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City of Winnipeg

Senior Quality Improvement Analyst

Winnipeg, MB, Canada

Salary: $78,340.67 to $105,227.49 Annually per the WAPSO 4 classification · Full-time

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Job details

Pay: Salary: $78,340.67 to $105,227.49 Annually per the WAPSO 4 classification
Job type: Full-time
Apply by: Nov 17, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

Recruitment Details

Senior Quality Improvement Analyst

Department: Winnipeg Fire Paramedic Service

Designated Work Location: 185 King Street

Position Type: Permanent Full-time

Salary: $78,340.67 to $105,227.49 Annually per the WAPSO 4 classification

Employee Group: WAPSO

Posting No: 127532

Closing Date: November 17, 2026

Providing a wide range of services to over half of all Manitobans, The City of Winnipeg is one of the largest employers in Manitoba. We provide a comprehensive range of benefits and career opportunities to our employees. These include competitive salaries, employer-paid benefits, dental and vision care, pension plans, and maternity/parental leave programs. Additionally, we offer education, training, and staff development opportunities to ensure that our employees are equipped with the necessary skills to advance in their careers.

Our Benefits web page provides detailed information about the benefits we offer, and we encourage you to visit it for further information at City of Winnipeg Benefits . We take pride in fostering a , diverse , safe, and healthy workplace where our employees can thrive and achieve their full potential.

The City is committed to attracting and retaining a diverse skilled workforce that is representative and reflective of the community we serve. Applications are encouraged from equity groups that have been and continue to be underrepresented at the City; Indigenous Peoples, Women, Racialized Peoples, Persons with Disabilities, 2SLGBTQQIA+ Peoples and Newcomers are encouraged to self-declare.

For the purpose of this recruitment, Equity may be a factor in selection. Consideration will be given to Indigenous Peoples, Women, Racialized Peoples, Persons with Disabilities, 2SLGBTQQIA+ Peoples and Newcomers.

In accordance with the applicable collective agreement(s), recruitment and promotion provisions will be considered prior to applying equity strategies. Where permitted, preference will be given to qualified applicants who self-identify as members of the equity group(s) listed above.

Requests for Reasonable Accommodation will be accepted during the hiring process.

Preference to internal applicants may be applied.

Job Profile

Under the general direction of the Assistant Chief Research and Data Intelligence, the Senior Quality Improvement Analyst will lead data, analytics and insight for the Fire Paramedic Service. They will develop and oversee the governance, methodologies, people, process architecture and technologies to transform the Service’s data assets into accurate and trusted insights to enable evidence-based decision making.

The Senior Quality Improvement Analyst will rely on their technical expertise to provide guidance and leadership to Quality Improvement Analysts. They will also oversee data refinement and analysis, design, development, modification, testing, documentation, deployment and problem resolution of data models, profiles, transformations, and other data sources and destinations including data warehouses.

As The Senior Quality Improvement Analyst, You Will

Plan and schedule tasks, lead development efforts, provide technical leadership to the team, and supervise team members, manage team performance and ensure staff are accountable for results.
Plan and oversee the portfolio of data and analytics projects, products, and services for the Fire Paramedic Service used to transform the Service’s data assets into accurate, trusted, and assured insights to enable evidence-based decision-making.
Promote and maintain an evidence-based decision-making culture within the Service to expand problem solving capabilities, reduce bias, improve organizational efficiency and effectiveness, and unlock opportunities for improvement.
Advise the organization and its business areas on ways to strengthen their data quality and applicability in business planning, operations, and research, and ensure data solutions comply to any applicable regulatory laws.
Participate in Departmental Risk Management.

Your Qualifications Include

Completion of a Post-Secondary Degree in relevant STEM discipline (such as Statistics, Technology, Engineering, Mathematics) or an equivalent combination of related education, training and experience may be considered.
Master’s Degree is preferred
Combination of education, training and/or certification in Cloud Services, Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing or Programming is an asset.
Leadership or Management training is an asset.
A minimum of five (5) years’ experience in a directly related position.
A minimum of two (2) years’ experience leading/managing projects and teams.
A minimum of five (5) years’ experience in data collection, writing summaries, and visualizing data using dashboards and business intelligence tools/platforms.
A minimum of five (5) years’ experience with databases, ETL, and data warehousing including performing data wrangling and feature engineering.
A minimum of five (5) years’ experience designing and conducting research, analyzing complex issues and developing recommendation systems.
A minimum of five (5) years’ experience in data analytics, and interpretation of data and statistical models (e.g., A/B Testing, Clustering, Regression/Classification, Forecasting, and Explanatory Models) including data preparation techniques, hyperparameter tuning, and model evaluation metrics.
A minimum of five (5) years’ experience programming in a general-purpose programming language for application development and statistical computing such as R, Python, SPSS, SAS, etc.
Experience with advanced Machine Learning and AI techniques (i.e., supervised and unsupervised MG, decision trees, and natural language processing, outlier detection, recommendation engines, etc.).
Experience using PowerBi; preferably at an advanced level.
Strong leadership skills with the ability to mentor and train staff.
Ability to create a customer focused team with a commitment to deliver excellent client service.
Strong analytical and problem-solving skills to work related tasks in gathering relevant information, identifying root causes and recommending solutions to various stakeholders.
Ability to organize work related tasks effectively, work independently to meet project deadlines and performance targets within established timeframes/deadlines.
Ability to verbally express ideas clearly and concisely to all levels of the organization and deliver presentations and research findings to different audiences.
Strong written communication skills with the ability to produce technical reports and documents.
Ability to grow and develop positive interpersonal relationships, establish and manage effective partnerships and agreements with a wide variety of stakeholders, community/business groups, agencies, associations and civic departments.
Ability to use of various computer software programs pertinent to this position’s responsibilities (e.g. Outlook, Word, Excel,) with experience using spreadsheets, statistical, formatting, presentation and business intelligence software.
Knowledge of GIS (Geographic Information System) / GLI (Geospatial and Location Intelligence) / Geomatics, cartography and mapping is an asset.
Proficiency working with Cloud-based platforms and services is an asset.
Project management skills.

Conditions of employment

T he successful applicant must be legally entitled to work in Canada. If the successful applicant possesses a work permit, it is their responsibility to ensure the permit remains valid.
A Police Information Check satisfactory to the employer will be required from the successful candidate at their expense. For information on obtaining a Police Information Check, please visit www.winnipeg.ca/police .

How To Apply

APPLY ONLINE, including all documentation listed below:

Current resume and cover letter (Required).
Applications submitted without REQUIRED documentation will not be considered.
Your application documents must clearly indicate how you meet the qualifications of the position.*

Notes

Online applications can be submitted in PeopleSoft through the Careers tile on the Employee Self Service homepage.

Hours of Work:Monday to Friday, 8:30am to 4:30pm

Employee Group: WAPSO

Contact Person: Chidimma Okoli, Human Resources Consultant

Contact Email: WFPSRecruitment@winnipeg.ca

Position Reports To: Assistant Chief – Research and Data Intelligence.

Only candidates selected for interviews will be contacted.

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More about this job

Responsibilities

Lead the Fire Paramedic Service’s data and analytics portfolio, overseeing data governance, project delivery, data models, transformations, and trusted insights for evidence-based decisions. Provide technical leadership and supervise staff while promoting data quality, organizational improvement, and compliance with applicable regulations.

Requirements

A relevant post-secondary degree in a STEM discipline or equivalent education, training, and experience is required; a master’s degree is preferred. Candidates need at least five years of directly related experience, including data analytics, research, programming, databases and data warehousing, plus at least two years leading projects and teams.

Skills

Data Analytics
Data Governance
Data Quality
Data Warehousing
ETL
Machine Learning
Artificial Intelligence
Statistical Modeling
Python
R
Power BI
Project Management
Team Leadership
Research and Analysis
Business Intelligence
Communication

Benefits

Employer-Paid Benefits
Dental Care
Vision Care
Pension Plan
Maternity and Parental Leave
Education and Training Opportunities
Staff Development Opportunities

Visa sponsorship

Not detected in the job text

Hiring contact

Chidimma Okoli

Keywords

Data Governance
Data Analytics
Data Quality
Data Warehousing
ETL
Data Wrangling
Feature Engineering
Machine Learning
Artificial Intelligence
Deep Learning
Natural Language Processing
Python
R
SPSS
SAS
Power BI
Business Intelligence
Statistical Modeling
A/B Testing
Clustering
Regression
Classification
Forecasting
Model Evaluation
Recommendation Systems
Cloud Services
GIS
Geospatial Intelligence
Research
Project Management

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