Data Analyst

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ITjobs.ca
Montreal
CAD 50,000 - 80,000
Be among the first applicants.
3 days ago
Job description

Location: Montréal
Salary: To be discussed based on experience
Job category: Information technology
Type of job: Permanent
Schedule: Day shift, Monday to Friday

Tasks

  • Analyze and improve FEngine's processes, calculations, and data.
  • Collaborate with developers and colleagues to implement specifications.
  • Diagnose and resolve issues (bugs, data errors, etc.).
  • Respond to client requests and provide technical support.
  • Perform data corrections and modifications in MySQL.
  • Manage data import, processing, and validation in production.
  • Collect and analyze data to enhance system performance.
  • Document solutions and processes for tracking and follow-up.
  • Perform any other related tasks.

Advantages

  • Flexible and hybrid work model.
  • Group insurance plan available after the probation period.
  • Paid holiday break from December 25 to January 2.
  • Office located just steps from Square-Victoria-OACI metro station.
  • Social committee organizing events, 5@7 gatherings, birthdays, and holiday meals.
  • Complimentary coffee for office days.

Job requirements

  • Understanding of financial instruments (stocks, fixed income, mutual funds, options), book value, market value, capital gains/losses, returns, and investment-related financial calculations.
  • Proficiency in object-oriented development concepts: classes, inheritance, relationships, multiplicity, and data types (simple and complex).
  • Knowledge of MySQL and SQL (data extraction and modification), Java is an asset.
  • Experience with Microsoft Excel for data analysis, batch files, and regular expressions for automation.
  • Basic understanding of the object-oriented programming paradigm.
  • Intermediate proficiency in English for communication with clients and writing 30% of the time.

Desired profile

  • Strong analytical skills and attention to detail, with the ability to abstract and apply logical reasoning. Good understanding of mathematical concepts (e.g., iterative algorithms for internal rate of return calculations).
  • Comfortable with fast-paced changes.
  • Enjoys working in a team on multiple projects simultaneously.
  • Adapts quickly to new situations.
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