Data Analyst - Private Equity

Our client is a highly regarded Canadian private equity firm, managing approximately $10 Billion of capital on behalf of sophisticated institutional investors from around the world.

We are seeking to hire a talented individual as a Data Analyst on the Portfolio Support team. The role will support critical projects across investment due diligence, ownership value creation and sourcing, among others; all of which are critically important aspects of acquiring and owning businesses. The individual will report to the Senior Vice President and Head of Portfolio Support and will be a critical member of the Portfolio Support team.

The successful candidate will have at least 2-4 years of experience driving major analytic efforts in some mix of consulting and industry. This is an exciting opportunity for a driven and motivated individual to take on a highly impactful role in helping to build the firm as it embarks upon the next chapter in its growth. It will also be an excellent opportunity to help advance the firm's overall strategy and approach for data and analytics.

Responsibilities

Develop and maintain dashboards, reports, and data visualizations to support portfolio company leadership and other stakeholders to make data driven decisions (e.g., performance management, optimization)

Use advanced analytical techniques to support value creation projects in the firm’s portfolio companies

Leverage third-party data to help identify sector themes and actionable investment opportunities

Drive advanced analytics to support due diligence as required to support investment decisions (e.g., identify risks, value creation opportunities)

Stay up to date with industry trends and developments to identify opportunities for improved data management processes and methodologies

Communicate complex data findings to non-technical stakeholders in a clear and concise manner

Qualifications

Bachelor’s Degree in technical field (e.g., Computer Science, Mathematics, Statistics, Finance, or Engineering) from an academically rigorous program

2+ years working in data analysis or a related field

Experience working with both structured and unstructured big data for exploration / driving insights (e.g., churn modelling, LTV modelling, association rules, segmentation, etc.)

Experience with creating clear and effective visualizations of large datasets

Experience with key analytical tools: must have Tableau & PowerBI experience, nice to have Qlikview

Knowledge of programming and querying languages: with priority being Python, and second priority being R / SQL

A strong interest in analytical methodologies and desire to translate insights into business results

Team-oriented, with a commitment to shared success above personal accomplishment

Excellent communication skills with the ability to present complex data findings to non-technical stakeholders