Job Description

• Strong skills in accessing and using analytical tools (Excel, Databases, SQL).
• Relevant experience in business intelligence or business analyst role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
• Advanced analytical skills and detail-oriented, while also seeing and understanding the big picture.
• Demonstrated ability to meet deadlines while managing multiple projects.
• Excellent communication and presentation skills working with multiple peer groups and different levels of management.
• Positive thinking, creativity, fun on the job.

Job summary Alexa Automotive is looking for a smart and ambitious individual (2 Openings) to develop and support business intelligence, operations reporting and management systems. Alexa Automotive is a start-up mentality, rapidly growing area for Amazon that gives the candidate an enormous opportunity to build and influence the data sets that drive customer experience, design and implementation of cutting-edge Alexa Automotive solutions that will be used every day by people you know. As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key job responsibilities You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You will also have the opportunity to display your skills in the following areas: • Consult with Product, Marketing, and Finance teams to identify data need to analyze key business decisions. • Own the development and maintenance of operational reports for weekly, monthly, annual business reviews. • Interface directly with the customer to determine core data report needs, process improvement and roadmaps moving forward. • Own the implementation of self-service analytics capabilities for stakeholders. (e.g. Tableau dashboards) • Ad hoc analysis of developer and customer engagement • Collaborate with Data Engineers and Software Engineers to implement the data architecture and design.
• 4+ years of professional experience as a Business Intelligence Engineer / Data Engineer • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for Business Intelligence analytics. • Gather business and functional requirements and translate them into robust, scaleable, operable solutions that work well within the overall data architecture. • Implement data structures using best practices in data modeling, ETL/ELT process and SQL. • Provide on-line reporting and analysis using Business Intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. • Analyze source data systems and drive best practices in source teams. • Use full life practices from design, implementation and testing, to documentation, delivery, support and maintenance. • Produce comprehensive, usable dataset documentation and metadata. • Data Warehousing Experience with Oracle, Redshift, Teradata, etc. • Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) • Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets • Evaluate and make decisions around dataset implementations and the use of new or existing software products and tools.