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Data Analyst Data Science Manager Business Systems/ Tech Analyst Data Engineer

Senior Power BI Developer to develop advanced analytics; AI​/ML and visualization capabilities our major

Job in Toronto, Ontario, M5A, Canada
Listing for: S.i. Systems
Full Time, Part Time, Contract position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Job Description & How to Apply Below
Position: Senior Power BI Developer to develop advanced analytics (AI/ML) and visualization capabilities with one of our major

Senior Power BI Developer to develop advanced analytics (AI/ML) and visualization capabilities with one of our major banking clients- /

Location Address:
Hybrid
-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 bank’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:

  • Collaborate with stakeholders to develop BI solutions to address operational needs
  • Combine multiple data sources across all contact center platforms and applications to build end-to-end BI products
  • Define metrics / KPIs and develop customer insights models
  • Assist MIS & Data Analytics team with architecture and infrastructure design / development
  • Apply analytics tooling, scripts, and methodologies to find actionable insights, build operations models & frameworks, and provide strategic recommendations
  • Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
  • Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
  • Prepare reports and presentations to communicate findings to stakeholders
  • Assist in coaching / developing / up-skilling peers and direct reports for advanced analytics
  • Streamline, enhance and automate existing products to create capacity for the team to develop new solutions

    • Candidate Requirements/Must Have

    Skills:

  • 7-10+ years of relevant working experience, with 3-5+ years business intelligence, analytics, or data science experience
  • 3-5+ years reporting, UI design, and Power BI solutioning experience
  • 3-5+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, Postgre

    SQL)
  • 1+ years’ experience and understanding of NLP methodologies and tooling
  • 1+ years’ experience with data modelling and database design

    • Nice-To-Have

    Skills:

  • 3-5+ years using python for data analysis and analytics (Pandas, Dask, Numpy, etc)
  • Professional experience with modern ML tooling (Scikit-learn, Xgboost, Tensorflow, Pytorch, Spark ML, etc)
  • 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 Power

    BI as well as SQL for ETL.

    • Candidate Review & Selection – Interview Process

    2 rounds – MS Teams Video Interview – 45 minutes – with HM and product owner

    Case Study component:
    Will be sending a case study ahead of 1st round interview – over 2-3 days, send ahead of interview and then HM will ask questions about it in the interview for 10-15 minutes

    Position Requirements
    10+ Years work experience
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