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Vancouver, British Columbia, Canada

Internship

Onsite

$21/hr - $23/hr

Intern

Seaspan Corporation is the world's leading independent maritime asset owner and operator, dedicated to providing an unmatched level of quality and service to customers. They are seeking a motivated and detail-oriented Data Analyst Intern to analyze business processes, gather and document requirements, and contribute to quality assurance efforts for successful implementation of business solutions.

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Responsibilities

Collaborate with business and technical stakeholders to gather, analyze, and document business and data requirements
Develop process maps, functional specifications, user stories, data definitions, and other documentation as required
Support the creation and maintenance of reports and dashboards (e.g., Power BI, Plotly Dash), including data validation and refresh monitoring
Write and validate queries to extract, analyze, and test data in support of development and reporting activities
Assist with data validation, transformation checks, and preparation of reporting datasets
Perform basic root cause analysis on data quality issues or dashboard defects and support corrective actions
Maintain and update the corporate data dictionary and business glossary to ensure consistency and governance alignment
Support cross-functional meetings and workshops by documenting key decisions, action items, and follow-ups

Qualification

Required

Currently pursuing a degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, or a related field
Strong analytical and problem-solving skills with high attention to detail
Foundational knowledge of data querying and transformation using tools such as SQL, PySpark, or similar data processing technologies
Experience with Excel for data analysis and validation
Ability to document processes, requirements, and analytical findings clearly and accurately
Strong written and verbal communication skills
Ability to work both independently and collaboratively within cross-functional teams
Eagerness to learn and adapt in a fast-paced, data-driven environment

Preferred

Basic understanding of data manipulation using Python or comparable programming languages is an asset
Exposure to data visualization or reporting tools (e.g., Power BI, Plotly Dash) is a plus
Basic understanding of data validation, data quality concepts, and testing principles (QA/UAT exposure is an asset)