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Senior Analytics & Media Manager Amazon Jobs Canada

Job Overview

Canada Amazon Jobs::Analytics & Manager Jobs Amazon Canada::Amazon Jobs 2022, for High Paying Jobs, Amazon Advertising 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.

We are currently looking for a highly skilled and motivated Senior Analytics and Media Manager (Sr. AMM) to help scale our growing advertising business by working with advertising agencies to discover and leverage insights based on Amazon Advertising data.

The Sr. AMM is a key member of the Customer Success Team at Amazon Advertising, working with sales, product, retail, and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives.

Sr. AMMs work with Amazon’s unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities.

Day to day, Sr. AMM activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations for C-suite client leadership, and communicating recommendations in a clear and compelling fashion.

The strategic and consultative digital expertise of a Sr. AMM is critical to delivering the best return on investment for our customers. Experience working with a major advertising and/or media agency will help this individual work more effectively.

Post Name Senior Analytics & Media Manager
Company Name Amazon
Expected Salary CAD 80000 To CAD 85000 Per Year
Address Toronto, Ontario, Canada M5H 4A9

Responsibility

  • Use Amazon’s data, your agency experience, and your understanding of our advertising customers’ business to provide guidance to agency partner leadership and C-suite marketing leaders, via business reviews and frequent in-person client presentations to regularly iterate on and articulate a brand’s strategy.
  • Present findings and insights in a consultative way to the client and collaborate with the relevant internal teams in order to provide a complete solution.
  • Be able to deal with ambiguity in order to decipher complex problems, select an ideal solution from a wide array of analytic techniques and concepts, and translate it into actionable requirements for your team.
  • Have the ability to collaborate, work cross-functionally and communicate effectively across multiple business functions and geographies.
  • Be comfortable working with non-Canada-based advertisers and be able to ramp up quickly in terms of understanding the nuances of the advertisers in other locales.
  • Proactively provide appropriate levels of support and guidance to other locales outside of your core market.
  • Influence marketing initiatives and own account-level data and/or analytics-related strategic conversations internally and externally.
  • Deliver regular and bespoke analyses and insights for some of the world’s largest advertisers to drive growth across advertiser KPIs and help them grow their businesses.
  • Demonstrate deep analytical ability, and develop great expertise in Amazon’s proprietary metrics, working to constantly evolve and scale how we analyze and communicate data-driven insights to our advertisers.
  • Educate other teams on Amazon media offerings and keep them engaged by delivering learning sessions, and writing training documentation and whitepapers for internal and external use.
  • Be a proponent of data-driven decision-making and encourage clients to act on the recommendations.
  • Be someone who enjoys learning new skills and adopting new analytic methodologies and tools.
Industry Private
Schedule Type Full Time
Education Required Bachelor’s Degree in Related Field
Remote No

Basic Qualification:

  • Bachelor’s degree plus 10+ years experience in client-facing data analysis roles 
  • 5+ years of consulting experience with a major consulting firm or 5+ years of advertising experience with a top advertiser (agency side).
  • Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders
  • Excellent data-driven storytelling skills – you create and deliver compelling presentations with outstanding visuals · Comfortable presenting complex analysis in a simple, easy-to-digest way to C-suite level stakeholders
  • In-depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis, and model building
  • Advanced in SQL – ability to write complex queries from scratch from multiple tables, create the appropriate joins, extract and manipulate data, format fields, create new measures and metrics, etc.
  • Fluency with an advanced analytical tool (Python, R, SAS, etc.) – ability to run advanced statistical modeling and testing in one of the above languages
  • Fluency with visualization tools (Tableau, QlikView, Power BI, etc.) – ability to create interactive, user-friendly and compelling dashboards and reports.
  • Complete understanding of the end-to-end process of marketing campaign development and execution.
  • Excellent organizational, interpersonal, and communication skills (both written and verbal).
  • Ability to effectively manage competing priorities in a complex work environment, focusing on high-value activities

Preferred Qualification:

  • Experience in delivering client-facing reports in a consultancy role.
  • Experience with advertising publishers and marketing/creative agencies.
  • MBA, Master’s, or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience.
  • Experience in performance advertising in a role where you managed significant complexity and scaling challenges
  • Agency or Client Communications Planning experience
  • Experience in predictive analytics, experimental design, and A/B testing.
  • Experience and familiarity with AWS stack.
  • Publication track record/writing experience (ex. published a paper in a technical journal or trade publication). 
  • Experience in campaign management and setup. Amazon is committed to a diverse and inclusive workplace.

About Company

Amazon.com, Inc. is an American multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It has been referred to as “one of the most influential economic and cultural forces in the world”, and is one of the world’s most valuable brands.

Amazon was founded by Jeff Bezos from his garage in Bellevue, Washington, Initially an online marketplace for books, it has expanded into a multitude of product categories: a strategy that has earned it the moniker The Everything StoreIt is one of the Big Five American information technology companies, alongside Alphabet, Apple, Meta, and Microsoft.

Amazon’s mission statement is: “To serve consumers through online and physical stores and focus on selection, price, and convenience.”
 
Amazon Vision Statement: Our vision is to be earth’s most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online.
 

Interview Questions for Senior Analytics & Media Manager:

  1. What data would you compile to forecast our company’s growth for next year?
  2. How would you organize data into spreadsheets to track performance metrics for each department? What kinds of reports would you produce?
  3. What models would you use to forecast monthly sales revenues based on historical data?
  4. How would you explain to senior managers how a big data model works, using simple language?
  5. What database software have you used?
  6. Describe your experience with statistical analysis tools, like SPSS and SAS.
  7. Do you have experience creating a data model from scratch? If so, describe the process step-by-step.
  8. How do you maximize the security of confidential data?
  9. What are the most effective ways to ensure your predictions are accurate using data correlation?
  10. What is selection bias and how can you avoid it?
  11. When presenting performance metrics, how do you make sure your audience understands technical terms?
  12. How do you stay up-to-date with industry trends?
  13. Describe the most challenging database issue you’ve faced so far. How did you handle it?
  14. Tell me about a time your findings helped a company identify areas of improvement and/or reduce costs.

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