Data Analyst

Location Address : Hybrid - 100 Yonge Street 5th Floor, Toronto –2-3 days / week (Wednesday is team day, others are flexible)

Subject to change : 3–4 days onsite may be required based on business needs

Contract Duration : 12 months

Schedule Hours : 9am-5pm Monday-Friday;standard 37.5 hrs / week

Story Behind the Need

Business group : Performance Steering, SFE & Insights –technical team supports reporting for Canadian Contact Centers (online) and for the branches and to executives in the Org –6 people on this team

Project :

The purpose of this role is to support the Senior Manager of MIS and Data Analytics at

• ’s Global Contact Centres in developing advanced analytics (AI / ML) and visualization capabilities. The primary focus of the role is to work with the Customer Insights & Analytics Team and the Global Data & Analytics Team in conducting analyses, and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure. Main responsibilities : Rolling out a new application, Focused on standing up processes and reports

Typical Day in Role :

Candidate Value Proposition :

The successful candidate will join one of Canada’s top-performing Power BI development teams—recognized for excellence and multiple wins in national data visualization competitions. This role offers exceptional opportunities for growth in analytics, reporting, and visualization.

You will also gain hands-on experience with Genesys, an innovative speech analytics platform, and contribute to pioneering work as

Candidate Requirements / Must Have Skills :

1) 7+ years of relevant working experience, with 3+ years business intelligence, analytics, or data science experience

2) 3+ years reporting, UI design, and Power BI solutioning experience

3) 3+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)

4) 1+ years’experience and understanding of NLP methodologies and tooling

5) 1+ years’experience with data modelling and database design

Nice-To-Have Skills :

1) 3+ years using python for data analysis and analytics (Pandas, Dask, Numpy, etc)

2) Professional experience with modern ML tooling (Scikit-learn, Xgboost, Tensorflow, Pytorch, Spark ML, etc)

3) Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset

Education :

University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience

Best VS. Average Candidate :

Ideal candidate –how they sell their impact of their past projects - technical skillsets –Must have skills #2 and #3 are most critical, need a strong Data Analyst who can solution and has advanced skillset with PowerBI as well as SQL for ETL.