What are the responsibilities and job description for the director, project management, fulltime position at Ellit Group?
Director, Business Intelligence and Data Analytics
A remote position to shape and build your practice line.
About Ellit Groups
We are a woman- and minority-founded company dedicated to improving patients' lives through high-quality, high-value solutions. Our mission is to drive innovation and deliver impactful solutions that redefine how care is delivered in the industry.
The Role
The Director of Business Intelligence and Data Analytics shapes the strategic vision, execution, and continuous optimization of data-driven solutions designed to empower decision-making within healthcare organizations.
Key Responsibilities:
- Strategic Leadership: Define and execute the overarching strategy for data analytics and business intelligence initiatives, ensuring alignment with organizational objectives and industry best practices.
- Data Governance: Establish and maintain robust data governance frameworks to ensure accuracy, security, and compliance with regulatory requirements.
- Scalable Data Solutions: Oversee the design, development, and implementation of scalable data solutions to support business needs and enhance decision-making processes.
- Stakeholder Collaboration: Work closely with executives, department leads, and cross-functional teams to identify analytics needs, prioritize initiatives, and deliver impactful insights.
- Performance Metrics: Monitor and evaluate key performance indicators (KPIs) to assess the effectiveness of analytics strategies and identify opportunities for continuous improvement.
Requirements
- Bachelor's degree in Data Analytics, Computer Science, Statistics, Business Administration, or a related field.
- Proven experience (10 years) in business intelligence and data analytics, with at least 5 years in a leadership role.
- Demonstrated ability to develop and execute data strategies that align with organizational goals.
- Strong understanding of data architecture principles, data modeling, and ETL (extract, transform, load) processes.
- Expertise in data analysis tools (e.g., Power BI, Tableau, SQL, Python), database management systems, and data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Microsoft Azure Synapse).
