Senior Manager - Data Strategy & Analytics

Proudly Canadian-owned, Enercare is committed to providing the best services, solutions and advice to make customer’s homes as comfortable as they can be.  With Enercare Advantage, we provide affordable clean air and water solutions for homes and workplaces.  We are committed to operating in an environmentally responsible way, including keeping as much waste out of landfills as possible, and giving back to the communities where we live and work. Enercare is about putting people first by listening to our customers, continuous improvement and making our organization a destination for building people’s careers. 

Come and join one of North America's largest home and commercial services and energy solutions companies!   We offer comprehensive benefits, a DC Pension Plan and savings match plan.  If you are passionate about joining an organization committed to delivering 5 Star Customer Service, we would love to hear from you.   

Enercare has embraced a hybrid work environment for the time being as we try different options and technologies to determine what will work best for the future of our people and our organization. Join us with an open mind on the future of work!

Role: Senior Manager, Data Strategy & Analytics
Reports to: Director, Data Strategy & Analytics
Status: Full Time, Regular
Division: Enercare Home and Commercial Services
Location: Birchmount (Markham)

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 lines of business, the Senior Manager, Data Strategy & Analytics will provide leadership and guidance to drive business values, enhance data analytics, understand the complexity of business operations, and help leverage the 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.

Accountabilities:

• 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 documentations 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

Education and Experience:

• 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 data mining
• Master in an analytical discipline such as: mathematics, applied science and engineering, computer science, management analytics, data science preferred