Finance Intelligence Analyst (6-Month Contract)
- Vancouver, BC
- On-site
- Posted Aug 25, 2026
- 1 position
$70,000–$90,000 / year
Opens an external site
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The analyst will prepare, validate, and reconcile financial data across multiple systems to ensure accuracy and consistency in reporting. They will also design dashboard mockups and provide actionable insights to support data-driven decision-making across the organization.
Job details
Seaspan employees are goal-driven and thrive in a high-performance culture. Our integrated business model, with over 25 years of fleet life-cycle management expertise, provides the world’s major shipping companies with long-term leases on large, modern and technologically advanced vessels, combined with industry-leading ship management services. As owner and operator of the vessels, we provide skilled officers and crews dedicated to the safe, reliable, and economical operation of our fleet. Seaspan's fleet has evolved over time to meet the varying needs of our customer base. We own vessels in a wide range of sizes, from 2,500 TEU to 24,000 TEU. Our main operating offices are located in Singapore, Vancouver, Hong Kong, and Mumbai. The Business Intelligence department is responsible for enabling the Enterprise Data & Analytics Strategy across the organization by providing unified approaches, tools, and standards for all facets of Seaspan’s data management and consumption. Within this department, the Finance Intelligence Team work in close partnership with overall finance departments, business units, and technology functions to support data-driven decision-making. Reporting to the Finance Intelligence Lead, the Analyst will contribute to the development of high-quality, actionable insights through robust data preparation, validation, and visualization. This role is key to ensuring data accuracy, consistency, and usability across finance-related dashboards and reports, enabling the organization to make informed and timely decisions. This is a fully on-site six month contract role based in our Vancouver, BC office. Job Responsibilities: Prepare and validate financial data from NetSuite, Oracle EPM, Excel trackers, and legacy systems. Standardize financial definitions, KPIs, and metric calculations across dashboards and reports. Support documentation and drafting of business requirement documents in collaboration with business leads and BI developers. Design dashboard mockups and layout suggestions using Power BI, aligning with business stakeholder input. Provide visualization and UX design guidance to ensure business context is clearly reflected. Assist in documenting business logic and maintaining data dictionaries to support data governance and long-term maintainability. Reconcile financial data across multiple systems to ensure accuracy and trust in reporting outputs. Support user acceptance testing (UAT), including feedback collection, bug tracking, and enhancement request documentation. Perform ad-hoc data analysis and queries to validate dashboard logic and support business decision-making. Requirements: Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, Finance, Accounting, Business Administration, Economics, or related field. A minimum of 3 years of professional experience in a relevant area such as Business Intelligence, Data Analytics, Financial Systems support, or Financial Planning & Analysis is preferred. Foundational understanding of corporate finance concepts, including corporate finance, financial reporting, management reporting and budgeting. Hands-on experience with Power BI, including Power Query and dashboard design. Proficiency in SQL for data querying, manipulation, and validation. Strong visual/UX sensibility and ability to recommend actionable data visualizations. Proficiency in Python for data analysis and automation; experience with libraries such as pandas, numpy is an asset. Knowledge of scripting for financial modeling, process automation, or API-based data integration is preferred. High attention to data accuracy and integrity, with an analytical and solution-oriented mindset. Strong communication and documentation skills, with the ability to liaise between technical and business teams. Self-starter capable of troubleshooting data issues independently and efficiently. Experience with financial planning systems or enterprise resource planning (ERP) systems such as NetSuite, Oracle EPM is nice to have. Understanding data modeling concepts and dashboard lifecycle development. Knowledge of best practices in data governance, documentation, and process automation. Compensation and Benefits: Seaspan’s total compensation is based on our pay-for-performance philosophy that rewards team members who deliver on and demonstrate our high-performance culture. The hiring range for this position is $70,000 - $90,000 CAD per annum (pro-rated for contract duration). The exact base salary offered will be commensurate with the incumbent’s experience, job-related skills and knowledge, and internal pay equity. This is a contract-based position with an initial term of 6 months, any potential extension will be subject to performance and ongoing project needs. Seaspan Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We thank all applicants in advance. If your application is shortlisted to be included in the interview process, one of our team will be in contact with you.
What you’ll do
The analyst will prepare, validate, and reconcile financial data across multiple systems to ensure accuracy and consistency in reporting. They will also design dashboard mockups and provide actionable insights to support data-driven decision-making across the organization.
Requirements
Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of professional experience in data analytics or financial systems. Proficiency in Power BI, SQL, and corporate finance concepts is required, along with strong communication and documentation skills.
Listed skills
- Data analysis · Preferred
- Financial Reporting · Preferred
- Power BI · Preferred
- SQL · Preferred
- Python · Preferred
- Data visualization · Preferred
- UX design · Preferred
- Financial planning · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Financial Reporting
- Power BI
- SQL
- Python
- Data Visualization
- NetSuite
- Oracle EPM
- Data Governance
- Financial Modeling
- Business Intelligence
- Data Preparation
- Process Automation
- Dashboard Design
- UX Design
- Financial Planning
- User Acceptance Testing (UAT)
- Business Requirements Documentation
- Self-Starter
- Management Reporting
- Python For Data Analysis
- Solution-Oriented
- Data Preprocessing
- Internal Pay Equity
- Data-Driven Decision Making
- User Experience (UX) Design
- Acceptance Testing
- Accounting
- Application Programming Interface (API)
- Budgeting
- Business Logic
- Bug Tracking And Management
- Business Administration
- Dashboard
- Corporate Finance
- Business Process Automation
- Decision Making
- Communication
- Computer Science
- Information Systems
- Data Dictionary
- Data Integration
- Data Management
- Data Modeling
- Economics
- Enterprise Resource Planning
- Finance
- Financial Systems
- Financial Data
- Financial Statements
Job areas
- Data & Analytics
- Finance & Accounting
- Technology
- Software
- Finance Data Analyst
- Financial Analyst (General)
- Financial Analysts
- Financial and Investment Analysts
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