Data Activation Analyst

** Department/Group Overview:*
* Supporting the Disney Advertising organization within Entertainment and Sports, the Audience Modeling and Data Science team are subject matter experts in each of the following areas:

+ Creating and optimizing audience segmentation models that enable us to reach specific audiences based on brand affinities, app behavior, and video viewership among other things

+ Examining other ways to expand audience sizes and depth through look-alike modeling of behaviors within our own network of digital properties

+ Analyzing the performance of audiences in real-world campaigns and optimizing audience usage and composition

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* Job Summary:

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* We're looking for an intellectually curious, business-savvy, analytical powerhouse to join the Audience Modeling and Data Science team as an Analyst, Data Activation. In this role, you will be responsible for supporting the Audience Modeling and Data Science team's incoming data driven requests from various Disney Advertising Sales teams. You will have a base understanding of the media landscape with an understanding of how data can drive better results through improved ad targeting.

This position functions both as a consultant and as a high-level data analyst.

** Responsibilities and Duties of the Role:*
* + Field data driven sales requests for our agency and client partners in response to their RFIs and RFPs

+ Communicate market and client needs based on campaign performance, client feedback, and industry trends to the rest of the Audience Model and Data Science team in order to drive the conception and prioritization of data capabilities, while balancing overall revenue driving opportunities.

+ Assist in Troubleshooting issues of technology platforms as needed:
Blue Kai, Live Ramp, Clypd, GAM, Tableau, Neustar, Salesforce

+ Knowledge of data analysis, manipulation, reporting, and formatting

+ Some experience in a consulting environment or client facing environment

+ Provides support and point of contact for department clients requesting routine information, data summaries and or reports

+ Be part of a great team, but capable of operating independently - managing relationships, deliverables and expectations with your business partners

+ Assist with education and sales support on Audience Modeling and Data Science data capabilities to help grow and diversify revenue

+ Focus on continuous process improvement through automation and increased efficiency

** Required Education, Experience/Skills/Training:*
* + B.A./B.S. in a quantitative field of study

+ 2+ years of experience in a role requiring knowledge of cross-platform data-driven ad business, data science, analytics, research, ad-tech, and/or mar-tech

+ Excel at juggling multiple requests, staying organized and prioritizing deadlines

+ Strong experience working with Excel and moderate experience with PowerPoint / Keynote

+ Experience using data visualization reporting tools (e.g., Tableau)

+ Some exposures to various data platforms (e.g. Live Ramp, Neustar, Oracle)

+ Great at communicating deadlines, feasibility of tasks and managing expectations

+ Great at collaborating with cross-functional teams and flexible in collaboration styles

+ Passionate about technology and relish the opportunity to learn and apply new technical concepts to your work

+ Agility, curiosity in configuring/navigating in the complex and ever-evolving ad stack landscape

The hiring range for this position in New York, NY is $83,200 to $111,500 per year and in Santa Monica, CA is $79,400 to $106,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

** Job :*
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* Location:

** New York,New York

** Job Posting Company:
** Disney Advertising

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