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
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.
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