Aarorn Technologies is currently seeking a highly motivated Data Specialist.
Job Title: Data Specialist
Location: Toronto, ON (Thrice a Week Onsite)
Overview
The Data Specialist will report to the Data Analytics Manager; she/he will work closely with various investments and corporate teams on analytics to support decision making
What You Will Do
- Support the team in delivering key reports, insights and visualizations per priorities set by the business
- Working closely with team, analyze and interpret complex sets of data.
- Develop data pipeline to capture data from multiple sources/formats.
- Perform data preparation and data modelling to enable easy consumption for reporting purposes.
- Implement well-designed, scalable, and automated reports using current and emerging technology.
- Visualize data and metrics to produce insightful reports by following design standard.
- Identify and provide recommendations for improvements in our data analytics practices.
- Participate in status meetings; report and communicate on status as appropriate.
- Opportunity to experiment with Large Language Model, assist and develop predictive analysis, and/or Gen-AI applications.
- Contribute to the design and implementation of various data foundations and architecture to support long-term analytical needs
- Be able to research independently for potential solutions to problems encountered in programming
- Stay updated with technological trends and direction; continuously upgrading personal, technical, and IT-related skills.
- Utilize innovative approaches to identify, analyze, and solve complex data challenges, ensuring efficient and effective outcomes
- Translate complex technical information into clear, concise insights for non-technical stakeholders, enabling informed decision-making across the organization
- Other duties as required
What You Will Need
- Bachelor's or master's degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering.
- Minor or advanced degree in Finance is an asset.
- 3+ years’ experience in business-oriented data analytics.
- Passion for data analysis and problem solving to support investment decision making
- Self-motivated, ability to do independent research
- Strong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technology
- Desire to work in a team-based and collaborative environment
- Strong programming skills (Python, SQL)
- Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, Databricks etc.
- Proficient with data visualization tools: PBI/Tableau etc.
- Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services
- High degree of interest in investment and asset management.
- Experience in industry or an academic setting of:
- Full cycle of analytics solution development
- Strong problem-solving skills
