14 meilleures offres (data analyst, waterdown, on) (à pourvoir)

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BUSINESS SYSTEMS ANALYST (I)
McMaster University —Hamilton, ON
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Inventory Analyst - Burlington
Gerrie Electric Wholesale LTD —Burlington, ON
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il y a 8 jours
Salesforce QA & Data Analyst Co-Op
Semtech —Burlington, ON
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Analyst, Insights and Pipeline Management
Canadian Cancer Society —Hamilton, ON
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il y a 4 jours
Educational Research Analyst
McMaster University —Hamilton, ON
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Analyst, Project Management
Opta Group —Burlington, ON
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PeopleSoft HCM Business (Functional) Analyst (Contract)
Spyre Solutions Inc. —Oakville, ON
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Statistical Analyst (I)
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Statistical Analyst (I)

McMaster University -
Hamilton, ON

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Détails du poste

Temps partiel | Temps plein | Contrat à durée déterminée
De 34,99 $ à 49,20 $ de l’heure
Il y a 1 jour

Profil recherché

Statistique
SAS
Recherche
Maîtrise
Python

Description complète du poste

Job ID

77282

Job Title

Statistical Analyst (I)

Regular/Temporary

Regular

Location

HSC- Central Campus

Open Date

2026/07/16

Job Type

Limited Term (>12 months)

Close Date

2026/07/23

Employee Group

Unifor Unit 1, Staff

Favorite Job

Department

FHS Health Evidence and Impact

Full/Part Time

Full-Time

Salary Grade/Band

Grade 9

Salary Range

$34.99 - $49.20 (hourly)

Job Code

JD0400

Existing Vacancy

Yes - Newly Created Position

Contract Duration

20.2 Months

Target Number of Openings

Hours per Week

Posting Details

Schedule

8:30am to 4:30pm, Monday to Friday

Education Level

Master's degree in Statistics or related field of study

Career Level

Requires 2 years of relevant experience

JD Number

JD 0400

Anticipated Start Date

As soon as possible

Job Description

Should the successful applicant be a Unifor Unit 1 bargaining unit member, who meets the eligibility conditions of Article 19.02 of the Unifor Unit 1 Collective Agreement, then the Limited Term Assignment will be defined as a Career Growth Opportunity in accordance with Article 19 of the Unifor Local 5555 Unit 1 Collective Agreement.

Unit Description:

OnSPARK is a health data platform that supports the advancement of quality improvement and innovation across the long-term care (LTC) sector in Ontario. Working closely with health system, government and academic partners, OnSPARK securely integrates and curates real-world data from LTC homes to enable high-impact, evidence-informed research and decision-making.

We are seeking a Statistical Analyst (I) to support the ongoing enhancement of the OnSPARK Data Platform by contributing to the modernization of clinical data integration and analytic workflows. Reporting to the Platform Co-Leads and working in collaboration with senior Platform staff, this role will assist with the automation and standardization of data integration processes to help ensure data form multiple sources are consistently and reliably ingested, transformed and prepared for analysis.

Key responsibilities include executing and maintaining data integration processes, supporting the replication of existing SAS-based programs within updated workflows, performing parallel validation checks to confirm alignment with existing outputs. The role assists in documenting data manipulations and clinical rules to improve transparency, auditability, and re-use of platform datasets. The role will help develop and maintain version-controlled data pipelines that support routine reporting needs and enable future analytical enhancements.

Job Summary:

Responsible for the application of routine and moderately complex statistical and technical skills toward the collection, analysis, and translation of statistical data for a variety of research projects. Conducts statistical research and analysis and compiles and interprets statistical records and reports for a variety of research projects. Works under general supervision and uses discretion to resolve various problems and inquiries. Specific instruction is usually given and work is reviewed at frequent milestones.

Duties and Responsibilities:

Apply established statistical methods and techniques to analyze and interpret data.
Identify the appropriate method of statistical analysis and apply statistical techniques to interpret data.
Compile and analyze data and interpret trends, fluctuations, and other changes that may emerge.
Develop forms and procedures required for the collection and compilation of data.
Devise and implement administrative procedures for the collection of data.
Oversee the design and maintenance of databases, data collection forms, error checking methods, and related programs for collection, analysis, and reporting.
Design database specifications and modify existing software packages to meet specific research project needs.
Document new designs, codes, and modifications.
Develop test cases and test system upgrades and enhancements.
Write sections of scientific papers, funding proposals, grants, and abstracts.
Identify and resolve database and software problems.
Conduct data audits, compile results, analyze and summarize audit findings.
Coordinate and manage the collection, delivery, entry, verification, analysis, and reporting of data.
Provide advice regarding data collection and analysis required for research projects.
Recommend modifications to processes related to data collection and data entry conventions and develop implementation plans.
Apply specialized knowledge and scientific principles to review, critically appraise and interpret published literature.
Research pertinent literature in a designed project area and analyze the applicability of the concepts.
Review case report forms, determine possible protocol deviations, discrepant data, and inconsistent reporting.
Facilitate meetings and prepare recommendations on statistical and reporting strategies.
Exchange information with colleagues and statistical experts.
Explain statistical approaches to others who do not have the equivalent knowledge in statistical methods.
Develop and deliver presentations and training sessions.
Safeguard the confidentiality of study data.

Supervision:

Provide direction to others in how to carry out work tasks

Qualifications:

Master’s degree in Statistics or related field of study.

Assets:

Familiarity with PHIPA, secure environments supporting clinical or high-integrity data, and with data governance frameworks.
Familiarity with the long-term care sector and health services research.
Knowledge of MLOps, model lifecycle management, and production of AI/ML systems.
Proficiency in Python and SAS coding is considered a strong asset, particularly for automated data integration.
Ability to balance Platform stability with innovation, including AI/ML enablement.'

Additional Information:

The team operates primarily in a remote environment with a hybrid component. While most work can be completed remotely, in-person meetings or events are held on campus as needed, without a fixed schedule.

How To Apply

To apply for this job, please submit your application online.

Employment Equity Statement

McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.

The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.

The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from indigenous (First Nations, Métis or Inuit) peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+.

As part of McMaster’s commitment, all applicants are invited to complete a confidential Applicant Diversity Survey through the online application submission process. The Survey questionnaire requests voluntary self-identification in relation to equity-seeking groups that have historically faced and continue to face barriers in employment. Please refer to the Applicant Diversity Survey - Statement of Collection for additional information.

Job applicants requiring accommodation to participate in the hiring process should contact:

Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), or
Faculty of Health Sciences HR Office at ext. 22207, or
School of Graduate Studies at ext. 23679

to communicate accommodation needs.

Interview Experience

At McMaster University, we believe in a comprehensive and inclusive interview process. Our interview methods encompass a variety of approaches that allow our hiring teams to provide a flexible and accessible experience for engaging with our candidates. Throughout your recruitment process at McMaster, you may be requested to participate in a variety of formats, that may include in-person, virtual or recorded interviews. If you have any questions as you move through the hiring process, please reach out to [email protected] or the HR contact associated with your position of interest.

AI Statement

McMaster and its third-party partners may use AI tools to screen, assess, or select applicants during the hiring process. Please note that currently our recruitment platform does not use AI nor is it part of our current recommended recruitment process.

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