Data Science Analyst

Responsibilities

• Ability to analyze complex data sets and create actionable insights
• Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
• Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
• Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
• Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
• Performs validation and testing to confirm the accuracy of the information created
• Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
• Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
• Facilitate the design and development of product features
• Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
• Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
• Present on-time delivery of requirements and user stories/specifications
• Support the creation and maintenance of project documentation
• Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications

• Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
• 2+ years of experience working in Data Science
• Professional experience with, and more than a basic understanding of AI technology
• Proficient in building process flow diagrams and data mapping
• Experience with agile development and software development life cycle (SDLC) processes
• Proficiency with SQL programming
• Extensive experience working in a BI environment and familiarity with data warehouses
• Extensive experience in gathering and documenting business requirements
• Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
• Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
• Excellent written and verbal communication skills