Business Data Analyst (Healthcare Insurance, Data Warehousing & Analytics)

We are looking to hire someone with Health insurance experience with eligibility and claims, data warehousing, analytics and data analysis. A preferable would be if they have experience with Kimball data models.

Health insurance experience with eligibility and claims, data warehousing, analytics and data analysis. Experience with Kimball data models.

Here is the job desc: The Business Data Analyst will be responsible for identifying a problem statement, gathering requirements, identifying the proper data solution, and documenting the decisions to supports business stakeholders. The Business Data Analyst will be responsible for working across teams recommending standards and processes. This role supports data development and maintenance efforts of the Data & Analytics activities and initiatives in alignment with the Enterprise Data strategy, policies, and organizational goals.

Duties and Responsibilities

• Reviews, analyzes, and creates detailed documentation of business rules and data needs.
• Coordinates discussions with business/stakeholders and cross functional/technical teams to capture and review use cases, requirements, and other technical documents to ensure all business requirements are accurately reflected and accounted for (including data lineage and transformations).
• Collaborates with developers and architects to define and document the data solution to meet needs outlined in the business rules and needs.
• Responsible for obtaining business/stakeholder approval, which passes audit scrutiny, for data solutions delivered in a production state.
• Documents data ingestion, transformation, and consumption including workflows, data models, data classification, and steps required to curate trusted data.
• Responsible for ensuring all documentation reflects the current state and outstanding issues so that business requirements reflect proper state of data.
• Support the cloud data framework that aligns with the Enterprise Data Strategy, policies, and organizational goals.
• Ensures that the delivered data and processes fulfill the documented business rules and data needs.
• Ensure that all items follow company change management process.
• Presents documentation of business rules, data needs, technical documentation, and data models.
• Champions department standards for documentation and ensures that all assigned projects meet compliance and can withstand audit scrutiny.
• Peer Reviews documentation of business rules, data needs, technical documentation, and data models.
• Leads discussions with business/stakeholders and cross functional/technical team collaboration.
• Provides guidance in QA work when requested so the appropriate level of testing is planned and executed.
• Maintains a calm and composed demeanor and brings disparate viewpoints to a place of mutual understanding through skilled negotiation and diplomacy. Maintains a neutral viewpoint when collaborating with customers yet understands when their SME-level knowledge is appropriate to interject into the conversation.
• Other duties as assigned.

Knowledge, Skills, and Abilities

• Requires 5-8 years of relevant technical or business work experience with demonstrated experience within healthcare industry or data and analytics.
• Bachelor’s degree in computer science, information systems, healthcare administration, mathematics, or a related field or comparable experience. Additional years of qualifying work experience may be considered in lieu of formal education.
• Advanced data query skills
• Competent in Microsoft Azure Data tools and Snowflake Technologies.
• Experience gathering business rules and requirements.
• Experience collaborating with stakeholders in an official approval process as part of a development life cycle.
• Background and experience in Data Analysis, Data Profiling, Data Transformation and Data Reporting.
• Experience problem solving and root cause analysis.
• Understanding of CI/CD Pipelines
• Experience leading collaborative work in a team environment.
• SME level knowledge of healthcare industry (insurance preferred) as well as SME level knowledge of data warehousing or analytics.

Preferred Qualifications:

Preferred fundamentals certification in Azure, Snowflake, Databricks, or comparable cloud platform or technology.