Engineering · Bellevue, United States
Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the user, the context, the message, and the campaign objectives. We combine deterministic data and advanced processing techniques to continuously train these algorithms as they optimize our clients’ key performance indicators (KPIs), predicting consumer behavior in order to autonomously drive full-funnel marketing performance at scale.
The Campaign Management Team at Cognitiv is a highly visible team at the center of our products. We are looking for a Campaign Analyst with experience in AdTech who can work cross functionally across Science and Client Success to drive campaign performance. You will do by performing analysis to understand bidding behavior and campaign context and translating that into campaign decisions that will improve our overall approach to campaigns. Your day-to-day responsibilities include the application of in-depth analysis, performed by you, to campaigns as well as enhancing the team’s operational monitoring capabilities. You should be comfortable analyzing, interpreting, and communicating results to upper management.
As a key member of a visible team, you must be a strong communicator and an advocate for the insights you discover. These insights will have a broad impact across our business.
Campaign Analysts use SQL and similar languages to query data sets with billions and sometimes trillions of rows. A strong understanding of SQL and familiarity with query efficiency is essential for this role. Python use in a professional context is important to this role. Previous experience with big data is a plus. You should be comfortable with visualization tools like Tableau, creating derived tables, and setting up automated data pipelines.
We value in-person collaboration with team members and have a hybrid work schedule. This position will be located in our Bellevue, WA office with 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).
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