Senior Data Analyst

Sorry, this job was removed at 06:57 p.m. (CST) on Friday, Jun 07, 2024
Easy Apply
Hiring Remotely in New York, NY
Remote
Hybrid
100K-172K Annually
Internship
AdTech • Big Data • Digital Media • Marketing Tech
IAS is a global media measurement and optimization platform.
The Role

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we're looking for Senior Data Analyst.  You will be responsible for ongoing monitoring and surfacing of new threats in the digital advertising ecosystem. This role and team will have extensive interaction with large data sets (we monitor  hundreds of thousands of transactions per second and collect tens of billions of events each day)

Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we're looking for Data Analysts. You will be responsible for ongoing monitoring and surfacing of new threats in the digital advertising ecosystem. This role and team will have extensive interaction with large data sets (we monitor hundreds of thousands of transactions per second and collect tens of billions of events each day)
What you'll get to do:

  • Analyze and investigate impression level data in order to conceptualize stories, and write research reports, articles, blogs and bulletins
  • Partner with Marketing to drive publication and distribution of noteworthy stories coming from internal investigations
  • Apply business insight to research for C-Level thought leadership stories that define high level trends by industry, vertical or geographic area
  • Stay on top of emerging threats that could be first to market blogs
  • Assist product management, data science, and development in product/solution planning and prioritization

Qualifications/Requirements:

  • Bachelors or Master's degree in data science, computer science, computer engineering, digital forensics, cyber security, telecommunications, information assurance or security studies
  • At least 7+ years data analysis / data mining experience
  • Experience with ad tech strong preferred
  • Experience with the Threat Landscape and familiarity with threat tracking, attribution, and reporting
  • Ability to read/write Regex and Yara
  • Familiarity with ESX/VMware virtualization environments
  • Excellent analytical abilities and a strong ability to think creatively when approaching issues
  • Strong SQL skills including building functions & procedures, writing complex queries, and using SQL as an investigative tool
  • Familiarity with Python (Pandas/Numpy)
  • Ability to synthesize technical information about large datasets to communicate both qualitatively and quantitatively
  • Strong data mining skills
  • Strong interpersonal and presentation skills required – both oral and written, with the ability to educate others about complex technology/methodologies and clearly articulate business level benefits/impacts.
  • Strong verbal presentation and writing skills, including the demonstrated ability to write clear and concise text

New York Applicants: The salary range for this position is $100,000 - $172,000, actual pay may vary based on experience or geographic location.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ and https://muse.cm/2t8eGlN

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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What the Team is Saying

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The Company
HQ: New York, NY
900 Employees
Hybrid Workplace
Year Founded: 2009

What We Do

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Why Work With Us

The IAS media measurement and optimization platform delivers the most actionable data to drive superior results.

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