Staff Business Systems Analyst - Data | Remote Location, United States

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You may just be the right candidate for this or other roles. B.S. or M.S. preferably in Computer Science or equivalent technical degree. Relevant certifications in product management, machine learning, data science, and other disciplines would be a plus Pricing - understanding of multi product offering pricing. Pricing of insurance products a plus Data transformation and transformation across systems Business process transformation Customer modeling for example CLTV Highly prefer experience digitizing processes and workflows through creation of new software tools and platforms with functionality that supports migration of work to the new, digitally-enabled workflow Highly prefer experience designing data architecture, structure, and orchestrating supporting systems to generate new types of data that reflect business activities and outcomes along the new digital workflow; e.g., tracking the evolution of pricing from the beginning to the end of an insurance underwriting (price to risk) process Applications: Salesforce, Oracle EDW, AWS (or other EDWs and cloud systems) Minimum of 8 years of experience in a major services organization, with large-scale data management efforts and oversight experience. Ability to communicate with employees at all levels of the organization Knowledge of industry leading data analysis and requirements practices Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data policies A demonstrated commitment to high professional ethical standards and a diverse workplace Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities Experience or knowledge of the Informatica Tools; specifically, EDC, Axon and DPM preferred, but not required Demonstrated ability to develop relationships to get decisions done WORK ENVIRONMENT/OTHER INFORMATION (Travel required, physical requirements, on-call schedules, etc.) Create, document and manage business data dictionaries and glossaries. Create, document, and manage business conceptual data artifacts, such as conceptual models, critical data element inventory, and define the data based on business usage Manage data requirements elicitation, analysis, and documentation processes to capture business needs. Manage and understand business process efforts that take data in, manipulate the data through business rules and produce data outputs. Manage multiple requirements gathering efforts at one time and be able to assimilate into cohesive end to end data requirements when there is data overlap. Communicate effectively with business partners to inform and influence important decisions required regarding strategic data direction. Promote data governance and architecture Serve as a liaison between Business and Functional areas and technology to ensure that data related business requirements are created for all other policies and standards that apply to data such as privacy, security, and risk, Assist Governance Team in capturing metrics that provide insights into effectiveness of data analysis and requirements. Rationalize and coordinate external data sources to eliminate redundancy and streamline the expense related to those services Identify and aggregate internal and external data sources Coordinate with data owners/stewards to ensure appropriate data accessibility and quality Work alongside Product and Engineering teams to ensure technical designs meet the data requirements. Work as part of an Agile system by writing JIRA stories and funneling work into appropriate Engineering teams, acting as the liaison between the business and Engineering through delivery. Perform root cause analysis to determine root cause of data issues and provide recommendations for remediation. 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