| Job Description |
A Bank in Downtown Toronto (WFH) is seeking Data Engineer - 3 for a contract of 12 months depending on the start date.
• Business Group: Canadian Retail Analytics
• Project: Multiple projects with the Canadian Retail Analytics team
Candidate Value Proposition
• The successful candidate will have the opportunity to join one of the Top Banks in Canada
Typical Day in Role
• Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
• Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
• Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
• Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.
• Support migration of SAS based data processing workflows to Apache Spark & Python.
• Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
• Build re-usable managed datasets for CBA stakeholders.
• Document existing processes and workflows, and look for opportunities to optimize and automate work stream
|
| Job Requirements |
A Bank in Downtown Toronto (WFH) is seeking Data Engineer - 3 for a contract of 12 months depending on the start date.
• Business Group: Canadian Retail Analytics
• Project: Multiple projects with the Canadian Retail Analytics team
Candidate Value Proposition
• The successful candidate will have the opportunity to join one of the Top Banks in Canada
Typical Day in Role
• Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
• Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
• Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
• Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.
• Support migration of SAS based data processing workflows to Apache Spark & Python.
• Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
• Build re-usable managed datasets for CBA stakeholders.
• Document existing processes and workflows, and look for opportunities to optimize and automate work stream
|