Postuler

Publié il y a 28 jours

Manager - Marketing Analytics

@ ENERCARE

Markham, Ontario

5+ ans d’expérience
Postuler
SIGNAUX

En bref

Enercare is hiring a Manager of Marketing Analytics in Markham to turn business goals into scalable analytics solutions. The role builds trusted data models, KPI frameworks and dashboards using Microsoft Fabric and Power BI, and partners with marketing, product, finance and sales leaders. Full-time regular position with a salary range of $74,817 to $118,211 plus possible incentive pay.

Responsabilités :

  • Translate business objectives into scalable analytics solutions
  • Build data models, reusable metrics and reporting layers in Microsoft Fabric
  • Develop executive dashboards and KPI scorecards in Power BI
  • Improve data governance and modernize analytics capabilities
  • Lead analytics initiatives from requirements to adoption

Résumé des exigences :

  • Bachelor's degree in a quantitative discipline
  • 5+ years in analytics engineering, BI or marketing analytics
  • Advanced SQL, Microsoft Fabric and Power BI skills
  • Proficiency in Python and advanced analytics
  • Strong stakeholder communication skills

Outils et compétences

Source et dates

Site carrière / système de candidatures · dayforce-feed

Date publiée par l’employeur
2026-10-12
Première détection par notre source
2026-10-13
Mise à jour du dossier source
2026-10-13

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauGestionnaire
DomaineOpérations
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesData Analytics, Computer Science, Statistics, Mathematics, Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Offres sur Jobsy99
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 - 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.

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