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
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