Senior Healthcare Data Analyst Position
1 week ago
The goal of this role is to produce high-quality data models that are maximally available and intuitive to stakeholders. This will be achieved by using data engineering best practices, interfacing with business customers, gathering requirements, and developing new datasets in the data platform.
Responsibilities:- Use data engineering best practices to produce high-quality data models which are maximally available data models.
- Scope and implement new entities for unified data model.
- Interfacing with business customers, gathering requirements and developing new datasets in data platform.
- Identifying the data quality issues to address them immediately to provide great user experience.
- Extracting and combining data from various heterogeneous data sources.
- Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets.
- Modelling data and metadata to support machine learning and AI.
- Support integration efforts from acquisitions as necessary.
- Bachelor's degree required in computer science, information technology, or related field.
- Masters degree in healthcare-related field is preferred.
- Strong understanding of database structures, theories, principles, and practices.
- Working knowledge with programming or scripting languages such as Python, Spark, and SQL.
- Demonstrated track record executing best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, deployment processes, testing, and operations.
- Familiarity with normalized, dimensional, star schema and snowflake schematic models.
- Healthcare domain and data experience.
- Working experience with Databricks preferred.
- Databricks/Microsoft Azure Certification is a plus.
- Strong written and oral communication skills.
- You're naturally curious.
- You want to know what the data means, and how it will be used upstream.
- You proactively identify issues and lean in to improve data quality for common use cases.
- 4+ years of experience working with diverse healthcare data sources, for example, claims, encounters, ADT data, FHIR, EHR data etc.
- 5 to 8 years using cloud-based services from Azure is a must In which Minimum 2 years of healthcare experience is required.
- 2+ years serving data sets to both BI tools and SE applications.
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