First seen by our source: 3 hours ago
Data Analyst, CWM Analytics, GWM
@ Scotia Wealth Management
Ottawa, Ontario
SIGNALS
Overview
Scotia Wealth Management is hiring a full-time Data Analyst for its CWM Analytics team, based in Toronto or Ottawa, Ontario. The role turns complex data into insights and recommendations for Retail Banking, Wealth Management, Risk and Finance, and builds dashboards, reports and presentations. The posting asks for 2+ years of analytics or BI experience, a bachelor's degree, and strong SQL and visualization skills.
Responsibilities:
- Analyze large datasets to produce business insights
- Build dashboards and reports in Power BI, Tableau or Excel
- Present findings to technical and non-technical stakeholders
- Validate data quality and support governance standards
- Automate reporting and support advanced analytics projects
Requirements summary:
- Bachelor's degree in analytics, statistics, math, computer science, finance or related field
- 2+ years in data analytics or business intelligence
- Strong SQL and relational database skills
- Power BI, Tableau or similar visualization tools
- Advanced Excel and PowerPoint skills
- Financial services or risk analytics experience is an asset
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Data & analytics |
| Experience | 2+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Data Analytics, Statistics, Mathematics, Computer Science, Finance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Scotia Wealth Management
| Field | Value |
|---|---|
| Open jobs on Jobsy | 2 |
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
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