Amazon

DESCRIPTION

Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Global Air (AIR)! AIR is a worldwide, customer-obsessed transportation provider of choice that safely delivers low cost, high quality service. AIR realizes this vision through a talented, inclusive, and diverse team, leveraging innovative technologies and a sustainability-aware mindset. Our AIR Data, Analytics and Business Intelligence team's fuels AIR's success through data driven decisions. We empower AIR business with actionable insights, advanced analytics, and strategic foresight. By leveraging data as a strategic asset, we enable agility, uncover new opportunities, deliver trusted intelligence and delight our customers.

We are looking for an experienced, innovative, and strategic Business Intelligence Engineer (BIE II) who will be comfortable diving into complex problems and using data to recommend business decisions. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.

This role will partner closely with the business teams to understand the data-needs of the team and ensure that the business teams are able to answer hard questions with real data. This individual will participate in business reviews and new-initiatives. They should be able to identify and help close gaps in the information available, as well as predict up-and-coming data needs when participating in discussions about new products or features.

Key job responsibilities

Data Collection and Integration:

• Gather data from various sources (databases, APIs, files, etc.)
• Design and implement data integration processes
• Ensure data quality and consistency across systems

Data Modeling and Optimization:

• Implement ETL (Extract, Transform, Load) processes
• Write complex SQLs to convert raw data to meaningful metrics
• Optimize SQLs for improved performance

Report and Dashboard Development:

• Design and create reports and dashboards using BI tools (e.g., AWS QuickSight, Tableau, Power BI, Looker)
• Develop interactive visualizations to present data effectively
• Ensure reports are accurate & user-friendly

Data Analysis:

• Conduct exploratory data analysis to uncover insights
• Develop and implement statistical models and algorithms
• Perform ad-hoc analysis to answer business questions

Collaboration and Communication:

• Work closely with stakeholders to understand business requirements
• Translate business needs into technical specifications
• Present findings and insights to both technical and non-technical audiences

Data Governance and Security:

• Ensure data security and compliance with regulations

Continuous Improvement:

• Stay updated with the latest BI tools and technologies
• Automate processes where possible to increase efficiency

Documentation and Training:

• Create and maintain documentation for data models, processes, and reports
• Provide training and support to end-users on BI tools and dashboards

Problem-solving:

• Troubleshoot data discrepancies and technical issues
• Develop solutions to complex data-related problems

Data Strategy:

• Contribute to the organization's overall data strategy
• Identify opportunities for leveraging data to drive business value

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 with data modeling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• 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
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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
• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
• Experience working directly with business stakeholders to translate between data and business needs

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/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.