Hybrid Data Analytics Consultant – Optimization & Insights

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 65,000 - 95,000; Part time

Job summary

A leading financial institution in Toronto is seeking a Consultant, Control Optimization & Advanced Analytics. This role involves delivering advanced consulting advice in data analytics, supporting decision-making through analysis. Candidates should have experience in data engineering, proficiency in SQL and Python, and a relevant degree. The position offers a hybrid work environment with opportunities to thrive in their role, ensuring innovative solutions for clients.

Benefits

Competitive compensation

Banking benefit

Wellbeing support

Employee assistance programs

Qualifications

• Experience with data engineering, building ETLs and data products.
• Proficiency with SQL and Python.
• Knowledge of organization's IT environment and business processes.

Responsibilities

• Support delivery of advanced consulting advice in data analytics.
• Perform in-depth analysis of research information and identify opportunities.
• Track progress and conduct analysis of data and reports.

Skills

Data Engineering

SQL

Python

Problem Solving

Communication

Critical Thinking

Data Mining

Education

Degree in a quantitative field (mathematics, statistics, computer science, economics, engineering, physics, business)

Tools

Databricks

Big Data Analytical Tools

Job description

A leading financial institution in Toronto is seeking a Consultant, Control Optimization & Advanced Analytics. This role involves delivering advanced consulting advice in data analytics, supporting decision-making through analysis. Candidates should have experience in data engineering, proficiency in SQL and Python, and a relevant degree. The position offers a hybrid work environment with opportunities to thrive in their role, ensuring innovative solutions for clients.