Overview:

The Data Specialist will report to the Data Analytics Manager and collaborate closely with various investment and corporate teams to support decision-making through analytics.

Key Responsibilities:

• Report and Insight Delivery: Support the team in delivering key reports, insights, and visualizations based on business priorities.
• Data Analysis: Work closely with the team to analyze and interpret complex data sets.
• Data Pipeline Development: Create data pipelines to capture data from multiple sources and formats.
• Data Preparation and Modeling: Prepare and model data to enable easy consumption for reporting purposes.
• Report Implementation: Develop well-designed, scalable, and automated reports using current and emerging technologies.
• Data Visualization: Visualize data and metrics to produce insightful reports following design standards.
• Practice Improvement: Identify and recommend improvements in data analytics practices.
• Status Reporting: Participate in status meetings and communicate progress as appropriate.
• Innovation and Experimentation: Experiment with Large Language Models, assist in developing predictive analyses, and/or Gen-AI applications.
• Data Architecture Contribution: Contribute to the design and implementation of data foundations and architecture to support long-term analytical needs.
• Independent Research: Research potential solutions to programming challenges independently.
• Continuous Learning: Stay updated with technological trends and continuously upgrade personal, technical, and IT-related skills.
• Problem Solving: Utilize innovative approaches to identify, analyze, and solve complex data challenges, ensuring efficient and effective outcomes.
• Stakeholder Communication: Translate complex technical information into clear, concise insights for non-technical stakeholders to enable informed decision-making.
• Additional Duties: Perform other duties as required.

Qualifications:

Education: Bachelor's or master's degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field. A minor or advanced degree in Finance is an asset.

Experience: At least 3 years of experience in business-oriented data analytics.

Skills and Attributes:

• Passion for data analysis and problem-solving to support investment decision-making.
• Self-motivated with the ability to conduct independent research.
• Strong communication skills to effectively collaborate with investment and technology teams.
• Desire to work in a team-based and collaborative environment.
• Strong programming skills in Python and SQL.
• Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, and Databricks.
• Proficiency with data visualization tools like Power BI and Tableau.
• Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services.
• High degree of interest in investment and asset management.
• Experience in the full cycle of analytics solution development.
• Strong problem-solving skills.