Job Title: Senior Analyst, Home Financing Product & Campaign Analytics

Location: Toronto, ON (Hybrid • 2 days/week onsite. Mondays and Wednesdays preferred)

Duration: 12 months

Contract Type: T4 only

Pay Rate: CA$51.72/Hour

Role Mandate:

• The selected candidates will consult on analytical solutions to understand, analyze, and synthesize requirements, goals, and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

• Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions.

• Supports the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of sophisticated decision support tools.

Role Responsibilities Include (but are not limited to):

• Acts as a trusted advisor to assigned business/group.

• Leads the design, development, and implementation of analytic solutions.

• Identifies emerging issues and trends to inform decision-making.

• Recommends and implements solutions based on analysis of issues and implications for the business

• Ensures alignment between stakeholders about business needs and data needs.

• Leads/participates in the design, implementation, and management of new analytics & reporting solutions.

• Designs, develops, and implements innovative analytical solutions.

• Designs and produces regular and ad-hoc reports, and dashboards.

• Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

• Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

• Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.

• Automates validation tests to improve quality and efficiency of the validation process.

• Validates and tests models used in analytics and reporting to assess/address performance and compliance.

• Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.

• Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

• Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

• Designs, develops, and implements innovative analytical solutions.

• Designs and produces regular and ad-hoc reports, and dashboards.

• Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

• Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

• Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

• Analyzes data and information to provide subject-matter insights and recommendations.

• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

• Documents and maintain operational procedures and processes relating to analytical and reporting processes.

• Builds effective relationships with internal/external stakeholders.

• Collaborates with internal and external stakeholders to deliver on business objectives.

• Provides specialized consulting, analytical and technical support.

Must-Have Skills:

• 5+ years of relevant data analytics experience

• Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS (certified), R, Python, PowerBI, PowerPoint.

• Verbal & written communication skills - In-depth.

• Relevant degree (stats, data, analytics) preferred.

• Advanced product knowledge for the designated business / portfolio.

• Deep knowledge and technical proficiency gained through extensive education and business experience.

• Collaboration & team skills - In-depth.

• Analytical and problem-solving skills - In-depth.

• Influence skills - In-depth.

• Data driven decision making - In-depth.

• Understanding of measurement techniques (a/b testing, treatment control framework)

• Data mining, data storytelling and data visualization

Nice To Haves:

• Previous knowledge of home financing, HELOC’s, mortgages (particularly in banking setting) a strong asset

• RESL analytics experience would be a definite asset.

• Previous banking experience

• Previous experience in leading projects

Education:

• Post secondary - Business, Economics, Computer Science, Finance