Analyst, Digital Data, Global Wealth Management

ScotiabankToronto, ON
Onsite

About The Position

The role of the Analyst, Digital Data, Global Wealth Management (GWM) involves embedding advanced analytics capabilities into the Bank’s wealth digital platforms. You will develop and operationalize data strategies that drive client engagement, improve customer experience, and business growth across GWM channels. You will partner closely with GWM product, digital, advisor platform, and analytics teams to translate data into actionable insights that improve client outcomes, advisor workflows, and strategic decision making.

Requirements

  • A University degree in Business, Finance, or a relevant STEM discipline (Computer Science, Engineering, Mathematics, Statistics) or equivalent practical experience
  • Hands-on experience with data analysis, performance measurement, and stakeholder engagement
  • A strong ability to simplify and communicate complex analytical insights to business and executive audiences
  • A proven ability to clean, transform, and analyze large datasets across multiple formats (e.g., structured, semi-structured, logs, JSON, flat files)
  • Proficiency in SQL and at least one analytical/programming language (Python or R preferred)
  • Working knowledge of data science and analytics libraries (e.g., Pandas, NumPy, scikit learn, Git)
  • Experience working with big data or cloud-based analytics platforms and building large, performant queries
  • Experience with data visualization tools such as Power BI, Tableau, or Qlik
  • A familiarity with digital analytics or behavioral data tools (e.g., Adobe Analytics, Google Analytics, Splunk) applied to digital wealth platforms
  • A foundational understanding of analytical techniques including descriptive and diagnostic analytics, predictive modeling and segmentation and time series and trend analysis
  • Strong project management and collaboration skills
  • Excellent written and verbal communication skills
  • The ability to manage multiple initiatives and priorities in parallel
  • Strong attention to detail and data accuracy
  • A comfort working both independently and collaboratively
  • An analytical, structured, and solution oriented mindset

Nice To Haves

  • Experience or strong familiarity with Wealth Management concepts, such as product and client journeys, products and client segmentation and regulatory and compliance considerations is an asset

Responsibilities

  • Partner with Global Wealth Management product, digital, and advisor platform teams to enable data driven decision making
  • Define and execute analytics strategy and roadmap aligned to GWM digital analytics priorities, including digital footprint across all platforms
  • Measure and analyze performance of wealth digital experiences (e.g., advisor portals, client-facing digital platforms, onboarding and servicing flows)
  • Identify opportunities to improve client experience and advice quality and increase advisor effectiveness and adoption of digital tools
  • Deliver analytics solutions and data products that support client segmentation and personalization, advisor insights and decision support and lifecycle and journey optimization
  • Collaborate with data scientists, data engineers, and platform teams to automate trusted data pipelines and reporting, implement data quality, controls, and monitoring, and ensure analytics solutions are scalable and compliant
  • Communicate insights clearly and effectively to Wealth business leaders, digital partners, and senior stakeholders, translating complex analyses into actionable recommendations
  • Support experimentation (A/B testing, pilots, proofs of value) to validate hypotheses and measure business impact in regulated wealth environments
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