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Manager, Analytics (ADBL191)

Audible, Inc. - B132h ago
United StatesHybrid$109.5K–$185KFull-timeManager Level1+ yrs exp
H-1B verified · 2310 LCAs

Top focus

Analytics Engineer

Employer: Audible, Inc. Title: Manager, Analytics Location: 1 Washington Park, Newark, NJ, 07102 Duties: Leverage datasets from across the company and utilize analytics skills (including SQL, Excel, and Tableau) to produce critical dashboards, one-off reports, and presentations.

Responsible for translating data capturing customer behavior into agile, insightful analytics that are communicated clearly and effectively, and lead to optimal marketing actions and long-term strategies. Partner with stakeholders as a strategic collaborator by owning business intelligence analyses end-to-end, providing stakeholders with timely, relevant insights, scenarios and recommendations, and democratizing results via internal intelligence platforms for long-term use.

Produce tangible, actionable insights and work with senior marketing leaders to guide the marketing roadmap and business strategy. Build dashboards and scorecards that enable leaders to understand and act upon data to create and iterate on various marketing tactics.

Manage a portfolio of highly consumable competitive intelligence assets (e.g., dashboards, papers, presentations, datasets) that can be used strategically across stakeholder and analyst groups and find opportunities to enhance that portfolio based on stakeholder needs and feedback.

Analyze A/B tests across Amazon and Audible surfaces, provide recommendations based on testing results, and deep-dive into results to develop new hypotheses for continuous testing-and-learning. Support reporting on the incremental impact of marketing tactics including major marquee promotions, launches, and ongoing campaigns.

Develop Amazon-scale data pipelines using AWS. Contribute to the growth of the Audible Insights Org by sharing and developing ideas and learning from others. Position reports into Newark, NJ office; however, telecommuting from a home office is allowed

Requirements

  • Requires a Master’s degree in Analytics, Statistics, Business Intelligence, Mathematics, Computer Science
  • a directly related field plus one (1) year of experience as an Analytics Manager, Business Intelligence Engineer
  • a related occupation involving experience in business intelligence, analytics, data science
  • technical project management.
  • Experience may be gained concurrently and must include one (1) year of experience in the following: - Utilizing SQL to extract and merge data from varied sources, produce analyses
  • manipulate databases - Tableau or similar visualization software - Technical project management in the areas of analytics, data science
  • data engineering - Advanced Excel - Programming in Python or R to model data using advanced statistical methods - Setup and analysis of large-scale A/B tests (user-based or geo-based) - AWS tools including Amazon SageMaker Salary: $109,500 - $185,000 / year.
  • Dependent on the position offered, equity, sign-on payments
  • other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
  • For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
  • Apply online: www.amazon.jobs Job code: ADBL191. #0000

Requirements

  • Requires a Master’s degree in Analytics, Statistics, Business Intelligence, Mathematics, Computer Science
  • a directly related field plus one (1) year of experience as an Analytics Manager, Business Intelligence Engineer
  • a related occupation involving experience in business intelligence, analytics, data science
  • technical project management.
  • Experience may be gained concurrently and must include one (1) year of experience in the following: - Utilizing SQL to extract and merge data from varied sources, produce analyses
  • manipulate databases - Tableau or similar visualization software - Technical project management in the areas of analytics, data science
  • data engineering - Advanced Excel - Programming in Python or R to model data using advanced statistical methods - Setup and analysis of large-scale A/B tests (user-based or geo-based) - AWS tools including Amazon SageMaker #0000 Please see job description and the position requirements above.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
  • If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
  • If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Required skills

SQLExcelTableauPythonRAWS
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