Decision Scientist, Canadian Wealth Management Analytics (12-month contract)

Ottawa, ON, CA, K1G6R7

Apply now Apply later

 

 

 

Requisition ID: 227881

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

Purpose

The Decision Scientist is an integral member of the Decision Science team under the broader direction of the Canadian Wealth Management Analytics team.

 

The Decision Scientist will collaborate with members of the Decision Science team, the Enterprise Data Warehouse, and various operational groups across the business to deliver end-to-end analytical products.  This role will be accountable for gathering requirements, determining most appropriate solution(s), and developing custom data sources and/or visualizations.  This role also actively pursues a deeper understanding of key business drivers and will be encouraged to explore creative strategies to drive success across the enterprise.

 

We are a dynamic, technical, highly involved team of data professionals who love what we do! If you are a strong communicator with great interpersonal skills, have hands-on experience with data analytics, and enjoy learning both new business and technical concepts, consider joining us! 

 

 

Accountabilities 

  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Leads the creation and maintenance of compelling data visualizations and dashboards to deliver insights about the business.
  • Works directly with stakeholders and senior management to understand their business problems and drives enterprise action through reporting and data automation tools.
  • Answers complex analytical questions in an intuitive and understandable way, and confidently communicates the results to a variety of audiences.
  • Masters our business and data environment to become an expert problem-solver using advanced data modeling techniques.
  • Manages crucial aspects of organizational data quality, contributes to data documentation, quality assurance, and sharing of best practices across the enterprise.
  • Understands how MD’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

Dimensions

  • Develops, owns and maintains enterprise dashboards and data processes.
  • Supports all MD lines of business within Canadian Wealth.

 

Education / Experience

  • An undergraduate degree in a related field: Economics, Statistics, Business, Computer Science, Statistics, or equivalent work experience.
  • 2-4 years of analytics experience: skilled at using data to answer complex problems and can demonstrate this.
  • 3+ years of business experience relating data to business operations and understanding the link between business goals, corporate results and KPIs.
  • Experience working with complex data across a variety of data sources, such as relational databases, data warehouses, text files, and web data (APIs).
  • Experience presenting and communicating results to a variety of audiences.
  • Experience translating complex requirements into clear, concise, and actionable strategies.
  • Expert ability to manipulate data and create compelling visuals or analyses using tools such as Tableau, Alteryx, PowerBI, Python/R, etc.
  • Demonstrated ability to prioritize/communicate conflicting demands in a fast-paced environment.

                                                                                                                      

Working Conditions

  • Work in a standard office-based environment; Hybrid Ottawa or Toronto

 

Location(s):  Canada : Ontario : Ottawa || Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0

Tags: APIs Banking Computer Science Data Analytics Data quality Data warehouse Economics KPIs Power BI Python R RDBMS Statistics Tableau

Region: North America
Country: Canada

More jobs like this