Senior Data Partner ( Lead Analyst) with Healthcare Industry Expertise - Seattle, Washington, United States, 98101

Viri Technology is recruiting a Senior Data Analyst Consultant for a FULL TIME role with a respected Seattle healthcare organization. IN this role, you will assist the Director with Collecting, processing, analyzing, compiling, and presenting data to help answer business questions and solve business problems. Apply statistics and mathematical techniques to create wide range of analyses. Translate numbers into plain english and visualizations that can be better used to understand the business. The Senior Data Analyst will effectively solve analytic problems using more complex analyses including forecasting, scenario analysis, experimental design, and linear programming using both programmatic and automatic methods. Their solutions are imaginative, practical and consistent with organizational objectives. They are an internal resource for their area of specialty. Minimum Qualifications Bachelorrsquos degree in statistics, mathematics, information systems, computer science, finance, information management, economics or similar quantitative area or the equivalent of four (4) years work experience in field. Five (5) yearsrsquo experience in applying quantitative analytics tools, methods and processes, data architecture, database design, data transformation and data management and which includes three yearsrsquo experience with SQL, python, VBA or other scripting languages and associated data analytics software tools. Preferred Qualifications Masterrsquos degree in quantitative science field. Experience with advanced analytics and tools. Experience using a variety of data and data formats. For digital analytics team, experience with site optimization including AB testing, multi-variate testing, andor experience with Search Engine Optimization. Working knowledge of health insurance industry. Knowledge, Skills and Abilities Technical expertise creating data models, database design, data mining and segmentation. Strong knowledge and experience with reporting packages, databases and programming. Advanced knowledge of statistics and mathematical methods and experience using statistical packages for analyzing datasets. Strong analytical skills with ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, reporting and presenting findings using variety of data visualizations. Excellent verbal, written, and presentation communication skills. Excellent planning, prioritization and organizational skills. Ability to apply practical data modeling to build data products. Strong understanding of statistics and mathematical methods. Additional Job Description YOU will work on fast and streaming data to enable analytics and data science which allows for the creation of nearly instantaneous personalization opportunities and highly informed decisions. You will have opportunity to work creatively with new tools and technologies (Attunity Replicate, DataStage 11.7, APIs, Hadoop Ecosystem, SQL NoSQL databases) as the healthcare industry continues to expand into more innovative spaces. You will analyze Tier 1time sensitive data to be sure we are sending quality data and that we are compliant. What yoursquoll do Consult with internal and external business customers to access scope and complexity of projects Design, develop, and implement analytics, operational reporting, scorecards, dashboards, and trend analysis to support internal and external business customers Develop data reports, statistical models and analytics for management using visualization and statistics to understand and solve complex business problems Analyze and interpret results using statistical tools and techniques to pinpoint trends and patterns in complex data Troubleshoot issues as they arise and independently solve problems Prepare documentation on all projects to enable peer review and ensure continuity of data product quality Share knowledge of analytics and data in area of specialty Automate reported analytic products on large data sets Search and review industry andor academic literature and identify appropriate quantitative methodologies What yoursquoll bring Bachelorrsquos degree in statistics, mathematics, information systems, computer science, finance, information management, economics or similar quantitative area or the equivalent of four (4) yearsrsquo work experience in field Five (5) yearsrsquo experience in applying quantitative analytics tools, methods and processes, data architecture, database design, data transformation and data management and which includes three yearsrsquo experience with SQL, Python, or other scripting languages and associated data analytics software too - Experience with Advanced analytics and tools ndash Dataiku would be nice to have Using a variety of data and data formats ndash JSON, CSV would be a plus Transforming HL7 and X12 messages to structured data format Tableau reporting Working knowledge of health insurance industry is preferred Technical expertise creating data models, database design, data mining and segmentation Strong knowledge and experience with reporting packages, databases and programming Knowledge of statistics and mathematical methods and experience using statistical packages for analyzing datasets