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Added 5 mins ago
MI
Maker, Tool & Die (Certified)
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- Full-time
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Added 5 mins ago
MC
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Added 5 mins ago
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Administrative Specialist, CBC Gem (English Services) 1-Year Contract
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Reporting to the Manager, CBC Gem Merchandising, the Administrative Specialist will collaborate with Product teams, Communication teams, Business & Rights, Programming, Media Solutions and…
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Added 18 mins ago
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Added 21 mins ago
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Enercare Inc.

Manager - Customer Analytics

Markham, ON, Canada

Compensation: $74,817 - $118,211 · Full-time

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Job details

Pay: Compensation: $74,817 - $118,211
Job type: Full-time
Apply by: Nov 6, 2026
Experience: Minimum 5 years’ experience in delivering analytics and data science results in a data-driven organization.
Posting language: English
Posted: Oct 7, 2026

Original job description

Enercare Inc. is one of Canada’s largest home and commercial services companies servicing over one million customers across Ontario, Manitoba, Saskatchewan, Alberta, British Columbia, Quebec and New Brunswick. Enercare is the Experts at Home, operating under several brands including Enercare, HydroSolution, and Pioneer Plumbing & Heating.

A proudly Canadian-owned company, we are the Experts at what we do and deeply care about our customers. We value a diverse, collaborative culture, and take pride in our commitment to health and safety, and knowing our work serves and supports our communities every day. No matter your role, we invest in making sure you have opportunities to grow, learn, and become the Expert you want to be.

If you are ready to become one of our Experts, we would love to hear from you.

Role: Manager, Customer Analytics

Status: Regular, Full Time

Reports to: Senior Manager, Marketing Analytics

Department: Marketing

Division: Enercare Home and Commercial Services

Location: Hybrid - Markham

Compensation: $74,817 - $118,211

Please note that the compensation range listed includes base salary and potential incentive pay. Incentives such as bonuses are not guaranteed and depend on individual performance and company results. Actual compensation within the range will be determined based on skills, experience, and qualifications.

The Manager, Marketing Analytics works collaboratively with the Customer Base Management team , Acquisition team and Product team to deliver analysis and insights to advance data-based decision making within Enercare’s Home Services Division. They will collaborate with the Marketing team on projects to measure, assess performance and make recommendations on digital campaign, offer, product and asset performance.

The individual will work through all phases of analytic requests from identifying requirements to assembling key information to applying statistical and analytic techniques to interpreting findings to preparing and presenting findings. They will work closely with business partners across the business including the Data Strategy and Operations Team and Information technology team. This position is supported by the Senior Manager, Marketing Analytics.

Your analysis and recommendations will have a direct and immediate impact on the company’s success. This role will also be involved in projects to support customer and product growth/attrition goals. Your campaign analysis will be critical to support the direction of our future marketing initiatives.

This is a great opportunity for a data-driven, forward-thinking analytic professional looking to join a growing organization positioned to be the premier provider of essential home, commercial services and energy solutions in North America

Key Responsibilities:

Design and implement processes to support data-based decision making through the planning, in-market and post assessment phases of Marketing initiatives and campaigns
Develop and deploy predictive models to support core business outcomes by using machine learning and advanced analytics techniques, including propensity modeling, churn prediction, and customer lifetime value prediction, etc.
Support model deployment, monitoring, governance, and lifecycle management in production environments.
Assist with customer segmentation, forecasting, classification, and optimization projects.
Produce comprehensive in-campaign and post-campaign reports on campaign performance, highlighting key findings, insights, and recommendations for optimization.
Communicate results in a concise and effective manner to ensure that key business partners understand key levers to drive business performance.
Deliver KPI performance data for weekly and monthly reviews, reporting on KPIs such as open rates, CTR, leads, conversion rates, website traffic, calls volume, web forms and social media engagement.
Work closely with agencies to integrate information from multiple digital data sources.

Qualifications:

Minimum 5 years’ experience in delivering analytics and data science results in a data-driven organization.
Undergraduate or Graduate degree in a quantitative discipline
Advanced proficiency in Python and SQL, with demonstrated experience developing production-grade analytical solutions.
Working experience building, validating, and deploying machine learning models using libraries such as Scikit-Learn, XGBoost, LightGBM, CatBoost, TensorFlow, or similar frameworks.
Experience working with cloud-based analytics platforms such as Microsoft Fabric
Familiarity with MLOps principles, including model lifecycle management, monitoring, version control, experimentation, and deployment practices.
Strong business acumen, with an excellent understanding of marketing, sales fundamentals.
Proven track record of developing analytic presentations to drive action for business units.
Demonstrated ability to collaborate with diverse cross-functional teams to achieve results.

Enercare is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, national origin, religion, sex, age, sexual orientation, gender identity, citizenship, marital status, disability, pregnancy, military status, protected veteran status or other characteristics protected by applicable law. Enercare’s recruitment process includes accommodation for applicants with disabilities in accordance with applicable provincial accessibility laws and regulations. All accommodations will take into account the applicant’s accessibility needs due to disability and are available upon request.

Our company leverages artificial intelligence (AI) tools as part of the candidate screening process to help review applications efficiently and fairly. These tools may assist in evaluating qualifications against job requirements. All decisions regarding hiring are ultimately made by our recruitment team.

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More about this job

Responsibilities

Lead analytics for marketing initiatives and campaigns, including predictive modeling, customer segmentation, forecasting, and measurement of campaign performance. Communicate findings and recommendations to business partners, deliver KPI reporting, and support model deployment, monitoring, governance, and lifecycle management.

Requirements

Requires at least five years of analytics or data science experience, an undergraduate or graduate degree in a quantitative discipline, and advanced Python and SQL skills. Candidates should have experience developing and deploying machine learning models, familiarity with cloud analytics platforms and MLOps, strong marketing and sales acumen, and the ability to present insights and collaborate across teams.

Skills

Customer Analytics
Marketing Analytics
Python
SQL
Machine Learning
Predictive Modeling
Propensity Modeling
Churn Prediction
Customer Lifetime Value Modeling
Customer Segmentation
Forecasting
Model Deployment
MLOps
Campaign Performance Analysis
Data Visualization and Presentation
Cross-Functional Collaboration

Visa sponsorship

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Keywords

Customer Analytics
Marketing Analytics
Python
SQL
Microsoft Fabric
Scikit-Learn
XGBoost
LightGBM
CatBoost
TensorFlow
Machine Learning
Predictive Modeling
Propensity Modeling
Churn Prediction
Customer Lifetime Value
Customer Segmentation
Forecasting
Classification
Optimization
MLOps
Model Lifecycle Management
Model Monitoring
Model Deployment
Campaign Analysis
KPI Reporting
Digital Marketing
Marketing Campaigns
Conversion Rates
Data-Based Decision Making
Marketing Analytics Platforms

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