Data Analyst - Global Compliance Data Analytics

Requisition ID: 246959

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

Purpose

The Data Analyst will contribute to the overall success of our team and work closely with business analysts, data scientists and data engineers to address business opportunities. The Data Analyst will have to understand the business needs and requirements to support and enhance our analytics function. The individual has a passion for data, analytics, and crafting business solutions within Compliance.

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Provides technical and analytical expertise in designing and implementing data pipelines.
• Plans and facilitate discussions with business clients to gather business, data source requirements, and use cases to support advanced analytics and modeling.
• Creates dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics.
• Builds and maintains proper documentation, data lineage and extract-transform-load (ETL) processes.
• Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of their 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, and conduct risk.
• Champions a high-performance environment and contributes to an inclusive work environment.
  
  

Education/Experience

• University degree and/or college diploma in relevant STEM discipline (Computer Sciences, Electrical/ Computer/ Software Engineering, Mathematics).
• 2+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g., unstructured logs, XML, JSON, flat files).
• Have hands-on programming experience and advanced knowledge of SQL.
• Experience with agile methodologies, implementing and managing visualization tools such as Power BI, or Tableau.
• Excellent communication skills, with a strong customer-focus.
• Experience with statistical analysis and machine learning with common machine learning libraries in R, Matlab and/or Python.
  
  

Location(s): 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.