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BNSJP00032951-Data Engineer - 3

Ref: CA_EN_6_919740_1528751

Posted on 05 February 2024
Location
Toronto, Ontario
Contract Type
Temporary/Contract

Location Address: 11 Adelaide Street W 5th Floor hybrid – 2 times in the office per week max

Contract Duration: Feb 19th - Jun 30 2024 8 months with possibility of extension or conversion to FTE depending on performance

Number of Positions: 1

Schedule Hours: 8:30am – 4:30pm Monday-Friday (No Overtime)

Max BNS rate: $70.74 - No rates above max rate allowed

Reason: Extra support for a new project

Story Behind the Need

Business group: MIS, Reporting & Data Analytics (OU20018661)

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

Project: CBCC Optimization – Enhances on the offers, IVR and segmentation analysis of the customers

Candidate Value Proposition:

The successful candidate will have the opportunity to work with Senior Managers of MIS and Data Analytics at Scotiabank’s Global Contact Centres in developing advanced analytics projects (AI / ML) and visualization capabilities.

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:

  • 5+ years of business intelligence, analytics, data science and development skills
  • 5+ years of reporting, UI design, and BI solutions
  • 5+ years using Python for data analysis and analytics (Pandas, Dask, Numpy, etc..)
  • 5+ years using SQL for ETL extract transform and load and data analysis, flexibility on syntax (SQL server, PostgreSQL)
  • 5+ years of experience in Power BI, Tableau, or any other visualization software

Nice-To-Have Skills:

  • Experience with cloud architecture (Azure, AWS, GCP) an asset
  • Contact center experience an asset
  • Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
  • Experience with Docker, CI/CD tools, and Airflow and Kubernetes an asset

Soft Skills Required:

  • Communication skills
  • Organization skills
  • Time management skills
  • Team Player
  • Fast learner and taking initiative of own training speed
  • Positive Attitude

Best VS. Average Candidate:

The best candidate will have strong data visualization skills and be detail-oriented.

Education & Certificates:

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

Candidate review and selection:

1 round interview – 30 - mins MS Teams Video – Hiring manager and product manager or data architect.

Behavioral questions and previous experience, skills, and knowledge questions.

2 Round 30 - mins MS Teams Video – Hiring manager and Director Behavioural questions and previous experience, skills, and knowledge questions.


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