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Analyst, Advanced Analytics

Fidelity Canada
Toronto, CAN
Full-time
Entry
Hybrid
$75,000 to $95,000,
Discovered 1 months ago
Statistical modellingData analysisLinear regressionLogistic regressionDecision treesClustering and segmentation

Full Job Posting

Role Overview

The Advanced Analytics team supports business units and senior executives with advanced analytics and reporting requirements.

The role plans, designs, develops, and deploys reporting and analytics across the organization.

The role evaluates sales and marketing activity using data mining techniques.

How You'll Make an Impact

  • Analyze marketing, event, and sales campaigns using A/B tests and pre/post analysis.
  • Support targeted sales and marketing campaigns.
  • Participate in customer-level analytical and research projects.
  • Research and prototype advanced statistical and AI models.
  • Complete ad hoc analysis, data extraction, and information-gathering requests.
  • Research and develop new analytical tools and techniques.
  • Augment periodic management reporting.
  • Work with technology groups to resolve data, environment, and implementation issues.

What We're Looking For

  • University degree in engineering, mathematics/statistics, computer science, or equivalent work experience.
  • More than 2–3 years of relevant work experience.
  • Experience with statistical modelling and data analysis techniques, including regression, decision trees, clustering, and forecasting.
  • Ability to interpret complex data and communicate results to management.
  • Comfort writing code and using analytical tools such as KNIME.
  • Experience with Tableau, Power BI, Python, and SQL.
  • Experience with advanced consumer intelligence and marketing techniques.
  • Advanced proficiency in Excel, Access, and PowerPoint.

Additional Expertise

  • Communicate quantitative data through visually engaging stories.
  • Manage time-sensitive deadlines in a high-performing environment.
  • Work independently and collaboratively while adapting to changing business environments.
  • Interest in capital markets, financial services, banking, AI, and machine learning.

Assets

  • Financial services or investment industry knowledge and experience are assets.
  • Data pipeline design and GIS software experience are assets.
  • Experience developing and maintaining Python models is an asset.
  • MS Office, SAS, KNIME, Snowflake, or Tableau certification is an asset.

Compensation

  • Competitive annual base salary range of $75,000 to $95,000, based on experience and qualifications.
  • Discretionary performance bonus is included in total rewards.
  • RRSP contribution begins after six months of employment.

Work Arrangement

  • This is a regular full-time role with a flexible hybrid schedule.
  • The role is based at 483 Bay Street in Toronto until approximately late 2026, then moves to 3 Robert Speck Parkway in Mississauga.

Benefits

  • Benefits include health coverage, parental leave top-up, home office equipment support, paid volunteer days, professional development, and flexible work options.

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