Closed listing
Financial Data Analyst (Junior)
- Montreal, QC, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 2-5 years of experience as a Financial Data Analyst, Business Analyst, Data Analyst, or Production Support Analyst.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Financial Data Analyst (Mid-Level)
Location: Montreal, QC (Hybrid)
Duration: Contract
About the Role
We are seeking a Financial Data Analyst with 2-5 years of experience in financial services to support business-critical banking operations, data analysis, and process improvement initiatives. The ideal candidate will work closely with business stakeholders to investigate data issues, perform root cause analysis, automate manual processes, and ensure data integrity across multiple systems.
Key Responsibilities
- Analyze and investigate financial and operational data issues using SQL and Python.
- Perform data validation, reconciliation, and root cause analysis.
- Develop automation solutions to improve efficiency and reduce manual effort.
- Support business users by resolving data-related and system-related issues.
- Collaborate with cross-functional teams including business, operations, technology, and data teams.
- Document findings, processes, and recommendations for continuous improvement.
Required Skills
- 2-5 years of experience as a Financial Data Analyst, Business Analyst, Data Analyst, or Production Support Analyst.
- Strong SQL and Python skills.
- Experience with data analysis, troubleshooting, and process automation.
- Strong problem-solving and stakeholder management skills.
- Excellent communication skills and attention to detail.
- Experience in Banking, Capital Markets, Financial Services, or Investment Banking environments.
More about this job
Responsibilities
Analyze financial and operational data issues using SQL and Python, including validation, reconciliation, and root cause analysis. Automate manual processes, resolve data and system issues for business users, and document findings and recommendations while collaborating across business, operations, technology, and data teams.
Requirements
Requires 2–5 years of experience in a financial data, business analysis, data analysis, or production support role, preferably in banking, capital markets, financial services, or investment banking. Candidates should have strong SQL and Python skills, experience with data analysis, troubleshooting, and automation, and strong problem-solving, stakeholder management, communication, and attention-to-detail skills.
Skills
- SQL
- Python
- Financial Data Analysis
- Data Validation
- Data Reconciliation
- Root Cause Analysis
- Process Automation
- Troubleshooting
- Problem-Solving
- Stakeholder Management
- Communication
- Attention to Detail
- Banking
- Capital Markets
- Investment Banking
Visa sponsorship
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Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Consulting
Keywords
- Financial Data Analysis
- Banking Operations
- SQL
- Python
- Data Analysis
- Data Validation
- Data Reconciliation
- Root Cause Analysis
- Process Improvement
- Process Automation
- Data Integrity
- Troubleshooting
- Production Support
- Business Analysis
- Stakeholder Management
- Cross-Functional Collaboration
- Banking
- Capital Markets
- Financial Services
- Investment Banking