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DoubleVerify

Marketing Insights Analyst

Posted Yesterday
In-Office or Remote
Hiring Remotely in Australia
Junior
In-Office or Remote
Hiring Remotely in Australia
Junior
Analyze DoubleVerifys first-party data to generate marketing insights, maintain data sources and dashboards, present biweekly findings, support product launches, curate data narratives with cross-functional teams, and respond to ad-hoc internal requests.
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Who we are

DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, publishers and digital ad platforms. DV’s technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

What you’ll do 

DV is looking for a creative Data Analyst to join the Marketing Insights team. In this role you will support data-driven marketing and thought leadership initiatives that strengthen DoubleVerify’s position as the market leader in ad verification technology.

Responsibilities include leveraging DV’s first-party data to:

  • Create and present findings, insights, and trends biweekly to internal stakeholders
  • Maintain data source integrity with regular updates and backups
  • Create new data sources and update dashboards as products are released for early access/general market
  • Maintain references & directories for public-facing stats, collateral, etc.
  • Work cross-functionally with other teams to curate data-based narratives for new and existing products
  • Respond to ad hoc data and insight requests from internal stakeholders

Who You Are

  • Familiarity with relational databases; strong ability to write and edit queries using SQL and/or other database programming languages
  • Experience managing data and visualizations with Looker, Tableau, Data Studio, or other business intelligence application
  • Minimum 1-2 years of experience in an analytical capacity (data & analytics, business analytics, or insights preferred)
  • Minimum 1-2 years of experience in the digital media/marketing or ad tech space
  • Ability to effectively communicate insights to different audiences with varying levels of technical expertise, and ability to jump between in-depth detailed analyses and connecting them to the bigger picture
  • Curious, self-starter and an analytical mind - not afraid to ask questions
  • Experience finding interesting, actionable insights within vast data sets to tell a story
  • Big data doesn’t scare you - skilled in managing complex data from multiple sources and have an understanding of ETL process
  • Passionate about data architecture, engineering, and visualization

Preferred Qualifications

  • Experience working in Python in an analytics capacity
  • Digital agency or ad tech experience
  • College coursework in business analytics, statistics, information technology, computer science, business and/or marketing

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $54,000 to $101,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

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