Remote Information Management Analyst – Data Quality & SAS

ICES: Data, Discovery, Better Health; Toronto; On-site; CAD 65,000 - 75,000; Full time

Benefits offered by this job

Flexible remote work in Ontario

Competitive Compensation

Comprehensive Benefits Program

HOOPP Pension Plan (Defined Pension)

Employee Assistance Program

Dialogue Well Being Program

Generous vacation, float and caregiver

Education Fund and Dedicated Education

Holiday Closure

Perkopolis Employee Discount Program

Job summary

ICES is seeking an Information Management Analyst to join the Data Quality and Information Management (DQIM) department. The role focuses on importing and maintaining large health datasets within a SAS/Linux environment, ensuring data integrity, confidentiality, and compliance with privacy policies.

You will encode direct identifiers, prepare data for the ICES data environment, and develop SAS programs to convert administrative and study data into usable datasets, coordinating with data partners

Qualifications

• Bachelor’s degree in computer science, biostatistics, or related field.
• 3 years of related work experience.
• Proficiency in SAS programming for data manipulation.
• Familiarity with Linux and data privacy concepts.
• Knowledge of data security practices.

Responsibilities

• Perform data cleaning, validation, and documentation.
• Encode identifiers and manage data in SAS/Linux environment.
• Develop and run SAS programs to convert data into datasets.
• Collaborate with teams and external partners to resolve data issues.
• Communicate status updates and risks to stakeholders.

Skills

SAS programming

Linux

Data governance

Privacy compliance

SQL knowledge

Python knowledge

Communication

Team collaboration

Organizational skills

Education

Bachelors degree in CS/biostatistics

Tools

SAS

Linux

SQL

Python

Job description

ICES is seeking an Information Management Analyst to join the Data Quality and Information Management (DQIM) department. The role focuses on importing and maintaining large health datasets within a SAS/Linux environment, ensuring data integrity, confidentiality, and compliance with privacy policies.

You will encode direct identifiers, prepare data for the ICES data environment, and develop SAS programs to convert administrative and study data into usable datasets, coordinating with data partners