Data Analyst / Modeler

Responsibilities:

• Work with business users to obtain data requirements and analyze source systems data.
• Design and develop conceptual, logical and physical data models for the operational and analytical data models.
• Work closely with the technical and application architects, and developers to implement the data architecture and application solution.
• Communicate physical database designs to, and work with, database administrator to implement databases.
• Document data flows, identify appropriate data sources, entities, relationships and redundancies.
• Manage data integrity and data quality.
• Maintain technical & business metadata. Generate metadata for Hadoop ingestion for different ingestion frameworks.
• Design data structures and document data meanings, definitions and intended use, work with various departments/leaders and data stewards to make the “metadata” available.
• Define and document the data architecture for operational databases, reporting and provisioning platforms, including the physical components and their functionality.
• Support data strategies, standards, guidelines data quality process and governance across the enterprise.
• Provide leadership in researching and architecting emerging technology solutions to meet business strategies and objectives.

Skills:

• Relational and dimensional data modeling and database design, Erwin (Data modeling) skills.
• Strong SQL, Python and some spark knowledge. Hands on Hive (Hadoop) experience.
• Knowledge of data architectural approaches, patterns and emerging technologies (RDBMS, Hadoop and Cloud).
• Exposure and knowledge of Cloud platforms, cloud architecture, capabilities and processes like GCP, Azure is great asset.
• Ability to translate business needs into technical solutions. Strong Analytical skills.
• Experience creating architecture and strategy artifacts.
• Experience of XML, JSON, Copybook, CSV files ingestion.
• Experience working in Agile environment.
• Knowledge of Data Governance process for metadata and lineage management is strong asset. Exposure to any Data Governance tools like IGC, Collibra is an asset.
• Domain Knowledge in financial Services and enterprise functions is strong asset.
• Knowledge of database administration, database performance tuning, source & target data structures, ETL processes & products.
• Bachelor’s Degree, or diploma in computer engineering or information science.

Benefits:

• 💼 Diversity, Equity, Inclusion & Allyship
• 💻 Accessibility and Workplace Accommodations
• 📚 Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• 🌍 Community Engagement

Qualifications:

• Bachelor’s Degree, or diploma in computer engineering or information science.

Company Overview:

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.