Short Description
Pixalate is seeking a Senior Data Analyst who has the ability to communicate the results of analyses in a clear and effective manner to a senior audience.Job Description
At Pixalate, we are passionate about data-driven products. Our software has transformed how the advertising industry approaches quality through our ratings and fraud prevention technology.
How is it working at Pixalate?
- We believe in Small teams that produce high output
- Slack is a way of life, short emails are encouraged
- Fearless attitude holds high esteem
- Bold ideas are worshipped
- Chess players do really well
- Titles don't mean much, you attain respect by producing results
- Everyone's a data addict and an analytical thinker (you won't survive if you run away from details)
- Collaboration, collaboration, collaboration
We are looking for a Senior Data Analyst to join Team Pixalate in our LA office! You will be working closely with the data science team, as well as big data engineers, and product managers to analyze large amounts of data and generate reports that can be used to solve tough business problems that span the area of fraud detection/prevention and advertising data analytics. Our mission is to help improve traffic quality in the advertising ecosystem by developing innovative solutions.
What you'll do:
- Work with other analysts, data scientists, product managers, 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 another quantitative field.
- 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.
Preferred qualifications:
- MS in Computer Science, Electrical Engineering, Math, Statistics, or another quantitative field.
- Excellent verbal and written communication skills, with high attention to detail.
- 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 and Computer Networking fundamentals.
- Ability to conduct real testbed traffic analysis from mobile devices.
- Familiarity with industry-standard KPIs, and how to construct them from raw data.
- Experience assessing risk and detect anomalies in large datasets.
Senior Data Analyst
Mid-Senior-level
Information
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Information Technology
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Technology
Full-time
Information Technology
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Engineering
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Other
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.