• Analyze large healthcare datasets to identify trends, patterns, and actionable insights • Develop and maintain dashboards, scorecards, and key performance indicators (KPIs) • Extract, transform, and load (ETL) data from multiple systems into the enterprise data warehouse • Collaborate with clinical and operational teams to understand business needs and deliver reporting solutions • Perform data modeling, mapping, and visualization for quality improvement initiatives • Present findings and recommendations through clear, compelling visual and written communication • Support data governance, data quality, and performance improvement initiatives • Leverage benchmarking tools (e.g., Vizient and external datasets) to evaluate performance • Design and optimize SQL queries, tables, views, and stored procedures

• Develop and maintain reports, dashboards, scorecards, KPIs, and analytical models that support quality and performance improvement initiatives. • Analyze complex healthcare data from multiple sources, including the Enterprise Data Warehouse and clinical systems. • Create and manage SQL tables, views, stored procedures, and advanced queries to support reporting and analytics needs. • Monitor performance metrics, identify trends, and provide actionable insights to support leadership decision-making. • Gather and evaluate benchmarking data from Vizient, public reporting sites, and other industry resources. • Support quality improvement initiatives through data analysis, statistical evaluation, and performance measurement. • Collaborate with physicians, nursing leaders, quality teams, and operational stakeholders to communicate findings and recommend opportunities for improvement. • Maintain and enhance quality, risk, regulatory, and patient safety databases and reporting systems. • Participate in data governance, metadata management, and enterprise data initiatives. • Utilize Lean methodologies and performance improvement tools to help optimize processes and outcomes.

• Work on and contribute to a variety of validation activities such as model design, execution, assessment, data review and campaign/marketing performance evaluation. • Utilize statistical and digital analytics tools including Python, R, SQL, Tableau, Micro strategy, Adobe analytics, Google analytics, and DMP insight tools and statistical techniques including regression, ANOVA, cluster analysis, and factor analysis. • Conduct time-series forecasting to drive and execute data analysis and manage timely delivery of marketing data/reporting and analytics insights in support of marketing campaigns • Conduct quantitative marketing analyses of marketing effectiveness and build XG Boost or Machine Learning models to segment customer population • Generate and manipulate digital data using systems and processes including media type web, ad, email, and mobile • Develop, write, and present a variety of strategic marketing analytics recommendations and projects including customer profiling, lifecycle analysis, campaign test design, dashboard reporting, and customer segmentation. • Use the findings in the data to tell a story with actionable recommendations for the client • Develop Tableau Or Looker dashboards by identifying key KPIs • Develop simple PowerPoint presentations with key findings.

Role Description To create comprehensive reporting and analysis of statistical data; to monitor data for processing and procedures issues; and to support performance initiative by providing technical support and training to colleagues. - Compiles data; prepares and distributes reports; and analyzes results. - Assists in efficient and effective program management; identifies poor work quality and cost effectiveness trends; and works with appropriate staff in analyzing and compiling data from technical reviews, as applicable. - Provides training and coaching on processing and procedures issues. - Provides analysis and reporting of trends. - Ensures data integrity; develops and produces reports utilized in measuring data accuracy. - May assist in the completion of appropriate client set-up and maintenance (parameter) forms. - Extracts data and analyzes information based on plan and jurisdictional requirements. - Gathers and prepares statistical data for reporting; makes recommendations to management for training needs. - May analyze data for cause and effect ratios, return-to-work and accommodations trending, disability durations, injury by job type analysis, disability diagnosis trending, etc. - Presents results to client and/or management. Qualifications - Bachelor's degree with major in Computer Science, Finance or Economics from an accredited college or university preferred. - Six (6) years of related experience or equivalent combination of education and experience required. - Three (3) years of query and report writing strongly preferred. - Thorough knowledge of query and report writing. - Excellent oral and written communication, including presentation skills. - PC literate, including Microsoft Office products. - Analytical and interpretive skills. - Strong organizational skills. - Excellent interpersonal skills. - Ability to work in a team environment. - Ability to meet or exceed Performance Competencies. Requirements - Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion. - Ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. - Computer keyboarding, travel as required. - Hearing, vision and talking. Benefits - Comprehensive benefits package including medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits.