Data Analyst

About the job
NOTE: Hybrid Work Model, office located in Toronto. Work 2 days/week in office.

Status: 12-Month Contract, 8 hour work day, 40 hours/week

Work Experience: 3+ years data analyst, Python, SQL, Snowflake, Spark, Databricks, Power BI, Tableau, LLM, Gen-AI, Azure, AWS, GCP

Industry: Bank, Finance

DESCRIPTION:

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 businessWorking 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-AIapplications.Contribute to the design and implementation of various data foundations and architecture to support long-term analytical needsBe able to research independently for potential solutions to problems encountered in programmingStay 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 outcomesTranslate complex technical information into clear, concise insights for non-technical stakeholders, enabling informed decision-making across the organizationOther duties as requiredREQUIREMENTS:

Bachelor’s or master’s degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering. Minor or advanced degree in Financeis an asset.3+ years’ experience in business-oriented data analytics.Passion for data analysis and problem-solving to support investment decision-makingSelf-motivated, ability to do independent researchStrong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technologyDesire to work in a team-based and collaborative environmentStrong 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/Tableauetc.Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related servicesHigh degree of interest in investment and asset management.Experience in industry or an academic setting of:Full cycle of analytics solution developmentStrong problem-solving skills

We openly welcome and invite applications from persons with disabilities or those protected by the human rights code and, upon request, provide accommodation during all stages of the recruitment and hiring process.

Please note that AI is used to assist in the recruiting process.