Sr. Business Intelligence Engineer

Key Skills

Java Programming, SAP, Design of Experiment, Python Programming, C++, C Programming, SQL, AWS, PowerBI, Spark-SQL, Scala Programming, Alteryx, QlikView, Tableau, R Programming, SAS, QuickSight

Job Description

Job summary

Amazon Web Services (AWS) provides a highly reliable, scalable, and low-cost cloud platform that powers thousands of businesses in over 190 countries. The AWS Infra Supply Chain Automation team is responsible for building a broad array of products and services ranging from planning in response to forecast, to managing assets and inventory, catalog, orders and shipments, quotes, vendors etc. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Amazon Web Services is adding a Business Intelligence Engineer to its Infra Supply Chain Automation team. This role will help define analytical datasets for the world’s largest cloud computing infrastructure. In this role, you will develop and support the analytics solutions that give our teams flexible and structured access to their data, including defining metrics KPIs, dataset analysis, report optimization, and report automation. This role will also directly contribute towards reporting progress on our SVP goals for data accuracy and quality.

Our team is part of the AWS Infrastructure organization, which is responsible for planning, building, and operating all of our data centers around the world. This includes the global supply chain for physical servers, components, networking gear, power equipment, etc. Lots of big and fascinating data!

As a BIE, you will operate as the product manager for datasets in this space. You will work with BI tools regularly and partner with business stakeholders and development teams to drive changes within the business. You will also model multidimensional data-sets, and work with customers to answer key business questions. This role is analytical, creative and offers the opportunity to work in an ambiguous and fast-paced environment.

Primary Responsibilities:

• Develop and implement scalable and reliable analytics, tools, KPI dashboards, and metrics that drive key supply chain, procurement, engineering, and financial decisions
• Design and implement metrics dashboards to deepen understanding of data quality across our software systems and highlight opportunities for improvement
• Recognize and use advanced analytical techniques to recommend prescribed/ optimized courses of action to users
• Employ data mining, segmentation, and other analytical techniques to capture important trends in our data sets
• Interface with business customers, gathering requirements and delivering complete data products (datasets, visualization and more)
• Partner with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Python, Spark
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Continually improve ongoing reporting and analysis processes by automating or simplifying self-service support for customers.
• Participate in strategic & tactical planning discussions.

BASIC QUALIFICATIONS

• Bachelor's degree in engineering, mathematics, statistics, computer science, data science, finance, or a similar quantitative field
• 5+ years experience in Business Analytics, Data Science, or related field with proven quantitative results
• 5+ years experience using data warehouse solutions and databases (using tools such as SQL, PL/SQL, DDL, MDX, HiveSQL, SparkSQL, Scala, etc.)
• 3+ years experience using business intelligence reporting tools (such as Tableau, Alteryx, PowerBI, Business Objects, QlikView, Quicksight, MicroStrategy, etc.)
• Experience with statistical analytics and programming languages such as Python, R, etc
• Experience with data science programming languages (R, SAS, SPS)
• Experience working with business system requirements and building solutions
• Experience gathering/documenting business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
• Experience with ETL and databases in a business environment with large-scale, complex datasets

PREFERRED QUALIFICATIONS

• Master's degree in engineering, mathematics, statistics, computer science, data science, finance, or a similar quantitative field
• 7+ years experience in Business Analytics, Data Science, or related field with proven quantitative results
• Advanced experience using data warehouse solutions and databases (using tools such as SQL, PL/SQL, DDL, MDX, HiveSQL, SparkSQL, Scala, etc.)
• Advanced experience using business intelligence reporting tools (such as Tableau, Alteryx, PowerBI, Business Objects, QlikView, Quicksight, MicoStrategy, etc.)
• Advanced experience working with business system requirements and building solutions
• Advanced experience with statistical analysis
• Advanced experience with at least one programming language (such as Python, R, Java, C++, etc.)
• Experience with AWS technologies AWS solution stacks like Redshift, S3, Data Pipelines (Hammerstone), and Athena
• Experience installing and configuring Tableau Server
• Experience with SDLC and agile concepts
• Experience in Operations, Supply Chain, or Procurement
• Familiarity with computer hardware and global supply chains
• Strong financial acumen and analytics skills with a high degree of proficiency in data mining
• Strong controllership focus
• Excellent discretion, judgment, and executive presence
• Excellent written communication and presentation skills
• Creative and proactive problem solver
• Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions
• Ability to effective prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion
• Experience working with disparate data sources and turning them into a unified solution