A globally renown e-commerce and cloud computing company is looking for a data-savvy professional to create, report on, and monitor business and operations metrics. The company has culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable. This role will help scope, influence, and evaluate process improvements, and will contribute to the company's success by enabling data-driven decision making that will impact the customer experience.
The successful candidate will possess a strong passion for analytics, setting high standards, accuracy and staying ahead of a dynamic and fast growing business. 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. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
‐Bachelor's degree in Economics, Business, Engineering, Statistics, Computer Science, Mathematics or related field
‐Advanced SQL skills, with experience querying extremely large datasets from multiple sources and developing automated reporting
‐Advanced Excel experience analyzing data and creating daily/weekly/monthly reports, including knowledge of vlookups, graphs, and linked data
‐Experience working experience as a business analyst, business intelligence engineer, or equivalent
‐Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
‐Capable of investigating, familiarizing and mastering new data sets quickly
‐Experience developing ETL/ELT solutions within a Data Warehouse environment
‐Good working knowledge of Oracle environment and Data warehousing concepts
‐Experience with one or more ETL tools (e.g. Informatica) and one or more BI Reporting tools (e.g. OBIEE)
‐Master's degree in Economics, Business, Engineering, Statistics, Computer Science, Mathematics or related field
‐Experience with Redshift and Tableau