Jobs in Waterloo, ON and nearby

Jobs within 25 km of Waterloo, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

9,787 listings · 1,823 employers Counted Oct 31, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (232 listings), Linamar Corporation (210 listings), Manulife (177 listings).

Common roles: Retail sales associate, Software engineer, Project manager.

1,413 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	23.12	724
CAD / year	75,000.00	561
USD / hour	20.00	34
USD / year	83,000.00	22

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, 18% 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 Waterloo, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 2 days ago
RI
Disability Case Manager
RWAM Insurance Administrators Inc.
Elmira, ON
- Full-time
Added 2 days ago
E
Senior Account Manager
Encircle
Kitchener, ON
- Full-time
Added 2 days ago
E
Account Manager
Encircle
Kitchener, ON
- Full-time
Added 2 days ago
SC
Retail Operations Supervisor
Staples Canada
Waterloo, ON
- Full-time
Added 2 days ago
Finance Data Analyst
The Canada Life Assurance Company
Kitchener, ON
Added 2 days ago
OH
Lead, Capacity, Access and Flow
Ontario Health
Waterloo, ON
- Full-time
Added 2 days ago
Design Manager – Water/Wastewater
GHD Group Pty Ltd
Waterloo, ON
Added 2 days ago
CT
Project Manager, Construction
Canadian Tire Corporation
Kitchener, ON
- Full-time
Added 2 days ago
C
Communications Consultant
Co-operators
Guelph, ON
- Full-time
Added 2 days ago
FS
General Manager / Operations Manager (Agri-Food Manufacturing & Distribution)
Futran Solutions
Petersburg, ON
- Full-time
Added 2 days ago
AA
Backend Software Developer
ATS Automation
Cambridge, ON
- $36.54 to $50.24 CAD / hour
Added 2 days ago
HH
Registered Practical Nurse, Addiction Medication Program- Part- time
Homewood Health Centre
Guelph, ON
- Part-time
Added 2 days ago
HH
Registered Practical Nurse, Addiction Medication Program- Part- Time
Homewood Health Centre
Guelph, ON
- Part-time
Added 2 days ago
HH
Registered Practical Nurse, Addiction Medication Program - Temporary Full-Time
Homewood Health Centre
Guelph, ON
- Full-time
Added 2 days ago
A
Team Leader, Claims Services
Agricorp
Guelph, ON
- Full-time
Added 2 days ago
Senior Data Reporting Analyst
Equitable
Waterloo, ON
Added 2 days ago
LC
Grocery Clerk Part Time Day Greenlight Requisition
Loblaw Companies Limited
Waterloo, ON
- Part-time
Added 2 days ago
UO
Talent Acquisition Specialist
University of Waterloo
Waterloo, ON
- Full-time
Added 2 days ago
RA
3P Prototype Assembler
Rockwell Automation
Cambridge, ON
- Full-time
Added 2 days ago
WC
310T Fleet Mechanic
Waste Connections
Kitchener, ON
- Full-time
Added 2 days ago
M
Program and Events Producer
Manulife
Waterloo, ON
- Full-time
Added 2 days ago
M
Operations & Data Analyst Co-op (8 Months)
Manulife
Waterloo, ON
- Full-time
Added 2 days ago
Part-Time Head Coach, Esports (Contract)
Conestoga College
Kitchener, ON
Added 2 days ago
FC
Seasonal Package Handler Non-Driver
FedEx Canada
Cambridge, ON
- Temporary
Added 2 days ago
E
Senior Data Reporting Analyst
Equitable
Waterloo, ON
- $80,000 to $95,000 CAD / year
- Full-time

Equitable

Senior Data Reporting Analyst

Waterloo, ON, Canada

$80,000 to $95,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $80,000 to $95,000 CAD / year
Job type: Full-time
Apply by: Nov 27, 2026
Experience: 5+ years of relevant work experience in data engineering or a similar role
Posting language: English
Posted: Oct 28, 2026

Original job description

At Equitable, we believe work should be a place where you feel supported, inspired, and empowered to grow. In our caring and collaborative environment, your curiosity is encouraged, your passion is recognized, and your contributions truly matter. Together, we create meaningful impact, for our clients, our communities, and each other.

The Opportunity:  At Equitable, we believe great things happen when we work together. We’re a Canadian mutual company driven by purpose - putting people first and helping Canadians protect today and prepare for tomorrow. If you’re passionate about making a difference and growing your career in an inclusive and collaborative environment, we’d love to hear from you.

Our culture is built on care, passion and curiosity. We put people above all else, strive to be our best and welcome new ideas to deliver positive outcomes.

Equitable is growing! We are looking for a Senior Data Reporting Analyst to join our Group Actuarial team!

As a Senior Data Reporting Analyst at Equitable, you will play a crucial role in designing, developing, and maintaining data & reporting assets. Your work will directly support our reporting needs and help automate manual processes to improve efficiency and accuracy. You will collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.

Join one of the region’s top employers and be part of something that truly makes a difference.

Work Arrangements: This is a hybrid role. You will work in our office in Waterloo, ON a minimum of two (2) assigned, consecutive days every other week, plus a fifth (5th) assigned day per month. You are welcome to work from the office more than the minimum requirement and there may be some roles that are required to work in our office more than the minimum requirement.

What you’ll do:

Design, develop, and maintain data & reporting assets
Build and optimize data pipelines to support reporting in Power BI
Automate manual processes to enhance efficiency and accuracy
Collaborate with data analysts, actuaries, and other stakeholders to understand data requirements
Ensure data quality and integrity throughout the data lifecycle
Implement best practices for data management and governance
Stay up-to-date with the latest industry trends and technologies

What you’ll bring:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
5+ years of relevant work experience in data engineering or a similar role
Strong programming skills in Python, including experience with relevant libraries such as pandas, numpy, statsmodels, scikit-learn, and tensorflow.
Proficiency in Python and SQL
Experience with database management systems
Experience with data visualization tools, particularly Power BI
Knowledge of statistical, machine learning, and deep learning techniques
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Experience with cloud platforms (Azure)
Familiarity with big data technologies like Hadoop, Spark, or Kafka
Experience with CI/CD pipelines and version control systems (e.g., Git)

What’s in it for you:

Career Growth: Regular learning sessions and development opportunities 
Total Rewards: Incentive pay, annual salary reviews, employer-paid benefits and pension matching 
Time Away: Competitive vacation plus one paid volunteer day each year
Flexibility: Healthy work-life balance with employee wellness always top of mind, complemented by a “dress for your day” approach

We’re committed to fair pay and an inclusive, accessible hiring experience. If you need accommodations or alternative formats at any stage, just reach out to us at careers@equitable.ca. We’re happy to help.

If you’re selected to move forward, our Talent Acquisition team will walk you through all the details of our total rewards program, so you know exactly what’s included. This position is open and we are excited to find the right person to join our team. Your base pay will be based on your skills, qualifications, experience and education.

At Equitable, your resume will be reviewed by real people and all hiring decisions are made by our recruiters and hiring managers. AI tools may be used to support administrative and productivity tasks throughout the recruitment process, but we believe that evaluating experience, skills, and talent potential requires meaningful human interaction.

As part of our commitment to maintaining a secure and trusted workplace, candidates selected to move forward in the recruitment process will be required to complete a background screening in accordance with company policy.

Reports To: Head of Data & Analytics, Group Insurance

Department: Group

Term: Permanent Full-Time

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain data and reporting assets, including optimized pipelines that support Power BI reporting. Automate manual processes, ensure data quality and governance, and collaborate with analysts, actuaries, and other stakeholders to deliver reporting solutions.

Requirements

Requires a bachelor’s or master’s degree in computer science, data science, engineering, or a related field, plus 5+ years of relevant data engineering or similar experience. Candidates should have strong Python and SQL skills, experience with databases and Power BI, and knowledge of statistical and machine learning techniques; Azure, big data technologies, CI/CD, and Git are also listed.

Skills

Python
SQL
Power BI
Data Engineering
Data Pipeline Development
Data Visualization
Database Management
Data Quality
Data Governance
Statistical Techniques
Machine Learning
Deep Learning
Azure
Big Data Technologies
CI/CD
Git

Benefits

Incentive Pay
Annual Salary Reviews
Employer-Paid Benefits
Pension Matching
Competitive Vacation
Paid Volunteer Day
Learning And Development Opportunities
Employee Wellness

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Pandas
NumPy
Statsmodels
Scikit-Learn
TensorFlow
Power BI
Azure
Hadoop
Spark
Kafka
Git
CI/CD Pipelines
Data Engineering
Data Reporting
Data Pipelines
Database Management Systems
Data Visualization
Data Quality
Data Integrity
Data Management
Data Governance
Statistical Techniques
Machine Learning
Deep Learning
Group Actuarial
Group Insurance
Insurance

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