/Jupyter or R.
  • Familiarity with online advertising and advertising fraud. 
  • Attention to detail.

Preferred qualifications:
  • MS in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields.
  • Excellent verbal and written communication skills, with high attention to detail.
  • Ability to find hidden patterns in very large datasets. 
  • Experience assessing risk and detect anomalies in large datasets. 
  • Ability to conduct real testbed traffic analysis from mobile devices. 
  • A team player who can collaborate with data scientists, engineers, product managers, and other cross-functional teams.
  • Ability to initiate and drive projects to completion with minimal guidance.
  • Demonstrable ability to quickly understand new concepts.
  • Ability to communicate the results of analyses in a clear and effective manner to a senior audience
  • Concrete understanding of Internet protocols such as HTTP, Proxy technologies, and Computer Networking fundamentals.
  • Familiarity with industry-standard KPIs, and how to construct them from raw data.

Senior Data Analyst
Mid-Senior-level Technology | Information Technology | Information Full-time Information Technology | Other | Engineering | Analyst Data Analyst
Our products provide benchmarks, analytics, research and threat intelligence solutions to the global media industry. We make this happen by processing over 10PB (yes, that's 10,000 terabytes) of data and trillions data points a day across desktop, mobile, tablets, connected-tv that are generated using Machine Learning and Artificial Intelligence based models.

We are the World's #1 decision making platform for Digital Advertising. And don't just take our word for it -- Forrester Research consistently depends on our monthly indexes to make industry predictions.