Senior Analyst

Alberta Health Services; Calgary; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A healthcare organization in Alberta is seeking a Senior Analyst for Emergency Department Medicine to develop and maintain robust data infrastructure. This role involves delivering advanced analytics to support decision-making and driving improvements in patient care through innovative solutions like simulation modeling and machine learning. The ideal candidate has extensive experience in healthcare analytics, data warehousing, and is proficient in SQL and Tableau. This is a full-time position with a focus on proactive, data-driven approaches in clinical settings.

Qualifications

• Minimum 8 years of experience with healthcare analytics.
• Hands-on experience with Snowflake for data warehousing.
• Proficient in developing interactive dashboards using Tableau.

Responsibilities

• Develop and maintain advanced data infrastructure for ED Medicine.
• Deliver insights supporting clinical and operational decisions.
• Integrate analytics into front-line everyday clinical practice.

Skills

Healthcare analytics

Data warehousing

ETL processes

SQL

Machine learning

Statistical analysis

Tableau

Education

Master’s degree in health informatics, Data Science, Statistics, or related field

Tools

Snowflake cloud data platform

Tableau

Job description

Your Opportunity

As the Senior Analyst, Emergency Department (ED) Medicine, you will play a pivotal role in transforming how data informs care across one of the most dynamic environments in the health system. This is your opportunity to build and maintain advanced data infrastructure, lead innovative analytics, and directly influence clinical, operational, and strategic decision‑making within ED Medicine. In this role, you will ensure compliance with government reporting requirements and deliver high‑value insights that support physicians, leaders, and care teams. You’ll apply your deep understanding of health‑system operations to develop cutting‑edge analytical solutions—including simulation modeling and machine learning applications—that enhance patient flow, improve outcomes, and elevate the patient and provider experience. You will be a key contributor to our strategic shift from reactive reporting to proactive, integrated analytics. By anticipating needs and embedding data into everyday clinical practice, you will help front‑line teams deliver safer, more efficient, and more effective care. If you excel at solving complex problems, communicating insights to diverse audiences, and developing creative analytical approaches where no precedent exists, this role offers you a unique opportunity to shape the future of emergency care through data-driven innovation.

Description

The Senior Analyst for Emergency Department (ED) Medicine is responsible for developing and maintaining robust data infrastructure and delivering advanced analytics to support clinical, operational, and strategic decision‑making. This role ensures compliance with mandatory government reporting requirements, provides actionable insights for ED physicians, and drives improvements in patient experience and outcomes through data‑driven approaches, including simulation modeling. The Senior Analyst applies comprehensive knowledge of the health system and operational areas to novel and advanced analysis designed to translate data and information to actual decisions for our care providers and managers. The incumbent understands the perspective of our front‑line care teams and develops machine learning models and applications to improve these teams’ ability to deliver quality, efficient care. The Senior Analyst advances Data & Analytics’ agenda of moving from responding to identified needs (reactive approach) towards anticipating and integrating analytics into front line everyday use (proactive approach). The Senior Analyst develops and implements creative, advanced analytic approaches to address complex questions, sometimes where no precedent has been set. They are skilled in organizing and presenting complex information to stakeholders with analytic experience ranging from minimal to extensive and tailoring their communication to meet the needs of the decision maker, from front‑line managers to senior executives or external audiences (government, universities, etc.).

• Transition Company: Health Shared Services
• Classification: Senior Analyst
• Union: Exempt
• Unit and Program: Emergency Department Analytics, Data and Analytics
• Primary Location: Southport Tower
• Location Details: Eligible to work remotely within Alberta
• Negotiable Location: Provincial
• Employee Class: Regular Full Time
• FTE: 1.00
• Posting End Date: 19-FEB-2026
• Date Available: 23-MAR-2026
• Hours per Shift: 7.75
• Length of Shift in weeks: 2
• Shifts per cycle: 10
• Shift Pattern: Days
• Days Off: Saturday/Sunday
• Minimum Salary: $37.82
• Maximum Salary: $64.86
• Vehicle Requirement: Driver's License, Vehicle Required

Required Qualifications

Master’s degree in health informatics, Data Science, Statistics, Economics or related field.

Additional Required Qualifications

Minimum 8 years with healthcare analytics. Proven experience with data warehousing, ETL processes, and BI tools. Working with spreadsheets, databases and tools for querying, integrating, analyzing, interpreting, reporting and disseminating data. Statistical analysis of complex and large datasets, including segmentation, advanced multivariate and longitudinal modeling, and forecasting. Hands‑on experience with Snowflake cloud data platform for data warehousing and analytics. Proficient in designing, developing, and optimizing SQL queries within Snowflake. Developed and maintained data pipelines to ingest, transform, and load data into Snowflake using ETL tools and cloud services. Integrated Snowflake with third‑party tools (e.g., Tableau) for advanced analytics and reporting. Proficient in developing interactive dashboards and visualizations using Tableau for data‑driven decision‑making. Demonstrated capability applying ‘big data’ analytic techniques such as data mining, machine learning, statistical modeling, etc. Knowledge of simulation modeling tools (e.g., AnyLogic, Simul8). Proven strong analytical and problem‑solving skills. Comprehensive understanding of health systems.

Preferred Qualifications

As Required.