Lead
Role Overview
The Senior Analyst works in the Surveillance & Reporting team within Cancer Advanced Analytics, Data & Analytics.
The role supports cancer surveillance, healthcare operations, program evaluation, operational planning, service improvement, and strategic decision-making across Alberta.
The analyst serves as a senior technical resource and leads complex analytics projects using large and diverse healthcare datasets.
Key Skills for This Role
Full Job Posting
Role overview
The Senior Analyst works in the Surveillance & Reporting team within Cancer Advanced Analytics, Data & Analytics.
The role supports cancer surveillance, healthcare operations, program evaluation, operational planning, service improvement, and strategic decision-making across Alberta.
The analyst serves as a senior technical resource and leads complex analytics projects using large and diverse healthcare datasets.
Responsibilities
- Identify appropriate analytical methodologies, interpret results, and provide actionable recommendations.
- Design and implement scalable analytical solutions using data extraction, transformation, statistical analysis, and modeling.
- Collaborate with operational stakeholders, clinicians, researchers, and technical teams to define challenges and analytical approaches.
- Communicate findings to technical and non-technical audiences.
- Maintain data quality, analytical rigor, reproducibility, and compliance with data governance and privacy requirements.
Data and analytical methods
- Data sources include the Alberta Cancer Registry, electronic medical record databases, administrative health datasets, and other clinical and operational sources.
- Tools include SQL, Python, R, and modern cloud-based analytics platforms.
- Advanced methods include statistical modeling, predictive analytics, machine learning, and artificial intelligence.
- Large-scale data platforms, cloud analytics environments, and modern data warehousing technologies such as Snowflake are relevant.
Required qualifications
- Master's degree in Statistics, Data Science, or a related quantitative field; equivalent combinations of education, training, and experience may be considered.
- Five or more years in healthcare analytics, data science, business intelligence, epidemiology, or a related analytical field.
- Advanced SQL experience with large, complex datasets; strong Python and/or R programming for analysis, data manipulation, automation, and model development.
- Experience with advanced analytical methods, multiple-source data integration, and large-scale or cloud data platforms.
- Strong communication and presentation skills; ability to lead complex projects independently and manage multiple priorities.
- Demonstrated expertise in advanced statistical methods and analytical techniques.
Work arrangement
- Eligible to work in a hybrid arrangement, on or off site, within Alberta.
Employment and schedule
- Regular full-time employee class, 1.00 FTE.
- Day shifts; 7.75 hours per shift, 10 shifts per two-week cycle, with Saturday and Sunday off.
- Posting lists a minimum salary of $38.73 and a maximum of $66.42 without specifying a pay period.
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