Business Intelligence Engineer, Reputation Marketing & Insights

Amazon

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profile Job Location:

Arlington, TX - USA

profile Yearly Salary: $ 89600 - 185000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

The Reputational Marketing & Insights (RMI) team at Amazon is seeking a highly skilled and motivated Business Intelligence Engineer (BIE) to join our global research program focused on tracking and understanding brand perception through survey-based insights. Our team plays a critical role in informing Amazons strategic communications. We do this through recurring global perception tracking ad hoc research and tailored reporting for senior stakeholders across the company.

As a BIE on our team you will drive the data engineering and reporting workstreams that bring our research to life. You will be responsible for producing high-impact visuals and deliverables that communicate insights clearly and effectively maintaining data pipelines and developing intuitive dashboards. This is a unique opportunity to apply your technical and analytical skills in a research-rich environment that directly shapes how Amazon communicates its story to the world. The work will challenge you to be resourceful think big while staying connected to the details and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense making our work both meaningful and energizing.

The ideal candidate possesses endless curiosity and is skilled at translating complex or ambiguous problem statements into analytic requirements. The candidate must be able to extract manipulate and summarize large data sets using business intelligence and reporting tools. We are seeking a candidate who will continuously learn new systems tools and industry best practices to help design new tools that help our team automate and accelerate analytics.


Key job responsibilities
Design and maintain automated reporting dashboards and analyses to enable our team to increasingly self-serve data needs
Produce clear and compelling ad hoc charts and visual narratives tailored to specific business questions or communication needs
Own the data pipeline and automation processes supporting Amazons global brand perception tracking program
Look around corners to identify and execute on future-facing data-related strategic opportunities
Identify opportunities to simplify existing research processes and operate more nimbly
Collaborate closely with researchers data scientists and communication leads to translate insights into action
Partner with cross-functional teams to evolve our tech stack and BI infrastructure in line with growing program needs
Scale learnings and insights to other teams in CCR and the broader Amazon marketing and communications community

About the team
This team sits within the Communications and Corporate Responsibility (CCR) organization. Our focus is on conducting research that identifies messaging opportunities and informs communication strategies for Amazon as a brand.

- Experience with data visualization using Tableau Quicksight or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Bachelors degree in Computer Science Information Systems or other technical degree
- 3 years of data engineering database engineering business intelligence or business analytics experience
- Knowledge of a scripting language (Python R etc.)
- Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables messages and presentations
- Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround or experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines
- Experience communicating to senior management and customers verbally and in writing
- Experience with statistical techniques used for survey design and analytics (e.g. Chi-square regression)
- Proven ability to work in an interdependent team and develop processes at scale

- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience working with cross-functional teams
- Knowledge base of marketing and communications measurement

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89600/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. 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
This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Reputational Marketing & Insights (RMI) team at Amazon is seeking a highly skilled and motivated Business Intelligence Engineer (BIE) to join our global research program focused on tracking and understanding brand perception through survey-based insights. Our team plays a critical role in inform...
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Key Skills

  • Business Intelligence
  • Cognos
  • SQL
  • Power BI
  • QlikView
  • Data Visualization
  • ssrs
  • Tableau
  • SSIS
  • Data Modeling
  • Data Warehouse
  • Data Analysis Skills

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