Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

187,407 listings · 20,026 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,830 listings), Shoppers Drug Mart (3,730 listings), Walmart Canada (3,033 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

30,683 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	15,828
CAD / year	80,000.00	12,281
USD / year	100,000.00	754
USD / hour	20.00	626
CAD / month	5,131.00	49
CAD / week	937.50	28
CAD / day	114.00	12

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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IMCS Group

Business System Analyst

ON, Canada
Ontario, Canada, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 27, 2026
Experience: Experience Required: 8–10 Years
Posting language: English
Posted: Oct 28, 2026

Original job description

Job Description – Business System Analyst

Location: Toronto, ON

Work Model: Hybrid – 2 days per week in person at the Toronto office preferred

Experience Required: 8–10 Years

Role Summary

We are seeking an experienced BSA TSBI professional with strong expertise in business analysis, SQL development, data modelling, data analysis, and source-to-target data mapping. The role involves analyzing legacy systems, documenting business transformation rules, preparing technical designs, and supporting L2/L3 data models within large-scale data initiatives.

Key Responsibilities

Legacy System Analysis and Data Mapping

Analyze legacy systems and review target table mapping documents to determine operational objectives, business functions, and output requirements.
Trace target field mappings back to the original data elements in source systems.
Perform data analysis and data profiling across different legacy systems using SQL.
Document source-to-target data flows for each table, including business transformation rules, key-cutting processes for surrogate keys, and reference data used to enhance target data.
Collaborate with TSBI and ETL leads to review code and document business rules when mapping documentation is unavailable.
Maintain mapping documentation and technical requirements.

L2/L3 Data Models and Mapping Design

Support the business team in creating the L2 Model in collaboration with Project Business Analysts, Solution Architects, and TSBI.
Collaborate with data scientists, business analysts, and IT teams to integrate L2/L3 models into data pipelines.
Prepare technical designs and data movement mappings for new L2 Models.
Review key-cutting processes for the L2 Model and obtain approval from L2 Schema Owners.
Ensure only BORT system data is populated into the L2 schema, while other reference and tactical data is consumed directly by L3 processes.
Document business transformation rules for each target table in L2-to-L3 mapping.
Support the implementation of custom surrogate key processes for L3 tables, with keys different from those used in L2 tables.
Ensure systems with one-off tables containing business data are loaded into the L3 schema for target table processing.

Business Analysis and Technical Documentation

Determine operational objectives by analyzing business functions, gathering information, and evaluating output requirements and formats.
Analyze requirements, design solutions, and identify required modifications.
Define project requirements, milestones, phases, and deliverables, and support project team formation.
Monitor project progress, resolve issues, prepare progress reports, and recommend actions.
Conduct requirement-gathering sessions and stakeholder workshops across business and technology teams.
Prepare data models and technical design documentation according to established standards.
Assess intake requests for new projects and change requests.
Work with business and technology teams to fulfill data requirements.
Maintain confidentiality and protect operational information.
Maintain professional and technical knowledge through workshops and continuous learning.

Data Governance and Quality

Support the implementation of data governance policies and procedures to ensure compliance with industry regulations and standards.
Collaborate with cross-functional teams to design and implement data quality frameworks.
Improve data accuracy and integrity while reducing errors.

Mandatory Must-Have Skills and Experience

Strong PL/SQL and T-SQL development skills, including query optimization.
Experience in data modelling using industry-standard modelling tools, gap analysis, and MS Visio.
Strong understanding of data warehousing concepts, ETL processes, and source-to-target data mapping.
Proven experience conducting requirements-gathering sessions and stakeholder workshops across business and technology teams.
Experience in data analysis, data profiling, legacy system analysis, and technical documentation within large-scale data initiatives.

Nice-to-Have Skills and Experience

Knowledge of banking domain data, including customer, account, and transaction data.
Experience with Sybase PowerDesigner for data modelling.
Knowledge of cloud technologies such as Amazon AWS.
Familiarity with data governance and data quality frameworks.
Experience supporting L2/L3 data models and enterprise data warehouse environments.

Apply About employer

More about this job

Responsibilities

Analyze legacy systems and data, document source-to-target mappings and transformation rules, and support the design and integration of L2/L3 data models and pipelines. Gather requirements, prepare technical documentation, monitor project progress, and support data governance and quality initiatives.

Requirements

Requires 8–10 years of experience, strong PL/SQL and T-SQL development skills, and expertise in data modeling, data warehousing, ETL, data mapping, profiling, and legacy system analysis. Candidates should also have experience leading requirements-gathering sessions and stakeholder workshops; banking data, PowerDesigner, AWS, and L2/L3 model experience are preferred.

Skills

PL/SQL
T-SQL
SQL Query Optimization
Data Modeling
Source-to-Target Data Mapping
Data Analysis
Data Profiling
Legacy System Analysis
Data Warehousing
ETL Processes
Technical Documentation
Requirements Gathering
Stakeholder Workshops
MS Visio
Data Governance
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

PL/SQL
T-SQL
SQL
Query Optimization
Data Modeling
MS Visio
Sybase PowerDesigner
Data Warehousing
ETL
Source-to-Target Mapping
Data Analysis
Data Profiling
Legacy Systems
L2/L3 Data Models
Data Pipelines
Surrogate Keys
Reference Data
Business Transformation Rules
Technical Design
Requirements Gathering
Stakeholder Workshops
Data Governance
Data Quality
Banking Data
Amazon AWS
Enterprise Data Warehouse
Customer Data
Account Data
Transaction Data

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