Analyst Advanced Analytics

Found in: Talent CA C2 - 1 week ago

Toronto, Canada Fidelity Investments Full time

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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