Through our publishers, Sovrn Holdings reaches over 200 million people every day, generating over 10 billion HTTP requests daily. These requests must be processed in less than 250 milliseconds, and result in several petabytes of data on a monthly basis. The exciting technical problems we solve require a world class team and engineering culture to deliver against our mission.

In this role of Data Analyst you will be responsible for becoming an expert on a broad portion of the Sovrn business. You will apply your expertise in data analysis to identify business opportunities to optimize our products and operations. You will partner with business leaders to guide decisions based on analysis of large datasets, rigorous testing, and a deep understanding of the technical workings of the ad exchange. Projects may include developing optimization systems for the exchange, building simulations of product changes, and building prototypes of new features to increase performance of our ad exchange.

You will partner with data scientists and engineers to develop your big data skills and use powerful tools to develop insights and optimization in Sovrn’s high performance real-time ad exchange.

What you will be doing:

• Develop detailed expertise in the technical workings of the Sovrn exchange
• Develop expertise in each data resource, methods to extract and process data (sql, hive, spark, etc...)
• Develop expertise in the business drivers in a specific area of the Sovrn business
• Partner with business leaders in that area to drive performance improvements through rigorous analysis and decision support
• Drive business initiatives in that area through modeling, automating, and driving product design and testing.
• Analyze and solve problems at their root, stepping back to understand the broader context
• Collaborate with data scientists, product managers, engineers, and data platform teams to further develop Sovrn’s products and data resources.

What we'd like for our next hire to have:

• Bachelor's degree in quantitative, analytic field
• Expertise in SQL and relational databases
• Experience with any programming language
• Strong communication skills
• Ability to convert business problems into structured analysis and back to business solutions
• Experience analyzing data to extract business recommendations
• Comfortable in fast-paced, start-up environments

Nice to Have

• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Experience with Python
• Experience with Java or Scala
• Experience with AWS

Position Reports to: Director, Data Science

About Sovrn

We spend a great deal of our time online. Whether it’s for information, commerce, or entertainment, each of us has come to depend on what we research, discover, and share. Publishers – those who create and curate content – are what makes the Internet great. Yet these publishers practice their craft largely alone, in siloes – without reference points or insightful understanding about where they sit in the grand scheme of things. To add to the challenge, once a Publisher’s content is in the wild, then the task of building engagement, growing a loyal following and enriching the engagement with that following can sometimes feel like shots in the dark or worse, a black box. Moreover, making money from their craft can be a complex task for any independent publisher who might prioritize generating content first and money second.

Sovrn believes that independent publishers are the Internet's vibrancy. As a partner and advocate to tens of thousands of independent publishers, Sovrn provides tools, technologies and services that help publishers (a) make money; (b) get distribution to grow their audience; and (c) access a massive data commons providing extraordinary insights.

The landscape of content networks, adtech vendors, and the myriad of buy-side / sell-side companies can be a complete maze for any reasonable person to decipher. Sovrn cuts through the noise and simplifies things with a basic, straightforward mission:

Help content creators do more of what they want to do – and less of what they don’t