Data Analyst (UX) - Remote

Remote Data AnalystResponsible for extracting, integrating analyzing, and interpreting data from internal and external data sources, to develop intelligence packaging that draws conclusions and supports recommendations that will help to achieve business goals. Collaborate with Business Analytics team and key business stakeholders to ensure critical business objectives are met by following the analytics lifecycle within assigned domains. Work cross-functionally with business stakeholders to identify risk and provide solutions that drive data-enabled decisions.Responsibilities:Participate in data analysis activities of the member experience data strategy aligned to the goals set by the design teams and leadership.Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the Member Experience Team.Profile and prepare data for analysis.Analyze and interpret data using internal and external data sources, including research, channel utilization, feature utilization, process measurements, member profile and segmentation, financial and operational.Interpret results, identify key findings to quantify business value.Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.Manage multiple projects simultaneously, meeting aggressive timeframes.Participate in workshops to define the measurements and analytics needs for the assigned member experience products used by internal and external stakeholders.Contribute to the creation of channel economics, operational costs analysis, experience/feature measurements and investment value performance for the member experience team.Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.Develop measurement packages/output in collaboration with technology and analytics teams to benchmark performance and recommend opportunities for further member experience optimization efforts.Partner with analytics and technology teams to determine appropriate analysis and measurement techniques through the use of data mining, statistical analysis, modeling, and other advanced analytics.Other duties as assigned.