sr data operations analyst.

integrity, and usability of the data but also ensure appropriate data types, trimming, cleaning,
scrubbing, and conforming data in preparation for analysis and reporting.

How You will Contribute:
 Apply data quality management principles in multi-functional settings specifically
across the administrative and financial information supply chain as well as clinical
progression of care.
 Aggregates data and aid in data cleaning and management.
 Uses data quality tools to proactively identify data integrity issues.
 Resolve data quality/integrity issues
 Collaborate with team members to innovate and provide support to business users
including advocating for excellence in quality and customer service, increased
automation and efficiency, and proactive business process improvements.
 Performs data and process validations for recurring and ad hoc data loads and
analytics for internal and external customers.
 Conducts analyses of large data sets and produces reports utilizing tools such as
SQL, R, and the Microsoft Suite for use in team meetings, presentations, and
customer deliverables.
 Develop tools, metrics, reports, and analyses to drive key business decisions.
 Contribute to the test planning and execution of new and existing software
applications, and/or dashboards.
 Documents entire analysis process, including business problems, data sources,
methods and tools utilized to complete projects/tasks
 Assists internal and external users in resolving operational issues.
 Provides insight and feedback for new technology and upcoming industry standards.

What You will Bring:
 Total Exp over 5yeard2+ years’ experience in one or more of the following: Health Care Finance, Health
Care Compliance and/or General Health Plan Operations, Health Care
Analytics/Reporting, Programming
 Experience with data cleansing, transformation, validation, and monitoring
 Ability to define problems, collect data, establish facts, and draw valid conclusions.
 Great communication skills with technical and non-technical teams
 Experience in Healthcare / Government Programs fields is strongly preferred.
 Ability to read, analyze and interpret technical procedures and deal with several
abstract and concrete variables.
 Ability to translate business needs into technical requirements
 Working knowledge with data visualization tools such as Tableau, PowerBI, Sigma
Computing
 Experience in database design and programming concepts, including relational
databases (PostgreSQL, MySQL, MS SQL Server, Oracle).
 Experience in SQL and object-oriented/function scripting languages such as python,
java, or equivalent
 Bachelor’s degree in Computer Science, Software Engineering, Statistics, Applied
Mathematics, Business Administration or closely related field; or related experience
and/or training; or equivalent combination of education and experience.