Job description

Scope of Work: · Work for the Business Operations team under the IT Project Management Office (PMO) to provide data analysis related services for the Exchange. · Integrate, work with, pilot, and implement solutions across various technologies, databases, and data structures. · Communicate with MHBE IT team, business team, vendor team and other stakeholders to translate business needs into data sets and solutions. · Coordinate with technical and operational teams to prepare and integrate multiple data sets in various formats to provide insight into Exchange operations. · Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources. · Coordinate with the development team, business operations team and the testing team to analyze, fix, test and pull data sets as needed to address operational needs. · Analyze processes, associated data sources and data to provide contextual understanding of business goals, inputs, and outputs. Using this understanding, develop process intelligence, transactional, and business intelligence solutions · Additional duties may include business process development, EDI error analysis, solution architecture, statistical analysis, dashboard development, query analysis, troubleshooting, data architecture, and documentation. Required: · Bachelor’s degree Computer Science, Information Systems, Physics, Mathematics, Statistics, Engineering, or equivalent. · A minimum of four (4) years of relevant professional experience in data analysis and business intelligence. · A minimum of four (4) years of experience in developing and working with Advanced SQL, ETL and Data Warehousing. · Experience in developing of data visualizations. · Basic experience in programming (R, Python, Java, Javascript, etc.) · Experience working with, preparing, and integrating various types of data structures – flat, relational, hierarchical, graph, etc. · Strong knowledge and experience with data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, reporting/analytic tools and environments, data structures, data modeling, and performance tuning. · Experience leveraging and orchestrating the collection and functional integration/manipulation of data with various application programming interfaces (APIs). · Experience with establishing and maintaining reporting databases, data warehouses, and analysis systems. · Knowledge of Business Process Modeling Notation and Business Process Management techniques. · Ability to effectively communicate with both business and technical teams. Desired: · Healthcare background and/or experience working with and analyzing timestamped transactional data. · Knowledge and/or experience working with IBM Informatica, Talend, AbInitio, Pentaho and/or other model driven application development platforms. · Knowledge and/or experience working with Big Data (Hadoop, etc.) and non-traditional data management and analysis. · Knowledge of Data Science Concepts · Knowledge and/or experience with Machine Learning Algorithms and Analysis. · Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data Studio). · Knowledge and/or experience working with Hive and the Hadoop ecosystem · Experience in quality assurance and quality control of a large-scale Healthcare System. · Knowledge and/or experience implementing and working with the Data Management Body of Knowledge (DMBOK). · Experience working with PMO processes, policies and procedures. All your information will be kept confidential according to EEO guidelines.

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sqlpythonjavajavascriptmachine learning

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