Data Analyst, CWM Analytics, GWM
- Ottawa, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 2+ years of experience in data analytics, business intelligence, or a related field.
- Posting language
- English
- Posted
Original job description
Requisition ID: 277891
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
The 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 Responsibilities
Data Analysis & Insights
Technical Skills
Location(s): Canada : Ontario : Ottawa
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Purpose
The 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 Responsibilities
Data 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.
- Develop clear and professional PowerPoint presentations to communicate analytical findings, trends, and recommendations to business stakeholders.
- 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.
- Ensure the accuracy, integrity, and reliability of data used for reporting and analysis.
- Perform quality assurance reviews to validate the accuracy and completeness of reports, dashboards, and analytical outputs.
- Apply strong data governance practices to support appropriate data usage, documentation, controls, and adherence to enterprise standards.
- Perform data validation, reconciliation, and quality assurance activities.
- Support data governance initiatives and adherence to enterprise standards and best practices.
- 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.
Technical Skills
- Strong SQL and data querying skills.
- Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- Advanced Excel proficiency.
- Strong proficiency in Microsoft PowerPoint, with the ability to translate data and insights into clear, professional presentations.
- Knowledge of data quality, quality assurance, and data governance principles and practices.
- Experience with Python or R is an asset.
- Familiarity with cloud and data warehousing platforms such as Snowflake, Hadoop, GCP, or similar technologies.
- 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.
- 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.
- This role may be based in either Toronto or Ottawa, Ontario.
- 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.
Location(s): Canada : Ontario : Ottawa
More about this job
Responsibilities
Analyze complex datasets and develop dashboards, reports, and presentations that turn findings into actionable recommendations for business decisions. Collaborate with stakeholders and analytics teams while ensuring data accuracy, governance, and quality, and supporting predictive analytics and process automation.
Requirements
Requires a bachelor's degree in a relevant field and at least two years of experience in data analytics, business intelligence, or a related area. Candidates should have strong SQL, visualization, Excel, and presentation skills, along with knowledge of data quality and governance; Python or R and cloud or data warehousing experience are assets.
Skills
- SQL
- Data Analysis
- Power BI
- Tableau
- Advanced Excel
- Microsoft PowerPoint
- Data Visualization
- Data Quality Assurance
- Data Governance
- Data Validation
- Data Reconciliation
- Predictive Analytics
- Customer Segmentation
- Stakeholder Communication
- Python
- R
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
Keywords
- SQL
- Power BI
- Tableau
- Excel
- Microsoft PowerPoint
- Python
- R
- Snowflake
- Hadoop
- Google Cloud Platform
- Data Analytics
- Business Intelligence
- Data Visualization
- Data Governance
- Data Quality
- Quality Assurance
- Predictive Analytics
- Customer Segmentation
- Performance Measurement
- Data Warehousing
- Relational Databases
- Financial Services
- Banking
- Risk Analytics
- Data Storytelling
- Reporting Automation