Description: The Data Analytics Lead is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise. They supervise the Data Analytics team and help to build reporting and systems to provide hospital leadership with accurate and timely reporting.

Responsibilities

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.
• Collaborates with and manages data analysts to optimize models and algorithms for data quality, security, and governance.
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems.
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed.
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency.
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance.
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance.
• Works with executives to establish the vision for managing data as a business asset.
• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making.
• Builds reports for all business units of the hospital and maintains reports and dashboards to ensure information is accurate and up to date.
• Builds program for and manages Data Governance efforts.

• At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Proven project experience developing and maintaining data warehouses in big data solutions.
• Experience with programming languages such as SQL, Python, and R for data manipulation and analysis Preferred.
• Project experience with data analysis and visualization tools like Tableau, Power BI, Excel, or others.
• At least 5 years in Healthcare work experience