Working at MIT offers opportunities, an environment, a culture - and benefits - that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future - then take a look at this opportunity.
DATA ENGINEER , Office of the Vice President for Finance (VPF)-Controllership , to participate in the full life cycle of business intelligence platform development, including design, coding, testing, and production support. Will implement innovative data solutions and maintain MIT financial data used for reporting and analytics; support VPF staff in its strategic, financial, and operational analytical needs; and work as a team member/lead on projects spanning a broad range of data-focused applications.
REQUIRED : bachelor's degree (master's preferred); five years' experience building databases, data marts, or data warehouses with structured querying language (SQL) across multiple platforms, preferably Microsoft, Oracle, PostgreSQL, and MySQL; three years' experience in or supporting financial/accounting functions; experience with ETL software, preferably Talend, Pentaho, SQL Server Integration Services (SSIS), and Informatica; experience with online analytical processing (OLAP) and visualization and reporting software, preferably SQL SSAS and SSRS, Tableau, Cognos, and BusinessObjects; advanced-level experience with Excel including modeling and PowerPivot and Visual Basic for Applications; experience with SAP or equivalent enterprise resource planning system; experience with data profiling, data quality, and master data management; detail orientation; ability to work independently and as part of a team; excellent interpersonal, communication, and problem-identification and -solving skills; and ability to collaborate with a diverse group of colleagues from varying backgrounds and meet deadlines in a busy, changing environment. PREFERRED : Data Management Association and/or Data Warehousing Institute membership; SQL, Visual Basic, and Java programming experience; knowledge of statistical tools (e.g., R, Python, SAS, SPSS); and experience with Agile methodology data governance and data vault design, SAP or similar accounting and reporting systems, and higher education or nonprofit accounting. Job #18069-8
Internal Number: 18069
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