Senior Data Analyst Team Lead – Healthcare

The Senior Data Analyst Team Lead is a highly experienced data professional responsible for managing a team of data analysts, overseeing data analysis projects, ensuring data quality, and translating complex data insights into actionable recommendations for key business decisions, while also providing mentorship and guidance to analysts on the team.

About Us

Founded in 2004 as the Alberta Bone and Joint Health Institute and continued today as the Institute for Improved Health Outcomes (IIHO), we are committed to transforming health care by providing reliable information, optimizing processes, and supporting continuous improvement to ultimately elevate the quality of health care for all.

At IIHO, we specialize in harnessing data and evidence to drive improvements in health care. With deep expertise collaborating across health systems and networks, we guide clinical practices, shape policy decisions, advance research initiatives, and promote knowledge exchange to improve patient outcomes.

Why Work Here

• At IIHO, we specialize in harnessing data and evidence to drive improvements in health care. With deep expertise collaborating across health systems and networks, we guide clinical practices, shape policy decisions, advance research initiatives, and promote knowledge exchange to improve patient outcomes.
• You will help analyze data to discover opportunities to improve, monitor changes in performance, and detect sub-optimal outcomes.
• You will use leading technologies and advanced analytics to tell the compelling stories hidden within the data.
  You will use data in new ways. Your work will help improve the lives of Albertans by finding the dots and helping to connect them.
• Immerse yourself in the data and help us make new discoveries to improve the lives of patients across the province.

What you Will Do

Team Leadership:

• Manage and mentor a team of data analysts; assign tasks, review work, and provide performance feedback.
• Foster a collaborative work environment within the team and promote knowledge sharing and professional development.
• Recruit and onboard new data analysts.

Data Analysis and Insights:

• Lead complex data analysis projects, identifying key trends and patterns within large datasets using advanced analytical techniques.
• Develop and implement data analysis frameworks to ensure consistency and efficiency.
• Translate data insights into actionable recommendations for business decision-making, communicating findings clearly to stakeholders at various levels.

Data Quality and Governance:

• Establish and enforce data quality standards, identify and resolve data inconsistencies, and detect analytic errors.
• Monitor data pipelines and data integrity, ensuring accurate data collection and processing.
• Develop and implement data governance policies to maintain data quality and compliance.

Project Management:

• Define project scope, timelines, and deliverables for data analysis projects.
• Prioritize tasks and manage project execution to meet deadlines.
• Track project progress and identify potential risks, proactively addressing issues.

Stakeholder Management:

• Collaborate closely with cross-functional teams across the organization to understand business needs and identify relevant data analysis requirements.
• Develop requirements and analysis plans using input from non-technical end-users.
• Present data insights and recommendations to key stakeholders in a clear and concise manner.
• Communicate effectively with technical and non-technical stakeholders.

Required Skills and Experience:

Technical Skills:

• Ability to design and execute statistical analyses for projects, ad-hoc requests and research studies with minimal supervision.
• Strong proficiency in SQL, Python, and data visualization tools (Power BI, Tableau, or similar products)
• Strong proficiency with advanced analytical methods such as multivariable linear and logistical regression, survival analysis, etc.
• Must have experience with large relational databases.
• Experience with data warehousing and data lake technologies

Analytical Skills:

• Ability to extract meaningful insights from complex datasets.
• Critical thinking and problem-solving skills to identify root causes and develop solutions.
• Ability to independently design and oversee others in developing analysis plans while ensuring quality control of analytic outputs.

Leadership Skills:

• Proven ability to lead and mentor a team of data analysts.
• Ability to communicate and present results effectively and to convey complex data insights to non-technical audiences.

Education and Experience:

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Health Sciences, Epidemiology).
• 5+ years of experience in data analysis, with significant experience in a leadership role.

Desirable Skills and Experience:

• Robust understanding of the public health care system in Canada, with special emphasis on Alberta.
• Experience working with large administrative datasets, especially health care data (hospital discharge abstract, ambulatory care, physician claims, pharmacy, lab, diagnostic imaging, etc.).
• Experience working with unstructured or semi-structured data.
• Strong grasp of stimulation modelling techniques (discrete event, Monte Carlo, system dynamics etc.