Basic Qualifications: 3+ years of relevant experience as a BI Engineer, Data Engineer, Business Analyst or similar roleBachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent work experienceExperience with gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics, and build reportsExperience writing high-quality SQL queries to retrieve and analyze data from database tablesWorking experience building dashboards and visualizations with BI reporting tools like Tableau, QuicksightExperience using quantitative methods to evaluate product/system/service performanceDemonstrated ability to communicate effectively across stakeholder groupsJob Summary: The Amazon Robotics Global Safety and Support (GSS) Team is responsible for providing technical support to internal fulfillment and transportation network customers that rely on advanced robotics technology to fulfill and ship customer orders. In this role on the ETS team, you will work directly with hardware engineers, operations managers, and support technicians working within the Amazon Robotics and Advanced Technology organizations.
Key Job Responsibilities: Own the design, development, and maintenance of scalable solutions for metric monitoring, reports, analyses, dashboards, etc. to support analytical and business needs. Own the creation of key process metrics.Manage and execute projects from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.Build automated data solutions and dashboards to enable teams to self-service data needs.Write queries to pull data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready.Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation.Use statistical techniques, data mining and/or machine learning to create new, scalable analysis for business problems.Design and drive experiments to form actionable recommendations. Present recommendations and drive decisions.Interact with internal stakeholders to lead business reviews and deep dive analyses.Identify process and system improvement opportunities by monitoring existing metrics, analyzing data, and partnering with internal and operational teams.10% travel expected.Preferred Qualifications: 5+ years of experience in a BI Engineer, Data Engineer, Business Analyst or similar role with a technology company.Master's degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science.Knowledge of AWS Services and products (e.g. S3, Redshift, Athena, RDS).Experience coding with scripting languages (R or Python) to do basic data manipulation and mathematical computations.Experience with data modeling, data warehousing, and building ETL pipelines.Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes.Excellent written and oral communications skills with the ability to communicate findings effectively with both technical and non-technical stakeholders.Experience with data science and machine learning methods.Previous experience in data engineering, applied statistics, system engineering or operations engineering.
#J-18808-Ljbffr
