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DESCRIPTION

Are you adventurous, innovative, able to move at the speed of light, and interested in using your Analytic skills to help evolve the way we serve our customers? Are you interested in being part of an organization that delivers for our last mile delivery stations starting with our customers and works backward to deliver meaningful products to our business? Are you passionate about changing customer's lives for the better? If this sounds exciting to you, then consider joining us as an Business Intelligence Engineer II, in our Amazon Logistics ACES team !

The AMZL ACES Programs team is hiring a Business Intelligence Engineer (BIE) in the Analytics space to support both On Road and Under The Roof program teams. The Analytics team is responsible with providing all reporting solutions required by the program team to drive process improvements to drive programs impacting safety, quality and cost to completion. In your role as a BIE, your main responsibility will involve collaborating closely with internal stakeholders to establish crucial performance metrics (KPIs) by leveraging your extensive knowledge of supporting business and operational processes. Your task will also encompass implementing these KPIs into dashboards and reports, which will serve as influential tools guiding the decision-making process of senior leadership. As a BIE, you will not only apply your technical expertise, including SQL proficiency for data retrieval and presentation in the form of graphs and tables, but you will also have the opportunity to create comprehensive dashboards. These dashboards will be characterized by their wealth of information, flexibility, and user-friendliness, enabling support leadership to uncover valuable insights that ultimately enhance the customer experience at AMZL.

Key job responsibilities

  • Design, build, and own the development and maintenance of custom reporting and dashboards to support the AMZL ACES Program teams.
  • Run daily, weekly, monthly reports with an ongoing cadence to support the team with data to help with project execution.
  • Write high quality SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.
  • Use the latest technologies to create robust data models that ensure data health, accuracy, and completeness
  • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
  • Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
  • Own and perform individual deep dive analyses, including communicating results and implications to leaders.
  • Work with customers to translate complex or ambiguous business problem statements into analysis requirements.

About the team

Analytics team will be supporting the data and reporting needs for UTR and LMDX program teams within AMZL ACES. The requests for the team ranges from simple adhoc data request to building complex dashboards that are part of S-Team goals. The analytics team also provides learning grounds to learn new skills and implement them real time to improve customer experience. The solutions provided by the Analytics team provides on-time and accurate data for our program teams and help them deliver programs that improve safety, cost and quality to both our internal and external customers.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | Nashville, TN, USA

BASIC QUALIFICATIONS

  • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience writing complex SQL queries
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
  • Knowledge of advanced skills in Excel as well as any data visualization tools like Tableau or similar BI tools (familiarity with Tableau preferred)
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience in Statistical Analysis packages such as R, SAS and Matlab

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $79,600/year in our lowest geographic market up to $185,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Confirmed 11 hours ago. Posted 20 days ago.

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