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About the Role

The Senior 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. The Advanced Analytics team supports various business units and the senior executive team with advanced analytical solutions to support decision making.

Responsibilities

Works with key stakeholders to understand the business problem and translate it into appropriate analytics solution.
Engages with key stakeholders for smooth execution, delivery and implementation of solutions.
Balance interests and negotiate solutions that drive consensus while supporting business objectives.
Hands-on experience with statistical modelling techniques using python.
Marketing, events, sales campaign analysis (AB tests, Pre vs. Post, Journey orchestration).
Evaluates and develops advanced tools, methodologies or infrastructure to support long-term business problems and take the group to the next level.
Works with tech teams to bring models to production and to identify and resolve any data, environment, or implementation issues.
Understanding of agile development and model development lifecycle, familiarity with CI/CD pipelines.
Research and prototype AI/ML Solutions, development of emerging analytics techniques.
Storytelling with the help of visualization tools (Tableau, PowerBI etc.) and enhance existing data visualization capabilities for Sales, Marketing & Leadership team.
Data engineering, Ad-hoc data management and periodic reporting.
Sharing of knowledge, best practices with the team including coaching or training in AI/ML 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 minimal support.
Centralized analytics expertise reduces redundancies and maintains consistent impartial messaging to management.

Requirements

3-5 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.
University degree (Engineering, Math/Statistics or Computer Science related) or equivalent work experience.
Experience deciphering complex data and effectively communicating results to stakeholders.
Enjoy building solutions and are comfortable writing codes and using analytical tools such as Knime.
Experience with visualization software (Tableau, Power BI), Python and SQL.
Experience applying advanced consumer intelligence / marketing techniques.
Advanced proficiency with Microsoft Excel, Access and PowerPoint.
Knowledge and experience in financial services, with a focus on the investment industry.
Experience in Adobe Stack, digital analytics, marketing and advertising.
Certification in KNIME, SAS or SPSS, Snowflake, Tableau.
Experience in working with APIs and real time data connectivity to various service providers.
Knowledge of Gen AI/LLM/NLP.
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 self-starter with a positive attitude.
Genuine interest in capital markets, financial industry, banking, future state of technology like artificial intelligence & machine learning.
Advanced proficiency with Microsoft Excel, SQL and PowerPoint.

Skills

Python
Tableau
Power BI
SQL
Microsoft Excel
Microsoft Access
Microsoft PowerPoint
Knime
Adobe Stack
Digital Analytics
Marketing Analytics
Advertising Analytics
APIs
Real-time data connectivity
Gen AI
LLM
NLP
Statistical modelling
Data analysis
Linear regression
Logistic regression
Decision trees
Affinity analysis
Clustering
Segmentation
Time series forecasting

Location

483 Bay Street in Toronto
3 Robert Speck Parkway in Mississauga

Work Type

Full-time
Hybrid

Experience Level

3-5 years

Education Level

University degree (Engineering, Math/Statistics or Computer Science related) or equivalent work experience

Salary/Compensations

$129,000 to $140,000

Benefits

Competitive compensation package
RRSP Contribution (after 6 months of employment, no employee matching required)
Flexible working arrangements
Comprehensive health benefits (starts on first day, 100% employer-paid premiums)
Up to $6000 annually for mental health services and therapy
Parental leave top-up to 100% of salary for 25 weeks
Up to $650 for home office equipment
Generous time off policy
2 paid days annually to volunteer at a charity of choice
Diversity and inclusion programs
Employee Resource Groups
Extensive professional development opportunities
Access to over 11,000 training and development courses
Tuition reimbursement
Monetary rewards for completing a required designation

About the Company

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.
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.
We are proud to have been named one of Canada’s Top 100 employers for the last five years.
We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process. Every hiring decision is reviewed and finalized by our recruiters.
Fidelity Canada is committed to fostering a diverse and inclusive workplace.
Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process.
We are proud to be recipients of the following awards: Canada's Top 100 Employers, Greater Toronto's Top Employers, Canada's Top Family-Friendly Employers, Canada's Top Employers for Young People, Great Place To Work® Certified (including Best Workplaces for Inclusion, Mental Wellness, Today's Youth, Women, Financial Services & Insurance, Ontario, Most Trusted Executive Teams), LinkedIn Top Companies in Canada, Human Resource Director (HRD) - Best Place To Work (including 5-Star Benefit Program, 5-Star Diversity & Inclusion Employer).
Designations include: Canadian Compassionate Companies – Certified, Benefits Canada's Workplace Benefits Award - Future of Work Strategy, TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting, Canadian HR Reporter's Most Innovative HR Team.

Equal Opportunity

Fidelity Canada is an equal opportunity employer.
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 legally-protected ground.
Accommodations are available on request for candidates taking part in the selection process.