Job Description

Job Title: Healthcare Data Business Analyst

Experience: 10 years

Location: Hybrid (Morris Plains, NJ)

Educational Qualifications:

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc

What is in it for you?
As a Healthcare Data Business Analyst with expertise in claims analytics and Neo4j, you will join an Agile team to build healthcare applications and implement innovative features while adhering to the best coding and development standards.

Key Responsibilities:

Claims Analytics:

• Analyze healthcare claims data to uncover trends, patterns, and insights for operational and strategic decision-making.
• Identify opportunities to optimize claims processing, reduce costs, and improve patient outcomes.

Knowledge Graph Implementation:

• Design and implement knowledge graphs to represent relationships between entities such as providers, payers, patients, and claims for advanced data exploration.
• Integrate knowledge graphs with Databricks pipelines for real-time and batch data analysis.
• Collaborate with data engineering teams to ensure efficient data transformation and ingestion for knowledge graph workflows.

Data Management and Integration:

• Extract and process large volumes of healthcare data from Databricks and other cloud platforms, ensuring accuracy and compliance with HIPAA and other regulations.
• Develop and maintain data models that unify structured and unstructured datasets into cohesive analytics frameworks.

Visualization and Reporting:

• Build and maintain interactive dashboards and visualizations using Tableau, Power BI, or Python libraries to communicate insights effectively.
• Provide stakeholders with reports and visual narratives highlighting critical KPIs, trends, and actionable insights.

Stakeholder Collaboration:

• Collaborate with business leaders, data scientists, and IT teams to define requirements and deliver data-driven solutions for claims analytics use cases.
• Serve as a subject matter expert on healthcare claims data, guiding stakeholders on data interpretation and usage.

Required Skills and Qualifications:

Technical Skills:

• Strong expertise in healthcare claims analytics and knowledge of payer-provider data workflows.
• Proficiency with Databricks, SQL, and data pipeline design.
• Experience with knowledge graph technologies such as Neo4j, TigerGraph, or GraphQL.
• Advanced skills in data visualization tools like Tableau, Power BI, or similar platforms.
• Proficiency in Python or R for data processing and visualization.

Analytical Skills:

• Ability to interpret complex healthcare data and derive actionable insights.
• Experience with machine learning or advanced analytics (preferred).

Soft Skills:

• Excellent communication skills for conveying technical findings to non-technical stakeholders.
• Strong problem-solving skills with a proactive approach to resolving issues.

Preferred Qualifications:

• Certification in healthcare data analytics or related fields.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Knowledge of advanced graph database techniques and ontology development.

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