Business Intelligence Analyst

January 3, 2024
Application ends: February 29, 2024
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Job Description

JOB DESCRIPTIONS

1.     Utilize Python Data Science tools to analyze and model large datasets, extracting meaningful insights.

2.     Develop and implement predictive models to support business decision-making.

3.     Design and develop visually compelling and interactive Power BI dashboards and reports.

4.     Create data visualizations that effectively communicate complex information to diverse stakeholders.

5.     Apply expertise in healthcare data regulations and ensure compliance with HIPAA standards.

6.     Implement security measures and data anonymization techniques to protect sensitive health information.

7.     Collaborate with cross-functional teams, including IT, data engineers, and business stakeholders, to understand data requirements and deliver effective BI solutions.

8.     Establish and enforce data governance policies to maintain data accuracy, integrity, and security.

9.     Work closely with legal and compliance teams to ensure adherence to privacy and data protection regulations.

10.  Create comprehensive documentation for data models, ETL processes, and BI solutions to facilitate knowledge transfer and ensure scalability.

11.  Stay abreast of industry trends, emerging technologies, and best practices in business intelligence and healthcare analytics.

12.  Propose and implement improvements to existing BI processes and tools.

QUALITY AND REQUIREMENTS

1.     Bachelor’s degree in a related field (Data Science, Business Analytics or Computer Science, etc.).

2.     Proven experience as a Business Intelligence Analyst with a focus on Python Data Science and Power BI.

3.     In-depth knowledge of HIPAA compliance requirements and experience working on healthcare-related projects.

4.     Proficiency in Python programming and data science libraries (e.g., Pandas, NumPy, Scikit-learn).

5.     Strong expertise in Power BI development, including DAX.

6.     Familiarity with ETL processes, data warehousing, and data modeling.

7.     Excellent communication and collaboration skills.