IT-Data Analyst 2
Middleburg Heights, Ohio, United States
You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel), apply appropriate analytics (BI tools, Azure ML) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product owners, data scientists, data engineers, and business analysts to ensure clear definition of all requirements, translating them to user stories & use cases informing product development. This will typically be done via Scrum. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our next gen platform. We use Sisense for visualization, Snowflake for data management & sharing, and Azure ML for predictive modeling. Open to remote employees ONLY in: OH, PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC
Responsibilities:
- Ability to analyze complex big data and create actionable insight
- 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
- Conduct stakeholder interviews to gather business requirements convert these to the documentation for development teams
- Conduct & lead User Acceptance Testing to elicit feedback from various stakeholders
- 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
- Split business requirements into thorough, detailed, developer-focused specifications with acceptance criteria and detailed requirements
- Work closely with product owners, data scientists, data engineers to ensure clear definition of all requirements, translating them to user stories and use cases
Qualifications:
- Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
- 2+ years of experience working as an IT Data Analyst
- Proficient in building process flow diagram 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Big Data Data analysis Data management Data quality Excel Machine Learning Predictive modeling Scrum SDLC Snowflake SQL Statistics Testing
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