Manager - Marketing Analytics

Résumé du poste

This role translates business objectives into scalable analytics solutions by leveraging Microsoft Fabric and business intelligence tools. The manager will partner with stakeholders to modernize analytics capabilities, improve data governance, and deliver actionable insights.

Détails du poste

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 - Marketing Analytics Status: Regular, Full Time Department: Marketing Brand and Communications Location: 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. Summary This role operates at the intersection of business, data, and technology, translating business objectives into scalable analytics solutions. Leveraging Microsoft Fabric, analytics engineering, and business intelligence capabilities, the role enables data-driven decision-making through trusted data models, KPI frameworks, and actionable insights. The position partners closely with business and technical stakeholders to modernize analytics capabilities, improve data governance, and deliver measurable business value. Required Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Marketing Analytics, or a related quantitative discipline. 5+ years of experience in Analytics Engineering, Business Intelligence, Data Analytics, or Marketing Analytics roles. Proven experience designing scalable analytical solutions that support enterprise decision-making. Analytics Engineering & Data Platform Expertise Advanced proficiency in SQL for data modeling, transformation, optimization, and advanced analytics. Strong hands-on experience with Microsoft Fabric. Experience building and maintaining enterprise-grade analytics engineering frameworks, including data models, reusable metrics, and reporting layers. Strong understanding of dimensional modeling, star schemas, semantic modeling, and best practices. Experience developing and optimizing ETL/ELT pipelines to ensure reliable and scalable data delivery. Business Intelligence & Visualization Advanced proficiency in Power BI, including DAX, Power Query, semantic models, dashboard development, and performance optimization. Experience designing executive dashboards, KPI scorecards, and self-service analytics solutions. Ability to translate complex datasets into actionable business insights and compelling visual storytelling. Advanced Analytics Experience performing customer segmentation, predictive analytics, trend analysis, forecasting, and marketing performance measurement. Strong understanding of experimentation frameworks, A/B testing, statistical analysis, and performance attribution methodologies. Proficiency in Python for data analysis, automation, and advanced analytical modeling. Experience leveraging AI and machine learning capabilities within Microsoft Fabric or Azure ecosystems to drive business insights. Data Architecture & Cloud Technologies Experience working with cloud-based analytics platforms and modern data architectures. Understanding of medallion architecture, data lake concepts, and enterprise-scale analytical environments. Familiarity with Azure Data Services, Databricks, Spark, and distributed data processing frameworks is considered an asset. Experience implementing scalable, governed, and reusable data products that support cross-functional business needs. Business & Leadership Skills Ability to bridge business requirements and technical implementation through strong stakeholder engagement. Experience partnering with Marketing, Product, Finance, Sales, and senior leadership teams to define metrics and measurement strategies. Strong communication skills with the ability to present analytical findings and recommendations to executive audiences. Demonstrated ability to lead analytics initiatives from requirements gathering through deployment and adoption. Additional Preferred Qualifications Microsoft Fabric Analytics Engineer Associate certification or equivalent. Experience implementing enterprise analytics modernization initiatives. Knowledge of DevOps, CI/CD practices, and analytics engineering best practices. Experience establishing standardized KPI frameworks and governed business metrics across large organizations. 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. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

Ce que vous ferez

This role translates business objectives into scalable analytics solutions by leveraging Microsoft Fabric and business intelligence tools. The manager will partner with stakeholders to modernize analytics capabilities, improve data governance, and deliver actionable insights.

Exigences

Candidates must have a bachelor's degree in a quantitative discipline and at least 5 years of experience in analytics engineering or business intelligence. Proficiency in SQL, Power BI, and data modeling is required, along with strong leadership and communication skills.

Compétences indiquées

• Power BI · Souhaitée
• SQL · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Marketing Analytics
• SQL
• Microsoft Fabric
• Power BI
• Data Modeling
• ETL/ELT Pipelines
• Python
• Predictive Analytics
• Customer Segmentation
• Statistical Analysis
• A/B Testing
• Data Governance
• Business Intelligence
• Stakeholder Engagement
• KPI Frameworks
• Azure Data Services
• Scalability Design
• Business Metrics
• Data Lakes
• Pipelines
• CI/CD
• Python For Data Analysis
• Business Objectives
• Data Analysis Expressions (DAX)
• Advanced Analytics
• Technology Ecosystems
• Visual Storytelling
• Data-Driven Decision Making
• Enterprise Analytics
• Artificial Intelligence
• Analytics
• Data Analysis
• Automation
• Microsoft Azure
• Dashboard
• Business Requirements
• Business Valuation
• Decision Making
• Communication
• Computer Science
• Data Architecture
• Extract Transform Load (ETL)
• DevOps
• Dimensional Modeling
• Distributed Data Store
• Finance
• Sales
• Forecasting
• Leadership
• Marketing

Domaines d’emploi

• Data & Analytics
• Marketing
• Management & Leadership
• Technology
• Energy
• Marketing Analytics Manager
• Sales and Marketing Managers
• Marketing Managers