business intelligence engineer, amazon resume
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The role requires effective communication with colleagues from computer science, operations research and business backgrounds, Advanced analytical skills and demonstrated ability to meet deadlines while managing multiple large scale projects in a fast-paced and rapidly changing environment, Comfortable dealing with ambiguity and a willingness to work with a high degree of autonomy, Professional background in Retail, E-commerce, or Consulting are preferred, Familiar with operation and finance metrics and business disciplines, Experience with AWS technologies including Redshift, RDS, S3, EMR, EML, Experience with statistical modeling and analyzing large data sets, Deliver ETL, Reporting and Analytic solutions using Microsoft SQL Server Business Intelligence tools, SAP Hana/Business Objects and Tableau, Design and develop data models to conform with our existing EDW architecture, Work with teams to deliver effective, high-value reporting solutions by leveraging an established delivery methodology, Development with one or more data visualization/reporting tools (Tableau, Business Objects, Hana Analytics, Microsoft PowerBI), Familiarity with SAP (CRM, APO, BW, BOXI), Writing analytics programs in R, Python or comparable, Work with various product owners to ensure applications are instrumented with proper tracking mechanisms to enable analytics, Juggle multiple complex projects, including a reporting and analytics track as a part of SAP CRM re-implementation in FY2017, Continually recommend, develop, and implement process improvements and tools to collect and analyze data, and visualize/present insights, Participate, and sometimes lead, development activities to build the internal Analytics infrastructure, Bachelor’s degree in Business, MIS or related area. ), Knowledge of logical and physical data modeling concepts, Knowledge in dimensional data modeling designs and techniques, Advanced knowledge of Data Warehouse/BI project lifecycle, tools, technologies, best practices, Strong skills to develop complex SQL queries (ex: using various joins and sub-queries) and stored procedures, Strong knowledge of how to create complex reports (ex: drill down reports) using cursors and multi-dimensional objects. Display Ads) or performance based advertising (e.g. The solutions created by these engineers assist in the analysis, automation, and reporting of both internal and external client data. A resume objective is suitable for an entry-level business intelligence analyst resume. (MBA or Masters preferred), Blackbelt Certification with strong evidence of performance and impact, Strong evidence of stretch assignments that are evidence of superior performance in previous roles, Interact with Engineers, Product Managers, Data Scientists and Business Analysts to understand data, reporting and analytical needs, Work with Business Analysts and Product Managers to translate information requests into meaningful and actionable reports and dashboards, Help analyze, visualize, and provide analytics on massive amounts of data captured daily to build reporting solutions to support various company initiatives, Validate BI solutions against requirements for consistency and accuracy, Evaluate emerging technologies in BI space and provide recommendations, Demonstrated experience with multiple full cycle BI implementations in a technical architect role, utilizing business analysis skills during an iterative development cycle, Strong data modeling skills (Normalized and Multidimensional for Data Marts, including Star Schema, Snow-Flake Modeling, Fact and Dimensional Modeling), Strong understanding of IBM DataStage/QualityStage, Strong understanding of COGNOS BI tools including Framework Manager, Transformer, Report Studio, Analysis Studio, Query Studio, and Metric Studio, NZ Analytics and Basic statistics -- crosstabs, significance testing and/or general linear modeling, Experience with Predictive, Web, and Text Analytics -- Omniture, Google Analytics, SPSS, SAS, R, Experience with Big Data tools (Hadoop, MapReduce), Researching and implementing machine learning algorithms, 5+ years of quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business, Experience using statistical software such as R, SAS, SPSS, Minitab, Advanced user of Excel or Tableau, able to manipulate data, write macros and create charts and pivot tables, Experience processing, filtering and presenting insights around large data sets (millions of rows), Experience working in a fast-paced, high tech environment (preferably software development), Experience working in or with a complex international supply chain management organization, Experience incubating and commercializing new ideas, working with product managers, research scientists and technical teams from concept generation through implementation, Experience building business intelligence solutions with the ability to, Must have a minimum five to seven years of experience in a business analytics position within an IT department, Must have a minimum three to five years developing data warehouse solutions to include DDL creation, source to target mapping, hands on ETL experience, and working knowledge of type 2 dimensions and incremental data loads, Must have a minimum three to five years of experience working with stored procedures, Must possess a strong understanding of relational data warehouse modeling to include star and snowflake schemas, Must understand modern reporting strategies including dashboard creation and actionable analytics, You will have a direct interaction with AWS businesses, finance, and other BI teams to translate their business requirements into technical specifications, Your work will have a direct impact on the day-to-day decision making and operational planning processes within the AWS Finance organization, Development of reporting, analytics and decision support to enable the AWS Finance org leaders and teams create accountability and mechanisms for revenue targets, operational efficiencies, manpower planning globally, etc, Microstrategy Developer with an expertise in creating projects, BI models and Cubes for Self-Service solutions, Tableau Developer with an expertise to create visualizations that provide business insights for our partners, Being one of the key builders of our BI Data Marts for supporting our Finance org and other Amazon Corporate organizations, Research Machine Learning algorithms and implement technical solutions tailored to individual finance team org and business needs, and tested on large datasets, Maintaining ETL processes related to BI Data Marts, Bachelor's degree in Computer Science, Information Systems, or related technical field, 3+ years proficiency with TABLEAU, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge, Experience using one or more programing languages Python, Ruby etc… programming languages, Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data, Advance/Master’s Degree in Computer Science, Information Systems, or related technical field, Experience with statistical analysis tools like ‘R’, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling, Experience in developing and deploying DataMart or data cube solutions, Comfort with ambiguity and a willingness to work with a high degree of autonomy. RUBY, HTML, PHP, Java, and AJAX) to allow internal teams (technology, product management, operations teams) to understand issues and identify actions to be taken to solve these issues, Bachelor's Degree in Engineering, Math, Statistics, Finance, Computer Science, Logistics/Transportation or related industry experience, Minimum five (5) years of experience data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift, Oracle, or other Big Data technologies, Minimum five (5) years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems, Experience with reporting and visualization tools such as OBIE and Tableau Ability to work in a deadline-driven work environment; ability to re-prioritize on a regular basis in order to remain current with business needs, Ability to influence others in a positive and professional manner, Master’s degree in Engineering or Math/Statistics/Finance or related discipline, Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases, Experience guiding and mentoring other data engineers and influencing large scale projects or organizations, Design and develop complex reports and dashboards, utilizing advanced components such as: advanced metrics, Free Form SQL, extensive knowledge/experience of graphs, Ability to tune reports for best SQL performance to run efficiently in a large data volume environment, Assist in architecture and migration of MicroStrategy schema objects, Assess new initiatives to determine the work effort and estimate the necessary time-to-completion, Document new development, procedures or test plans as needed, Participate in data builds and deployment efforts, Participate in projects through various phases, Minimal overnight travel (up to 10%) by land and/or air, Minimum 3 to 5 years’ experience in MicroStrategy 9x Desktop, Architect, Report Services – Dynamic Dashboards, Web, Intelligence Server, Narrowcast, OLAP Services and Office, Ability to coach and mentor others on the design, development, and usage of the MicroStrategy product suite, Must demonstrate a clear understanding of BI, Data Warehouse and Hadoop operating environments and related technologies, Understanding of major Hadoop distributions like Cloudera (preferred), HortonWorks, MapR, BigInsights, or Amazon EMR is desireable, Knowledge of developing within the Hadoop platform including Java, MapReduce, Hive, Pig, and Pig UDF, Must be passionate, flexible and innovative in utilizing all up to date available tool functionality, experience, and any other resources, to effectively deliver to very challenging and always changing business requirements with continuous success, Must be able to interface with various business units to understand the requirements and prepare documentation to support development, Must be capable of understanding the complex object design and the underlying data model of the system, as well as have a highly skilled attention to the business requirements details, Strong experience in data warehousing concepts and techniques (e.g.


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