drjobs Senior Analyst Advanced Analytics

Senior Analyst Advanced Analytics

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Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description

Note that this is a fixedterm contract position ending on June 26 2026.

About Us:

At Fidelity weve 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 were 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 youll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. Youll have a wide range of opportunities to grow and develop your career in an inclusive environment where youll feel valued and supported to be your best both personally and professionally.

Business Overview:

The Business Analytics team within Fidelity Canada ULCs finance department supports various business units and the senior executive team with advanced analytical solutions to support decision making. In collaboration with IT the team works with internal clients on leveraging data establishing patterns and customer journeys as well as identifying and communicating significant business trends.

The Sr. Analyst Advanced Analytics role plans designs develops and deploys analytical solutions throughout the organization while objectively evaluating the effectiveness of various sales and marketing activities using various data mining techniques.

What You Will Do:

Stakeholder Management 1020

  • Works with key stakeholders to understand the business problem and translate it into appropriate analytics solution.
  • Engages with key stakeholders for smooth delivery and implementation of solutions

Developing and Delivering Solutions 4050

  • Works independently on complex analyses using machine learning and statistical modelling techniques while leveraging both open source (R/Python JupyterHub) and proprietary tools (KNIME RapidMiner)
  • Marketing events sales campaign analysis (AB tests Pre vs. Post)
  • Research and Prototype advanced statistical/AI models.
  • Works with tech groups to bring models to production and to identify and resolve any data environment or implementation issues.
  • Story telling with the help visualization tools (Powerpoint Tableau PowerBI RShiny etc.
  • Enhance existing data visualization capabilities for Sales Marketing Leadership team
  • Develop flexible backend and frontend systems to support the modelling data visualization and analytics solutions.
  • Machine Learning / Statistics Oriented Analytical Support

    Time series regression affinity clustering & decision tree model development

    Research and development of emerging analytics techniques (e.g. deep learning / natural language processing)

    Understanding of agile development and model development lifecycle

  • Date engineering Adhoc data management and periodic reporting

Collaboration and Ownership 510

  • Sharing of knowledge best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring coaching and consulting advice and guidance to staff e.g. analytic methodologies data recommendations.
  • Takes complete independent ownership of the projects and the initiatives in the team with the minimal support.
  • Centralized analytics expertise reduces redundancies and maintains consistent impartial messaging to management.

Developing/evaluating tools methodologies or infrastructure: 2530

  • Evaluates/develops advance tools methodologies or infrastructure to support longterm business problems and take the group to the next level e.g. modelling software modelling methodologies data and system requirements scoring process optimization environment.
  • Accelerate Development of AI/ML Solutions: Research of all new and existing AWS platform data science solutions (e.g. proprietary voice image translation and documentation analysis)

What We Are Looking For:

  • 35 years of 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 stakeholders.
  • Experience in Marketing and digital analytics using Adobe Stack Marketo Google Analytics
  • Demonstrated proficiency with enterprise data mining tools like SAS RapidMiner KNIME Alteryx
  • Experience with business intelligence software (Tableau PowerBI Business Objects Cognos etc.
  • Experience applying advanced consumer intelligence / marketing techniques.

The Expertise You Bring:

  • Ability to communicate quantitative data into a visually engaging story.
  • 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 selfstarter with a positive attitude.
  • Genuine interest in capital markets financial industry banking future state of technology like artificial intelligence & machine learning
  • University degree (Business Analytics Math/Statistics or Computer Science related)
  • Advanced proficiency with Microsoft Excel SQL and PowerPoint

The following are assets.

  • Knowledge and experience in financial services with a focus on the investment industry
  • Graduate degree in statistics mathematics or computer science
  • Experience in Adobe Analytics digital analytics marketing and advertising
  • Certification in KNIME RapidMiner SAS or SPSS Snowflake Tableau
  • Experience in working with APIs and real time data connectivity to various service providers.

Note that this is a fixedterm contract position ending on June 26 2026.

You will be working on a predefined hybrid schedule as part of Fidelitys dynamic working arrangement.

Current work authorization for Canada is required for all openings.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race color religion sex sexual orientation gender identity or expression national or ethnic origin age disability family status protected veterans status Aboriginal/Native American status or any other legallyprotected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation please email us at .

No telephone inquiries or agencies please. We thank all applicants for their interest please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity

We are proud to be recipients of the following:

Awards

Canadas Top 100 Employers
o Greater Torontos Top Employers
o Canadas Top FamilyFriendly Employers
o Canadas Top Employers for Young People

Great Place To Work Certified
o Best Workplaces for Inclusion
o Best Workplaces for Mental Wellness
o Best Workplaces for Todays Youth
o Best Workplaces for Women
o Best Workplaces in Financial Services & Insurance
o Best Workplaces in Ontario
o Best Workplaces with Most Trusted Executive Teams

LinkedIn Top Companies in Canada

Human Resource Director (HRD) Best Place To Work
o HRD 5Star Benefit Program
o HRD 5Star Diversity & Inclusion Employer

Designations
Canadian Compassionate Companies Certified
Benefits Canadas Workplace Benefits Award Future of Work Strategy
TalentEgg National Recruitment Excellence Award Special Award for Diversity & Inclusion in Recruiting
Canadian HR Reporters Most Innovative HR Team


Required Experience:

Senior IC

Employment Type

Full-Time

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