Job Description

Nodin Mental Health Services is seeking a Data Analyst & Quality Improvement Lead to support the organization in planning, maintaining data quality standards, managing data reporting, and conducting in-depth analysis to guide decision-making. The successful candidate will work closely with senior management, quality improvement teams, and external partners to enhance data processes, support performance measurement, and implement new data management systems. This role is critical in ensuring accurate and reliable data that informs organizational strategies and funding accountability.





The Data Analyst & Quality Improvement Lead is responsible for streamlining information flow, improving data quality, and developing data-driven tools and reports to assist senior management in making informed decisions. This role collaborates with the Health Information and IT teams to enhance reporting efficiency, conduct community needs assessments, and improve data collection processes.





Key Responsibilities:





Data Quality and Integrity:




• Serve as the subject matter expert in data integrity, ensuring accuracy and reliability of data.
• Identify and address data quality issues, implementing corrective and preventative actions.
• Establish and implement data standardization protocols and training materials to ensure accurate data entry.
• Develop standard operating procedures (SOPs) for data cleaning and validation processes.
• Investigate root causes of data discrepancies and lead initiatives to improve data consistency.





Data Reporting and Analysis:




• Extract, analyze, and interpret data for funders, stakeholders, and internal decision-making.
• Provide reports on organizational performance metrics and community needs assessments.
• Develop tools and reports that support informed decision-making for senior management.
• Generate statistics and analytics to support quality improvement initiatives.
• Work with decision support specialists to align reporting structures with organizational needs.





Implementation of New Systems and Process Improvements:




• Lead the implementation of new data management software (e.g., CRM, EMR systems).
• Work with IT and HIT teams to configure databases, manage data transfer, and improve system functionality.
• Develop change management strategies to enhance data collection, storage, and reporting processes.
• Train and support management and staff on new data systems, reports, and statistical analysis methods.





Collaboration and Capacity Building:




• Partner with quality improvement teams to develop performance measurement indicators.
• Work with Nodin MHS staff and other departments to ensure seamless data integration.
• Represent the Director by independently gathering necessary data from management teams.
• Provide independent support for departmental data improvement projects and best practice adoption.
• Collaborate with external organizations to ensure compliance with data sharing agreements.





Compliance and Confidentiality:




• Handle sensitive and confidential information in strict compliance with regulations (PIPEDA/PHIPA).
• Ensure data governance best practices are followed.
• Work with the SLFNHA Finance Department to provide timely and accurate data for funder reports.
• Maintain policies and procedures for data quality management.





Qualifications and Skills:





Education and Experience:




• University degree in Business Administration, Statistics, Health or Social Sciences, Information Management, or a related discipline.
• Minimum of three (3) years of experience in a health or social services research environment, with a focus on planning and data management.
• Project Management certificate or coursework is considered an asset.
• Knowledge Translation and Mobilization certificate is an asset.
• Experience with EMR systems, data reporting, and statistical analysis is preferred.





Technical Skills:




• Expertise in data quality management and clinical information management best practices.
• Experience with change management related to implementing new data systems (CRM, EMR).
• Strong applied knowledge of EMR systems, including data entry and extraction.
• Proficiency in Microsoft Excel (intermediate level required), Word, PowerPoint, Outlook, and Power BI.
• Experience working with report-writing or statistical analysis tools such as SSRS, SPSS, SSIS, SSAS, or Crystal Reports is an asset.





Knowledge and Analytical Abilities:




• Understanding of mental health care systems and collaborative approaches to service delivery.
• Knowledge of multi-agency funding environments and reporting requirements.
• Excellent analytical skills, with the ability to interpret complex datasets and identify trends.





Communication and Interpersonal Skills:




• Strong written and verbal communication skills.
• Effective at presenting data and reports to a diverse audience.
• Ability to communicate technical data concepts to non-technical stakeholders.





Organizational and Adaptability Skills:




• Excellent organizational skills with strong attention to detail.
• Ability to function effectively in a fast-paced and changing environment.





Additional Considerations:




• Knowledge of First Nations' people, history, culture, health priorities, and social issues is an asset.
• Ability to communicate in one of the First Nations dialects of the Sioux Lookout region is an asset.
• Must be willing to travel as required.
• Must be able to perform all job-related duties as required.