Senior Manager - Data Strategy and Analytics

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, Hydro Solution, 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.

We would love to hear from you if you are ready to become one of our Experts.

Role: Senior Manager, Data Strategy & Analytics

Reports to: Director, Data Strategy & Analytics

Status: Full Time, Regular

Location: Markham

Compensation: $102,912 - $149,738

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.

Reporting to Director, Data Strategy & Analytics, you will play a key role in a highly visible team within the organization to advance our business as we execute our data strategy. Partnering with various supporting function & lines of businesses, the Senior Manager, Data Strategy & Analytics will provide leadership and guidance to drive business values, enhance analytics & insights, understand the complexity of business operations, and help leverage data to develop comprehensive reporting solutions, incl.

Dashboards, harmonized KPIs, other value driven analytics. As part of the team, you will empower business partners to further enhance customer experience, increase revenues and improve operational efficiencies.

• Lead a diverse team of data analysts and developers to deliver quality analysis, interpretation of findings and clear articulation of results and insights to internal business partners
• Help develop data strategy and business architecture roadmap and guide its implementation
• Lead high-profile and time-sensitive analyses with decision-grade executive-ready quality
• Develop and deliver scenario simulations and other data products to inform business and operational decision-making process
• Ensure data products and codes released by the team all have completed and up-to-date documentation available to internal stakeholders
• Ability to oversee the building of the BI/analytics infrastructure including data management/pipeline building process (data exploration, curation, and pipeline automation) – experience working with Azure tech stack, Fabric, Synapse, Databricks, preferred
• Lead hands-on sessions in prioritizing user-stories, designing analytical approaches, running experiments, and assessing data product performance
• Lead by example to leverage design- and system-thinking concepts with an agile mindset to create and deploy incremental, viable data products by leveraging tools available in-house and in the open-source ecosystems
• Stay current on emerging trends in trusted data, cognitive analytics, and other relevant community publications
• Mentor team and participate in continuous self-learning
• Support and evolve the Advanced Analytics and Data Management capabilities towards empowering citizen data scientists in the business

• 5+ years management experience required with demonstrated success building, developing and leading a high performing team
• 8+ years of professional experience in analytics environment with proven value creation outcomes
• 5-7 years of professional experience with PBI and Azure
• 5-7 years of professional experience with SQL and/or Python
• 3-5+ years of experience leading and delivery enterprise-scale data strategy projects and facilitating collaboration across teams
• Experience in modeling and analysis including machine learning, statistical analysis, operations research, management science and…