As a data analyst within Analytic Solutions, you will be responsible for data management throughout the organization. You will utilize industry standard database languages, data-marshalling tools, and other data management applications to create, configure, maintain, and enhance data solutions that facilitate machine learning systems, data mining analytic services, communications platforms, and other internal and external systems. Ideal candidates will possess hands-on experience with Healthcare industry data and systems, familiarity with common issues and concerns around data transformation, be willing to quickly learn new tools and techniques, and be able to work in a fast-paced environment with team members dedicated to ensuring the highest level of quality in solution delivery.
Key responsibilities include:
Acquiring, validating, standardizing, and warehousing incoming client data in all forms and frequencies, from membership information to wearable device data, long cycle to near real time
Creating and maintaining the environment and processes that govern this data
Facilitating in-depth data discussions with clients and data vendors, as well as internal customers
Partnering with internal and external customer teams to ensure the continuity and consistency of our client deliverables
Analyzing and critically thinking about data issues, then developing and executing a plan to resolve them
Review and contribute to documentation knowledge base
Maintaining knowledge of the latest industry tools and best practices
4-year degree or equivalent experience in a computer science and/or data engineering discipline. An equivalent degree in mathematics, statistics, or a Healthcare data-related discipline with demonstrated programming experience is also acceptable.
1+ years of hands-on experience within a Healthcare industry setting, including such responsibilities as:
Data requirements gathering
Data acquisition and validation techniques
Data preservation, integrity, traceability, and transparency.
Fluency in database or data analysis language is strongly preferred; fluency in another programming language with demonstrated competency in programming concepts is acceptable.
Demonstrated ability to self-direct, work, and lead with minimal supervision
Additional consideration will be given to candidates who express an interest or have experience in ETL system design
Experience working with large data sets
Experience working with Healthcare data in all forms
Excellent verbal and written communication skills
Excellent team collaboration skills
Ability to accurately determine data quality and define best programming practices as it relates to Healthcare data
Familiarity with data transfer methods (e.g. FTP, SFTP, FTPS) and Encryption methods (e.g. PGP, GPG. ASC)
Creative problem solving.
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