Senior Data Analyst - 2369558
Role details
Job location
Tech stack
Job description
DUTIES:Manage and manipulate data to build business intelligence tools, conduct analysis to recognize trends, create specifications to bring data into a common structure; create product specifications and models; develop data solutions to support analyses, perform analysis, interpret results, develop actionable insights and present recommendations for use across the company; partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization; produce and manage the delivery of activity and value analytics to external stakeholders and clients; use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data; create and update automated dashboards containing key operational metrics and lead a process to provide meaningful insights on a recurring basis to varying appeals leadership personnel; perform ad-hoc analyses on healthcare data, financial objectives, automation and cost-benefit initiatives, and operational staffing impacts; front end visualization of existing reports and manual dashboards performing QA and UAT of health risk data; provide operational or subject matter expertise to train others on program or process components; conduct oversight and monitoring of HRA program CMS compliance standards; responsible to maintain all requirements for the annual data validation audit response file; maintain data integrity in the HRA DataMart ensuring all CMS and Stars performance measure are optimized. Telecommuting is available from anywhere in the U.S.
Requirements
REQUIREMENTS:Employer will accept a Master's degree in Computer Science, Applied Computer Science, or a related field and 24 months of experience in job offered or a data analyst-related occupation. Experience must include: *Tableau or Power BI; *Predictive and prescriptive analytics; *SQL; *SSIS; *Alteryx; *ETL frameworks; *Complex Data modeling; *Strategic decision support; *Statistical Modeling; *Excel Advance; *Azure; and *Snowflake