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Business Data Analyst
Global Soft SystemsUnited States🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Business Data Analyst
REMOTE
- Agile Need to be able to create stories, lead refinement, etc., utilizing ADO Board
- Data Mastering understand mastering and survivorship, data stewardship, integration with source systems
- Cloud technologies understand Profisee, Snowflake, Azure, and ADF from an analyst perspective
- Health care knowledge Needs to understand Member, Eligibility, and Claims
- Handle unknowns Given a portion of the necessary information, collaborate and communicate to obtain and document the rest of the story.
- Coordinate with Architects and Developers to ensure information is transferred correctly and the technical design meets the requirements gathered.
- Prior Data Lake is a plus A basic understanding of multiple zones that include raw data, cleansed data, and transformed data.
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.
- Leads backlog grooming, refinement, and planning meetings.
- Presents documentation of business rules, data needs, technical documentation, and data models.
- 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.
- Create data models based on the data solution decisions and conceptual models in collaboration with the data architect and developer.
- Leads decisions and discussions with business/stakeholders and cross functional/technical team collaboration.
- Own data model decision and design in collaboration with the data architect and developer.
- 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.
- Competent in Mastering and Surviving Data in Profisee MDM.
- 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.
Skills
Snowflake
Agile
Azure
REST
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