Analytics and Media Manager

Amazon.com - New York, NY (30+ days ago)3.6


Job Description Amazon Marketing Services (AMS) exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners.

AMS is currently looking for a highly skilled and motivated Analytics and Media Manager (AMM) to help scale our growing media business. The AMM is a key member of the AMS account team, working with sales, client success, product, retail and other Amazon business partners to analyze and improve an advertiser’s performance on Amazon, in support of their marketing initiatives. AMMs work with Amazon's unique data and translate it into high-quality, actionable insights to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, AMM activities include analyzing metrics of success for a business or category, developing reports for senior client leadership, developing and testing custom analytical solutions, and preparing client presentations to communicate recommendations in a clear and compelling fashion. The strategic and consultative digital expertise of an AMM is considered critical to delivering the best return on investment for our customers.

You will:
*Play a pivotal role with our largest and most complex accounts, working with account teams to drive KPI growth
*Be an analytical partner for advertisers, participating in upfront strategy and negotiations by providing relevant insights
*Deliver regular analyses and insights for some of the world’s largest advertisers to drive their businesses forward
*Influence marketing initiatives and own account-level data and/or analytics related strategic conversations internally and externally
*Exhibit analytical ability, and develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data driven insights to our advertisers
*Leverage Amazon’s data to understand our advertising customers’ business and provide guidance to C-suite marketing leaders, via business reviews and frequent in-person client sessions to regularly iterate on and articulate a brand’s story
*Drive decisions that increase the ease of use and availability of data to both internal teams and external partners
*Demonstrate behavior that exemplifies the Amazon Leadership Principles

Basic Qualifications BASIC QUALIFICATIONS
- Bachelor's degree plus 4+ years’ experience in client-facing data analysis roles
- Extremely curious with passion for discovering the underlying drivers of consumer behavior
- Strong organizational, interpersonal, and communication skills (both written and verbal)
- Ability to work cross-functionally and with others with diverse skill sets
- Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser
- Highly proficient with Microsoft Excel - including pivot tables and lookup functions
- Basic understanding of statistics, including means, medians and distribution analysis
- Familiarity with SQL – understand how to write and modify basic queries
- Familiarity with visualization tools (Tableau, QlikView, Power BI, etc.)
- Strong data driven storytelling skills – you create and deliver compelling presentations
- Core understanding of marketers’ challenges through relevant job experience
- 2+ years of consulting experience with a major consulting firm or with an F100 Advertiser (agency or client side)

Preferred Qualifications PREFERRED QUALIFICATIONS
- Digital media planning experience
- Familiarity with an advanced analytical tool (Python, R, SAS, etc.)
- MBA or Master’s degree in Economics, Marketing, Statistics, Advertising, or Business
- Experience in predictive analytics, experimental design, A/B testing
- Publication track record/writing experience (ex. published a paper in a technical journal or trade publication)
- Experience in collaborating with data science teams