Senior Data Analyst, Home Financing Product & Campaign Analytics - 72538

Senior Data Analyst, Home Financing Product & Campaign Analytics

• 72538 LOB: Home Financing Duration: 12 months (Possibility of extension) Location: Downtown Toronto
• Hybrid (2 days in office/wk, Mondays/Wednesdays preferred) 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.

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.

• 5+ years of relevant data analytics experience
• Advanced product knowledge for the designated business / portfolio.
• Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS (certified), R, Python, PowerBI, PowerPoint.
• Understanding of measurement techniques (a/b testing, treatment control framework)
• Data mining, data storytelling and data visualization
• Verbal & written communication skills
• Analytical and problem-solving skills
• Data driven decision making Nice To Have Skills:
• Relevant degree (stats, data, analytics) preferred.
• Previous knowledge of home financing, HELOC’s, mortgages (particularly in banking setting) a strong asset
• RESL analytics experience would be a definite asset.

• 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.

• 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.
• Focus is primarily on business/group; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

• up to 90min in person interview/technical assessment with HM and Senior team member Second Round
• 30min in person interview with HM’s one-up Interview format will consist of behavioral/situational and technical assessments on SQL/SAS/Stats and Decision Trees Apply