Manager, Data & Analytics

Key Responsibilities:

• Lead the data analytics and reporting team, providing guidance and support to team members to ensure the delivery of high-quality analytics projects.
• Implement data analytics strategies to support business goals and objectives that are crucial for driving data-driven decision making.
• Collaborate with cross-functional teams, including Investment Finance & Valuations, other Finance departments, Data & Technology and Investment Teams to identify data needs and deliver actionable insights.
• Oversee the collection, definition, analysis and interpretation of datasets, and manage the design, development and maintenance of data models, data platforms, and reports.
• Implement best practices across all data management and analytics processes to ensure data accuracy, integrity, quality, and reliability.
• Present findings and recommendations to senior management and other stakeholders by translating complex data into clear, actionable insights.
• Stay up to date with industry trends and advancements in data analytics technologies and methodologies to ensure the modernization and effectiveness of the analytics and reporting tools.

Qualifications:

• 5+ years of experience in data analytics in the financial management and/or investment support environment with a minimum 2 year of team management experience
• Bachelor’s degree in finance, mathematics, statistics, computer science, or a related field. Master's degree is an asset, and equivalent work experience will be considered

· Relevant certifications such as Microsoft Certified Data Analyst Associate, Certified Analytics Professional (CAP), Chartered Professional Accountant (CPA) or similar are considered an asset

· Demonstrated ability to lead a team of data analysts and engineers, with strong leadership skills and the ability to foster a collaborative work environment

• Advanced proficiency in data analysis tools and software, such as Alteryx, Python, R, and data visualization tools like Power BI/Tableau.
• Experience with Data Platform technologies like MS Fabric, Snowflake, or Databricks are considered assets
• Experience with reactive front-end technologies like Vue.js or React.
• Strong SQL skills for data extraction and management, and familiarity with Azure technologies
• Advanced analytical and problem-solving skills, with the ability to interpret data and provide

actionable insights

• Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders
• Experience with the implementation of data governance frameworks and best practices for data management.
• Ability to maintain an innovative mindset focused on delivering business value in a fast-paced and dynamic environment

Preferred Skills:

• Experience in the private investment industry or related field
• Experience working within a finance or investment finance team
• Familiarity with machine learning and predictive analytics
• Project management skills and experience with Agile methodologies