Data Science Analyst
About The Position
Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
Requirements
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
