{bc}
indeed

Lead

Alberta Health Services
Calgary, CAN
Full-time
Onsite
Discovered 2 days ago
Healthcare analyticsCancer surveillanceSQLPythonRStatistical analysis and modeling

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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