Sr. Data Analyst to support Home Financing Product & Campaign Analytics for a large banking cli[...]

Sr. Data Analyst to support Home Financing Product & Campaign Analytics for a large banking client - 70858

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. 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.

Must-Have Skills:

1. 5+ years of data analytics experience
2. Experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS (certified), R, Python, PowerBI, PowerPoint.
3. Understanding of measurement techniques (a/b testing, treatment control framework)
4. Data mining, data storytelling, decision trees, and data visualization

Nice To Have Skills:

1. Previous knowledge of home financing, HELOC’s, mortgages (particularly in banking setting)

Job Responsibilities:

1. Acts as a trusted advisor to assigned business/group.
2. Leads the design, development, and implementation of analytic solutions.
3. Identifies emerging issues and trends to inform decision-making.
4. Recommends and implements solutions based on analysis of issues and implications for the business.
5. Ensures alignment between stakeholders about business needs and data needs.
6. Leads/participates in the design, implementation, and management of new analytics & reporting solutions.
7. Designs, develops, and implements innovative analytical solutions.
8. Designs and produces regular and ad-hoc reports, and dashboards.
9. Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
10. Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
11. Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
12. Automates validation tests to improve quality and efficiency of the validation process.
13. Validates and tests models used in analytics and reporting to assess/address performance and compliance.
14. Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
15. Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
16. Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
17. Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
18. Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
19. Analyzes data and information to provide subject-matter insights and recommendations.
20. 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.
21. Documents and maintains operational procedures and processes relating to analytical and reporting processes.
22. Broader work or accountabilities may be assigned as needed.