Senior Analyst, Atlas (Beautiful Seattle)

Job Description
Atlas, a division of aQuantive, Inc. is a provider of digital marketing technologies and expertise. Atlas offers agencies and marketers integrated solutions for online campaign management, rich media, search marketing, landing page optimization, reporting, and analysis to maximize their online ROI, and provides a highly scalable ad-serving platform to help online publishers increase revenue. Atlas delivers the industry's most complete service and support, serving its clients from offices in Seattle, San Francisco, New York, Denver, London, and Sydney.

The Senior Analyst is responsible for client strategy and project recommendations for product improvement. The Senior Analyst will at a minimum function as a mentor to more junior analysts on the team, and potentially act as a direct team lead.

Core Duties/Responsibilities

• Provide strategy and project recommendations for on-going analytical improvements to our products.
• Engage in critical analytic R&D for products, including prototyping analytics improvements to assess value of integration and explore implementation options.
• Provide support for software development and operations teams: assess implications of analytic improvements, assist in development of test cases, analyze system behavior, and monitor the performance of newly released algorithms.
• Mentor other analysts on the team.
• Generate ad hoc analyses for clients as necessary.
• Special projects as assigned.

• Creative person with strong analytics and quantitative ability.
• Must possess strong leadership skills.
• Adaptable, flexible person able to participate in a broad range of roles and function well in the face of time and resource constraints
• Must have sufficient programming and statistical package expertise to function independently and work with data directly.
• Basic familiarity with relational databases (i.e., SQL) required; additional programming experience (i.e., VBA / C# / C++) strongly preferred.
• Must be open to learning new skills.

• A college degree with significant coursework in statistics, math, computer science, and/or econometrics required.
• Post-graduate degree in a quant-related field strongly preferred
• Demonstrated leadership ability required; direct experience managing highly quantitative personnel strongly preferred
• 5+ years experience data mining or generating statistic-based research
• Experience working in an entrepreneurial environment preferred
• Experience in interactive marketing a plus

posted by: Jeanine Wallner

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