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    Advanced Analytics Analyst - Toronto, Canada - Fidelity Investments

    Fidelity Investments
    Fidelity Investments Toronto, Canada

    4 days ago

    Default job background
    Full time
    Description

    Description

    About Us:

    At Fidelity, we've been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we're constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.

    Working with us means you'll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You'll have a wide range of opportunities to grow and develop your career in an inclusive environment where you'll feel valued and supported to be your best - both personally and professionally.

    Role Overview:

    The Business Analytics team within Fidelity Canada ULC's finance department supports various business units and the senior executive team at fulfilling advanced analytical and reporting requirements. In collaboration with IT, the team works with internal clients on augmenting analytics into their operations as well as identifying and communicating significant business trends.

    The Analyst, Advanced Analytics role plans, designs, develops, and deploys reporting and analytics throughout the organization, while objectively evaluating the effectiveness of various sales and marketing activities using appropriate data mining techniques.

    What You Will Do:

  • Marketing, events, sales campaign analysis (AB tests, Pre vs. Post)
  • Support sales and marketing targeted campaigns
  • Participate in customer level analytical/research projects
  • Research and Prototype advanced statistical/AI models
  • Complete ad-hoc requests for analysis, data extraction and information gathering
  • R&D new analytical tools and techniques
  • Augment periodic management reporting
  • Works with tech groups to identify and resolve any data, environment, or implementation issues

    • What We're Looking For:

  • Completion of University degree (Business, Analytics, Math/Statistics or Computer Science related) or equivalent work experience
  • Over 2-3 years of relevant work experience
  • Experience employing various statistical modelling and data analysis techniques, such as linear / logistic regression, decision trees, affinity analysis, clustering/segmentation and time series forecasting
  • Experience deciphering complex data and effectively communicating results to management
  • Demonstrated proficiency with enterprise analytics software (e.g KNIME, Python, R)
  • Experience with business intelligence software (Business Objects, Tableau, Power BI)
  • Experience applying advanced consumer intelligence / marketing techniques
  • Advanced proficiency with Microsoft Excel, Access and PowerPoint

    • The Following are Assets:

  • Knowledge and experience in financial services, with a focus on the investment industry
  • Experience in database design, SQL, VBA and GIS software
  • Experience in Python and R programming
  • Certification in MS Office, SAS, KNIME, Snowflake, Tableau

    • The Expertise You Bring:

  • Ability to communicate quantitative data into a visually engaging story
  • Experience applying advanced consumer intelligence / marketing techniques
  • Experience deciphering complex data and effectively communicating results to stakeholders
  • Excellent time management skills with ability to work in a high performing culture with time sensitive deadlines
  • Solid interpersonal and organizational skills combined with the ability to adapt to rapidly changing business environments
  • Ability to work both independently and as part of a team; a self-starter with a positive attitude
  • Genuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learning
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