The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. This is an expert level professional role, considered a subject matter expert with in-depth knowledge/expertise in their own domain/field of specialty and working knowledge of broader related areas. Requires expert level conceptual and practical knowledge for their area of specialty and knowledge of broader related areas. Possesses advanced analytical and problem-solving skills and is fluent in one or two programming languages. Works autonomously on a range of tasks and may be relied upon to coach/educate others. Leads projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs. Has in-depth experience working with very large datasets and familiarity with big data technologies. Keeps abreast of rapid business and technology innovation within the business information management field and is familiar with visualization tools. Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes. Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.). May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists. Supports data modeling capabilities in order to structure business data to be consumed/translated into a variety of novel capacities. Supports business teams in the use and understanding of the data and reporting solutions. Develops data roadmaps/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data. Drives data-centric solution development focusing on complex data integration. Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups. Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience/design considerations, etc.) to enable development of information management solutions.
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Job Type
Full-time
Career Level
Senior
Education Level
Associate degree