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, or a directly related field plus one (1) year of experience as an Analytics Manager, Business Intelligence Engineer, or a related occupation involving experience in business intelligence, analytics, data science, or 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, and manipulate databases
-
Tableau or similar visualization software
- Technical project management in the areas of analytics, data science, or
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, and 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. Multiple positions. Apply online: www.amazon.jobs Job code: ADBL191.
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Requirements: Requires a Master’s degree in Analytics, Statistics, Business Intelligence, Mathematics, Computer Science, or a directly related field plus one (1) year of experience as an Analytics Manager, Business Intelligence Engineer, or a related occupation involving experience in business intelligence, analytics, data science, or 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, and manipulate databases
-
Tableau or similar visualization software
- Technical project management in the areas of analytics, data science, or
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
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Please see job description and the position requirements above.
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