Data Science Analyst
23 hours ago
About AI Financial
Reformed in 2020, Ai Financial's core team brings over 20 years of experience from Stock market, Options, Investment banking, banking, mutual fund, insurance and segregate fund. We provide Canadian residents with professional investment advice and asset management services.
Our mission is simple: to empower all Canadians to achieve a happy, healthy, and prosperous retirement through financial investment.
Job Description
We are looking for a motivated Data Science Analyst to join our team. You will work closely with our data team to extract, analyze, and visualize data to support decision-making. This is a great opportunity to enhance your analytical skills and gain exposure to real-world business challenges.
Responsibilities
- Collect, clean, and analyze data from multiple sources to generate insights.
- Write and optimize SQL queries to extract data from databases.
- Develop reports and dashboards to visualize key metrics and trends.
- Assist in automating data processing and reporting using Python.
- Support data validation, quality assurance, and troubleshooting of data issues.
- Collaborate with different teams to understand data needs and deliver actionable insights.
- Work with cloud-based data solutions, particularly Azure (preferred but not required).
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field.
- Proficiency in SQL for data extraction and manipulation.
- Basic knowledge of Python for data analysis (e.g., Pandas, NumPy, Matplotlib).
- Strong analytical and problem-solving skills.
- Understanding of cloud services (Azure, AWS, or GCP) is a huge plus.
- Excellent communication and teamwork skills.
Job Types: Full-time, Fixed term contract
Pay: $19.00-$25.00 per hour
Benefits:
- Casual dress
- On-site parking
- Paid time off
Ability to commute/relocate:
- Richmond Hill, ON L4B 3N2: reliably commute or plan to relocate before starting work (preferred)
Experience:
- Python: 2 years (preferred)
- SQL: 2 years (preferred)
Work Location: In person
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