Jobs in Ontario (220,877 jobs)

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

220,877 listings · 21,664 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,578 listings), Shoppers Drug Mart (4,365 listings), Walmart Canada (3,689 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

35,638 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	19,019
CAD / year	80,000.00	15,232
USD / year	155,000.00	87
CAD / month	4,000.00	70
CAD / week	1,500.00	50
CAD / day	120.50	24
USD / hour	20.00	13

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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FP Inc.

Data Analyst, Client Data

Toronto, ON, Canada

$60,000 to $70,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $60,000 to $70,000 CAD / year
Job type: Full-time
Apply by: Dec 10, 2026
Posting language: English
Posted: Nov 10, 2026

Original job description

An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application.

Duration: 6 months to FTE

Daily Responsibilities:

Investigate data quality issues across client and reference data, tracing problems back to the source system, the
transformation logic or the mapping.
Write and optimize Python and SQL to profile, validate and fix large enterprise datasets.
Build repeatable scripts and checks for bulk and targeted data fixes, including verification after each fix.
Support FenX configuration with data mapping, data migration readiness and data validation.
Work with business, operations and technology teams to triage issues, agree on fixes and keep work moving.
Document the cause of each issue, how it was fixed and the controls put in place, so the same problems don't come back

Must-Have Skills:

Technical core: strong, hands-on Python and SQL, plus advanced Excel, used to query, profil and change large, complex datasets.
Problem solving: a proven ability to diagnose data issues on your own, find the root cause and carry the fix through to completion.
Data quality and remediation: deep understanding of the remediation lifecycle: finding gaps, making bulk and targeted updates, and checking the results afterwards.
Large datasets: experience working with large enterprise datasets across multiple source systems.
Enterprise programs: experience on large, cross-functional enterprise data or technology initiatives in financial services.
Individual contributor: comfortable taking ownership, prioritizing your own work and delivering with minimal oversight.
Communication: clear written and verbal communication. You can explain technical findings to business and technical stakeholders alike.

Nice-to-Have Skills:

Fenergo FenX: experience with FenX configuration, data model, data migration or integration (a strong advantage).
Domain knowledge: client onboarding, KYC or client lifecycle management in Capital Markets.
Data tooling: experience with VS Code, Marimo or Jupyter, and with version control such as Git.
Jira: experience using Jira for ticket management and tracking.
Data migration: experience moving data between source systems and a new platform, including reconciling the data
afterwards.

FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The yearly compensation range for this role is $60k - 70k. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

Apply on LinkedIn About employer

More about this job

Responsibilities

Investigate client and reference data quality issues, identify root causes, and use Python and SQL to profile, validate, and remediate large datasets. Support FenX configuration and data migration readiness, coordinate fixes with business, operations, and technology teams, and document remediation and preventive controls.

Requirements

Requires hands-on Python, SQL, and advanced Excel skills, experience diagnosing and remediating data issues across large enterprise datasets, and experience with cross-functional enterprise initiatives in financial services. Candidates should be self-directed, communicate clearly with technical and business stakeholders, and ideally bring FenX, client onboarding or KYC, data migration, Git, and Jira experience.

Skills

Python
SQL
Advanced Excel
Data Quality
Data Profiling
Data Validation
Data Remediation
Root Cause Analysis
Large Enterprise Datasets
Data Mapping
Data Migration
FenX Configuration
Cross-Functional Collaboration
Git
Jira
Financial Services

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Advanced Excel
Data Quality
Client Data
Reference Data
Data Profiling
Data Validation
Data Remediation
Root Cause Analysis
Enterprise Datasets
Source Systems
Transformation Logic
Data Mapping
Bulk Data Fixes
Targeted Data Updates
FenX
Fenergo
Data Migration
Data Integration
Client Onboarding
KYC
Client Lifecycle Management
Capital Markets
VS Code
Marimo
Jupyter
Git
Jira
Financial Services

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Work requirements

Jobs in Ontario