Jobs in Canada

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Added 1 month ago
Senior Internal Auditor
Twilio
BC
Experience using data analytics tools (e.g., SQL, Tableau, Alteryx, or Python) to execute continuous auditing procedures.
Added 1 month ago
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Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Added 1 month ago
R
Python Java Sr Software Engineer -Montreal
RELX
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes, Linked-Data/RDF/JSON-LD, Databricks, Terraform, Github Actions, Apache…
Added 1 month ago
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Python Java Sr Software Engineer -Montreal
Elsevier
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
Beyond Python and Java experience, we work with the following technologies regularly: Confluent Kafka, Kubernetes, Linked-Data/RDF/JSON-LD, Databricks, Terraform, Github Actions, Apache…
Added 1 month ago
T
IT Support Analyst IV
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 1 month ago
QUALITY ASSURANCE AUTOMATION TESTER (UNIONIZED) - CONTRACT - HYBRID
Green Shield Canada
Windsor, ON
Hands on experience with scripting language such as VB script / C# and SQL scripts or Successful completion of approved scripting course
Added 1 month ago
NC
Quantitative Portfolio Strategist
Nymbus Capital
Montreal, QC
- Full-time
Production-ready Python and Git (required): you write, test and maintain code that runs in production (APIs, databases, pipelines), not just notebooks, and you work daily with Git…
Added 1 month ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 1 month ago
M
Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
5+ years back-end development, designing, implementing solutions in Databricks, Pyspark (Python API), Azure Data Factory and SQL Server
Added 1 month ago
R&
IT - AML Developer IV
Robertson & Company Ltd.
Toronto, ON
- Contract
Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
Added 1 month ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth…
Added 1 month ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 1 month ago
NC
Quantitative Portfolio Strategist
Nymbus Capital
Montreal, QC
- Full-time
Production-ready Python and Git (required): you write, test and maintain code that runs in production (APIs, databases, pipelines), not just notebooks, and you work daily with Git…
Added 1 month ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg / Snowflake Open Catalog, Python, PySpark, and SQL.
Added 1 month ago
TH
AI System and Automation Developer
TopHat HR
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $95,000 CAD / year
- Full-time
TopHat HR is hiring on behalf of one of our clients, a diversified business group with operations across multiple businesses and industries. They are looking for a hands-on AI Systems &…
Added 1 month ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 1 month ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes,…
Added 1 month ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on data discovery skills, including profiling unfamiliar data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions,…
Added 1 month ago
LA
Software Developer (Automation & Integration)
Litens Automotive Group
Concord, ON
- Full-time
Strong Python, JavaScript, PowerShell, and SQL programming and scripting skills, with experience creating maintainable, production-ready solutions.
Added 1 month ago
TI
Data Scientist
TekStaff IT Solutions
ON · Ontario, Canada
- Contract
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth…
Added 1 month ago
GF
Data Analyst
Greenstone Financial Services Canada
Toronto, ON · North York, ON
- $70,000 to $80,000 CAD / year
- Full-time
Hybrid role – 3 days in office and 2 days work-from-home
Added 1 month ago
EM
Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks…
Added 1 month ago
P
Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 1 month ago
T
Equity Research Intern/Co-op
TD
Toronto, ON
- Full-time
Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
Added 1 month ago
B
Manager, Wealth Reporting Analytics & Automation
BMO
Toronto, ON
- Full-time
…Develops analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting insights, automation as…

Greenstone Financial Services Canada

Data Analyst

Toronto, ON, Canada
North York, ON, Canada

$70,000 to $80,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $70,000 to $80,000 CAD / year
Job type: Full-time
Work location: Hybrid role – 3 days in office and 2 days work-from-home
Experience: 1–3 years of experience in Data Analytics, Business Intelligence, or a related analytical role.
Posting language: English
Posted: Oct 9, 2026

Original job description

Role Overview

We are seeking a hands-on and business-focused Data Analyst to support data-driven decision-making across our Life Insurance operations.

The role will support Sales, Care & Support, and Lead Management through performance reporting, data analysis, process automation, and actionable insights. The successful candidate will work closely with business stakeholders to monitor performance, investigate trends, and identify opportunities to improve sales effectiveness, customer retention, and operational efficiency.

This role is suited to an analyst who is comfortable working independently with data while continuing to develop their strategic and commercial analytics capability.

Key Responsibilities

1. Sales & Lead Analytics – 20%

Monitor lead performance, contact rates, conversion, sales performance, and advisor productivity.
Develop and maintain dashboards, scorecards, and recurring performance reporting.
Analyze lead sources, customer segments, and sales funnel performance to identify trends and improvement opportunities.
Support sales optimization, lead allocation, capacity planning, and performance analysis.
Conduct ad-hoc analysis to support Sales and Lead Management initiatives.

2. Care & Retention Analytics – 50%

Analyze post-sales customer and policyholder performance to identify drivers of retention, persistency, and customer experience.
Monitor and report on key Care & Support metrics, including retention, lapse, service levels, and customer engagement.
Conduct customer, cohort, and root-cause analysis to identify performance drivers.
Support the development and measurement of customer retention initiatives.
Partner with Care & Support teams to identify operational improvement opportunities and measure outcomes.

3. Reporting, Automation & Data Quality – 20%

Develop and maintain Power BI dashboards and automated reporting solutions.
Use SQL and Python to extract, transform, validate, and analyze data.
Identify opportunities to reduce manual reporting and improve reporting efficiency through automation.
Perform data validation and reconciliation to ensure reporting accuracy.
Maintain clear KPI definitions, reporting documentation, and analytical methodologies.

4. Business & Knowledge Support – 10%

Support ad-hoc analytical requests across Sales, Care & Support, and Lead Management.
Document key business processes, analytical methodologies, and reporting frameworks.
Support knowledge-sharing and knowledge-transfer activities across teams.
Provide analytical support for new market initiatives as required.

Qualifications

Bachelor’s degree in data Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or a related field.
1–3 years of experience in Data Analytics, Business Intelligence, or a related analytical role.
Experience in Life Insurance, Financial Services, Sales Analytics, Customer Analytics, or another regulated industry is preferred.

Technical Skills

Strong SQL skills, including Microsoft SQL Server / T-SQL.
Working knowledge of Python for data analysis and automation.
Proficiency with Power BI and/or Tableau.
Advanced Microsoft Excel skills.
Experience with automated reporting, data validation, and ETL processes.
Working knowledge of statistical analysis and A/B testing is desirable.
Familiarity with AI/ML tools and concepts is considered a nice-to-have.

Core Competencies

Strong analytical and problem-solving skills.
Ability to translate data into clear and actionable business insights.
Good communication and stakeholder management skills.
Strong attention to detail and commitment to data quality.
Ability to manage multiple priorities and work independently.
Curious, commercially aware, and comfortable investigating business performance.
Customer-focused mindset with an interest in developing deeper business and strategic analytics capability.

Why Join Us

Work directly on analytics supporting sales growth and customer retention.
Gain exposure to multiple areas of the Life Insurance customer lifecycle.
Develop technical, commercial, and strategic analytics capability.
Work closely with business leaders and cross-functional teams.
Opportunity to contribute to automation, process improvement, and future market initiatives.

Benefits

That's why you can expect to be rewarded for the hard work you put in through job satisfaction, career development and the fantastic range of benefits we offer:

What's in it for you?

4 weeks vacation per year
10 paid sick days per year
Hybrid role – 3 days in office and 2 days work-from-home
100% employer paid health benefits from day 1 including $500 Healthcare Spending Account
Parental leave top-up
5% RRSP matching after 3 months of service
Learning and growth opportunities
Free weekly lunches, epic social events, and more!

If this role interests you, we would love to hear from you!

Apply now!

Apply on LinkedIn About employer

More about this job

Responsibilities

Analyze sales, lead, customer retention, policyholder, and care performance to identify trends, root causes, and opportunities to improve business outcomes. Develop dashboards and automated reporting, validate data, document KPIs and methodologies, and provide analytical support to cross-functional teams.

Requirements

A bachelor's degree in analytics, statistics, mathematics, computer science, business, economics, or a related field is specified, along with 1–3 years of experience in data analytics, business intelligence, or a related analytical role. Candidates should have strong SQL skills, working knowledge of Python, proficiency with Power BI and/or Tableau, advanced Excel skills, and strong analytical, communication, and data-quality capabilities.

Skills

SQL
Microsoft SQL Server
T-SQL
Python
Power BI
Tableau
Microsoft Excel
Data Analysis
Business Intelligence
Dashboard Development
Automated Reporting
ETL
Data Validation
Statistical Analysis
A/B Testing
Stakeholder Management

Benefits

Four Weeks Of Vacation Per Year
10 Paid Sick Days Per Year
Hybrid Work Arrangement
Employer-Paid Health Benefits From Day One
$500 Healthcare Spending Account
Parental Leave Top-Up
5% RRSP Matching After Three Months
Learning And Growth Opportunities
Free Weekly Lunches
Social Events

Visa sponsorship

Not detected in the job text

Keywords

Life Insurance
Sales Analytics
Lead Management
Customer Analytics
Customer Retention
Persistency
Policyholder Analytics
Care And Support Metrics
SQL
Microsoft SQL Server
T-SQL
Python
Power BI
Tableau
Microsoft Excel
ETL
Automated Reporting
Data Validation
Data Reconciliation
Dashboard Development
Performance Reporting
Lead Conversion
Advisor Productivity
Cohort Analysis
Root-Cause Analysis
Statistical Analysis
A/B Testing
Data Quality
Process Automation
Financial Services

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Work requirements

Jobs in Canada