Health Data Analyst Jobs

About The Position

Requirements

• 3 years of experience as a Data or Business Analyst, preferably in the healthcare industry, with a focus on data management and analytics.
• Bachelor’s degree in Information Systems, Data Analytics, Computer Science, or related field
• Proficiency in Power BI, Microsoft SQL Server, and Structured Query Language (SQL).
• Expertise in creating data representations such as charts, graphs, and infographics.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical users.
• Ability to work independently and collaboratively in a virtual environment.
• Strong curiosity and desire to learn new skills and technologies.
• Ability to work with large datasets and see the bigger picture.
• Familiarity with data warehouse models, data dictionaries, and best practices for leveraging large datasets.
• Knowledge of data security best practices and healthcare industry standards for reporting.
• Ability to analyze large datasets, spot trends, and transform data into actionable insights.
• Expertise in documenting technical solutions, creating clear reports, and supporting maintenance efforts.
• Capable of supporting and supervising technology projects, ensuring features are developed, tested, and implemented in production environments.
• Familiarity with healthcare data, regulations, and reporting requirements.

Nice To Haves

• Experience in the healthcare industry.
• Experience with Azure Data Factory.

Responsibilities

• Create and edit visual content, including maps, charts, and graphs, to present data.
• Develop scalable reporting features.
• Become fluent in data warehouse models.
• Analyze functional needs, design and develop software solutions.
• Ensure adherence to security policies and quality assurance best practices.
• Meet deadlines, test code, and document technical designs.
• Collaborate effectively with users and business analysts to translate requirements into technical solutions.
• Support and supervise technology projects in production environments.
• Develop and optimize ETL services using tools like Azure Data Factory.
• Leverage large datasets effectively.
• Support maintenance efforts.
• Identify areas for improvement in reporting processes and make data-driven recommendations.

Benefits

• Upward Health Benefits