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.
Role : Analyst, Data Strategy & Operations
Reports to : Senior Manager, Data Strategy & Operations
Status : Full Time, Regular
Division : Enercare Home and Commercial Services
Location : Birchmount (Markham)
Reporting to Senior Manager, Data Strategy & Operations, you will play a key role in a highly visible team within the organization to advance our business as we execute our data strategy.
This is a great opportunity for an individual with a passion for using data to drive insights, presenting key learnings and delivering transformational outcomes to our business.
You are an inquisitive and intellectually curious individual with advanced analytics experience, excellent communications skills, good business acumen and effective change leadership.
With an agile-mindset, you are obsessed with data quality, pragmatic algorithms, as well as enjoy learning our business and operations with a go-and-see approach.
Identify and translate data into descriptive or predictive models with actionable insights by performing data cleansing and feature selection effectively as well as developing algorithm with optimized computational cost
Design and perform extensive statistical analyses to seek opportunities to improve current operations and financial modelling accuracy
Develop A / B testing framework and test model quality
Create and maintain interactive data visualization through data interpretation and analyses, integrating various reporting components from multiple data sources
Build scenario simulation and other data visualization tools to inform business and operational decision-making processes
Monitor performance of released data products of the team and ensure their timely refresh and re-training as appropriate
Ensure data products and codes released by the team all have completed and up-to-date documentations available to internal stakeholders
Support and enhance of existing reports and dashboards based on evolving business needs
Assess the effectiveness and accuracy of new data sources and data wrangling techniques
Support ad-hoc analyses with decision-grade quality
Assist in facilitating hands-on sessions in prioritizing user-stories, designing analytical approaches, running experiments, and assessing data product performance
Prepare compelling, meaningful and memorable messaging and presentations to address business questions (both written and verbal)
Have an open mind and a knack to collaborate effectively across internal and external partners to further capitalize on data assets
Handle ambiguity and apply first principles with structured approaches to solving problems
Apply 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
Bachelor degree with exceptional academic standing, and / or master degree(s) in an analytical discipline such as : mathematics, applied science and engineering, physics, computer science, management analytics, data science
2+ years of professional experience in analytics or other quantitative disciplines
2+ years in VBA, SQL and Python
Experience in modeling and analysis including machine learning, statistical analysis, operations research, management science and data mining
Experience in problem solving and analytical skills to develop creative, unique and pragmatic approaches and solutions to address complex problems
Proven analytical and quantitative skills to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
Technology experience in one or more of the following : Python, SQL, VBA, Scala, R, MATLAB, C / C++ / C#, Java, Go, Tensorflow, Julia;
Data visualization tools such as MS SSRS, Microstrategy, Tableau, Qlikview, Power BI, D3, SAP BO Web Intelligence / Lumira, Apache Dash;
NoSQL databases such as Hbase, Cassandra, MongoDB, Redis; Cloud services platform (e.g, Azure, AWS) and analytics tools (e.
g, Databricks, Snowflake)
Business domain knowledge in one or more of the following : Sales and Marketing, Product Development and Product Management, Call Center Operations, Billing and Collections, Field, Fleet and Supply Chain Operations
Interest in staying current on emerging trends in software development, RPA and advanced analytics
Experience in API design and development is a plus
Experience cleaning, transforming and visualizing large data sets working with various data formats such as unstructured logs, XML, JSON, flat files, audio, image is a plus
Experience developing and using virtualization, container-based and cloud platforms such as
Experience in SFDC (Salesforce), Microsoft Dynamics, Click, and / or JIRA is a plus
Excellent oral and written communications skills
Experience working in a start-up environment is a plus
Enercare’s recruitment process includes accommodation for applicants with disabilities. All accommodations will take into account the applicant’s accessibility needs due to disability and are available upon request.
Pay Type Salary