- Manage and optimize data processes including intake, validation, mining, engineering, modeling, visualization, and communication deliverables.
- Interpret and communicate analytical results to stakeholders across leadership, operations, and IT.
- Implement quality controls and departmental standards to ensure data integrity and regulatory compliance.
- Collaborate with team members to identify and fulfill data requirements for Business Intelligence (BI) needs.
- Develop, modify, and maintain reports, dashboards, visualizations, and other BI tools to support decision-making.
- Lead cross-functional projects utilizing advanced data modeling and analysis techniques.
- Provide documentation and user support for BI tools produced.
- Execute ad-hoc queries and reporting from SQL and other databases.
- Collaborate with stakeholders and IT to streamline and automate intra-departmental data-related processes.
- Establish processes and database structures for secure and high-quality data collection and storage.
- Manage the creation, maintenance, and updates of departmental data sets.
- Identify opportunities to integrate business data across departments for new insights.
- Generate standard and ad-hoc analysis for business presentations and marketing material.
- Stay updated on the latest software developments.
- Build and maintain data models, reporting systems, automation systems, dashboards, and performance metrics.
- Design technical processes to address business challenges.
- Oversee the design and delivery of reports and insights analyzing business functions and performance metrics.
- Ensure accuracy of data and deliverables, implementing comprehensive policies and processes.
- Supervise the data/report requests process.
- Drive successful completion of data-driven initiatives through effective management and collaboration.
- Perform other assigned tasks as necessary.
- Bachelor's degree in business, economics, mathematics, computer science, or another quantitative field required.
- An additional four (4) years of relevant experience may substitute for a bachelor's degree. Master's degree preferred.
- Six (6) years of progressively responsible experience in data analysis and analytics in a business environment required.
- Strong problem-solving, quantitative, and analytical skills.
- Working knowledge of data mining principles including predictive analytics, mapping, and data collection from multiple data systems.
- Experience in business reporting, analysis, economic or market research, forecasting, statistical and data analysis.
- Experience in the healthcare industry preferred.
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