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A leading recruiting firm is seeking a skilled Data Analyst to support transformative projects in healthcare. This remote position involves data extraction, database design, and process improvement, making a significant impact on patient care. Candidates should have a relevant degree and experience in data management and analysis.
Data Analyst - Organizational Change and Transformation
About Us
We are a leading recruiting firm specializing in connecting top talent with outstanding career opportunities. Our client, a major organization within a complex sector, is seeking a highly skilled Data Analyst with extensive experience in data extraction, database design, and process improvement. This is a unique opportunity to support transformative projects that make a significant impact.
Position : Data Analyst - Organizational Change and Transformation
Location : REMOTE
Type : Full-time
Project Summary
Our client leads the planning and coordination of patient-centred clinical and preventive health services across the region. The organization also delivers some region-wide health services and supports centralized administrative and business functions for health organizations.
With over [number] interdisciplinary employees delivering clinical, preventive, and administrative shared services in partnership with over [number] local, regional, and provincial health service delivery organizations in urban, rural, and remote locations, our client aims to provide patients with the best health care and outcomes. This is achieved through partnerships with health organizations, educational institutions, and clinical experts to plan and deliver evidence-based, innovative, and sustainable models of care accessible close to home.
The Provincial Health System Transformation project is the largest change to the provincial healthcare system in a generation, focusing on improving patient care and strategic health system alignment through coordinated planning and integration of health services. The project also emphasizes delivering centralized business functions to support care delivery across provincial health organizations, requiring proven leadership and broad jurisdictional experience.
Education and Certifications :
Skills and Experience :
Data Extraction and Transformation :
Requirement : X years of experience building large ad-hoc and scheduled data extractions using Microsoft SQL Server Integration Services (SSIS) and Microsoft SQL Server Management Studio (SSMS). Provide detailed examples of methods and techniques used to create extractions from structured and non-structured data, including project durations, totaling at least X years. Examples should include reporting, executive reporting, dashboards, and transformations.
Database Design and Implementation :
Requirement : X years designing and implementing physical database structures, data stores, and data marts based on logical data models. Provide examples with project durations, totaling at least X years.
Process Improvement :
Requirement : X years in identifying, designing, and implementing process improvements, including automation and data pipeline optimization. Provide examples with project durations, totaling at least X years.
Programming and Scripting :
Requirement : X years using programming and scripting languages (e.g., Python, T-SQL) for data extraction and analysis. Provide detailed examples with project durations, totaling at least X years.
Priority Management :
Requirement : X years managing priorities in fast-paced environments. Include examples of methods used to handle changing priorities, meet deadlines, and resolve conflicts, with project durations totaling at least X years.
Business Requirements Elicitation :
Requirement : X years eliciting and documenting business requirements and workflows. Provide detailed examples with project durations, totaling at least X years.
Application Instructions :
Interested candidates should submit their resume, proof of degree, and detailed project examples as specified.
Equal Opportunity Employer :
We value diversity and do not discriminate based on race, religion, gender, age, disability, or other protected classes. Employment decisions are based on qualifications, merit, and business needs.
We look forward to connecting with professionals eager to make a significant impact through data analysis and organizational change.