Hybrid Business Intelligence and Data Analytics Co-op

Posted last month

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About the role

  • Collaborate with consulting team to conduct in-depth analyses for management using financial and business data
  • Data extraction from various systems (accounting, operational, HR, web databases) using extraction tools, custom coding, API connectors, and other techniques
  • Mine, analyze, and model large datasets to help define the structure of the database
  • Develop custom data warehouses and algorithms to apply to data sets
  • Comprehensive data manipulations and transformations using SQL to clean and re-organize data sets
  • Use predictive modeling to assist in estimating revenue generation and other business outcomes
  • Prepare outputs for business reporting packages, financial dashboards, and operational performance trackers using data visualization tools
  • Develop financial analyses / data analyses providing actionable insight to management through spreadsheets
  • Assist with proposals, marketing material development, writing of white papers and blogs, and dissemination of marketing materials (emails, webinars) as required
  • Play a large role in a small team and support client deliverables

Requirements

  • 2nd year students and above enrolled in a science, comp-sci, engineering, or business program
  • Shown an interest in business intelligence and data analytics
  • Experience using programming languages (C#, R, Python, or other languages) to manipulate data and draw insights from large data sets
  • Understanding of relational databases and hands-on experience with MySQL and/or SQL
  • Hands-on experience with Excel Lookup functions, Pivots, VBA Macros
  • Experience in data visualization tools such as Power BI or Tableau is a strong differentiator
  • Intellectual curiosity and passion for learning about new industries and new businesses
  • Ability to take ownership of responsibilities and see them through to completion
  • Ability to work independently and manage time and multiple tasks / deadlines / deliverables at once
  • Strong dedication to the team and excellent work ethic, enthusiasm about going above and beyond to ensure our clients achieve their business goals
  • Application materials: Resume, Transcripts, Portfolio with business intelligence and data analytics applications

Benefits

  • Hybrid work model (in-office Tuesdays and Wednesdays, balance at home)
  • Hands-on experience with client and business development
  • Opportunity to deepen and widen data analytics and modelling skills
  • Exposure to mid-market companies, private equity firms, investment banks and other clients across North America
  • 4-month co-op placements with Jan/May/Sep 2026 start dates
  • 40 hours per week

Job title

Business Intelligence and Data Analytics Co-op

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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