Data Analyst

Résumé du poste

The Data Analyst will transform complex data into actionable insights to support business strategy and operational excellence. They will collaborate with cross-functional teams to develop dashboards, maintain data integrity, and provide data-driven recommendations.

Détails du poste

Requisition ID: 268731 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. PurposeThe Data Analyst plays a key role in driving data-informed decision-making across Scotiabank by transforming complex data into meaningful insights that support business strategy, operational excellence, and customer outcomes. Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that create measurable impact.Key ResponsibilitiesData Analysis & Insights• Analyze large and complex datasets to identify trends, opportunities, and actionable business insights.• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, Excel, or similar tools.• Translate data into clear recommendations that support strategic and operational decision-making.Stakeholder Collaboration• Partner with business leaders across areas such as Retail Banking, Wealth Management, Risk, and Finance to understand business needs and objectives.• Translate business questions into analytical solutions and data-driven recommendations.• Present findings effectively to both technical and non-technical audiences.Data Quality & Governance• Ensure the accuracy, integrity, and reliability of data used for reporting and analysis.• Support data governance initiatives and adherence to enterprise standards and best practices.• Perform data validation, reconciliation, and quality assurance activities.Advanced Analytics & Innovation• Support predictive analytics, customer segmentation, performance measurement, and business improvement initiatives.• Collaborate with data scientists and engineers on advanced analytics and innovation projects.• Identify opportunities to automate reporting and enhance data processes.What You'll BringTechnical Skills• Strong SQL and data querying skills.• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.• Advanced Excel proficiency.• Experience with Python or R is an asset.• Familiarity with cloud and data warehousing platforms such as Snowflake, Hadoop, GCP, or similar technologies.Core Competencies• Strong analytical and problem-solving abilities.• Excellent communication and data storytelling skills.• High attention to detail and commitment to data accuracy.• Ability to manage competing priorities in a fast-paced environment.• Collaborative mindset with strong stakeholder relationship skills. Education & Experience• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related field.• 2+ years of experience in data analytics, business intelligence, or a related field.• Experience working with large datasets and relational databases.• Financial services, banking, customer analytics, or risk analytics experience is considered an asset.Why Join Scotiabank?• Work on high-impact projects that influence strategic business decisions.• Partner with diverse teams across one of Canada's leading financial institutions.• Gain exposure to modern analytics tools, cloud technologies, and enterprise-scale data environments.• Be part of a team that values innovation, collaboration, and continuous learning.#SWM 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.

Ce que vous ferez

The Data Analyst will transform complex data into actionable insights to support business strategy and operational excellence. They will collaborate with cross-functional teams to develop dashboards, maintain data integrity, and provide data-driven recommendations.

Exigences

Candidates must have a bachelor's degree in a quantitative field and at least 2 years of experience in data analytics or business intelligence. Proficiency in SQL, data visualization tools, and strong analytical problem-solving skills are required.

Avantages

• Professional development • Inclusive work environment • Continuous learning opportunities

Compétences indiquées

• Visualisation de données · Souhaitée
• Power BI · Souhaitée
• SQL · Souhaitée
• Tableau · Souhaitée
• Résolution de problèmes · Souhaitée
• Analyse de données · Souhaitée
• Microsoft Excel · Souhaitée
• Communication · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Data analysis
• Power BI
• Tableau
• Excel
• Python
• R
• Data visualization
• Data governance
• Predictive analytics
• Data storytelling
• Problem-solving
• Communication
• Data warehousing
• Snowflake
• Hadoop
• Customer Segmentation
• Reporting and Analysis
• Influencing Skills
• Influencing Without Authority
• Risk Analytics
• Data Storytelling
• Private Banking
• Advanced Analytics
• Snowflake (Data Warehouse)
• Data Analysis
• American Sign Language (ASL)
• Reconciliation
• Financial Institution
• Business Intelligence
• Commercial Banking
• Dashboard
• Capital Markets
• Decision Making
• Computer Science
• Retail Banking
• Customer Analytics
• Data Validation
• Data Governance
• Data Visualization
• Data Warehousing
• Relational Databases
• Document Formatting
• Finance
• Financial Services
• R (Programming Language)
• Governance
• Apache Hadoop
• Innovation
• Investment Banking

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists