Hybrid Data & Insights Analyst – Tourism Analytics Lead

Destination British Columbia; Vancouver; Hybrid; CAD 81,000 - 92,000; Full time

Job summary

Destination BC in Vancouver, BC seeks a Data & Insights Analyst to lead data analysis and deliver data-driven insights that support Destination BC and BC’s tourism sector.

The role requires 3+ years’ experience with BI tools, data visualization, and stakeholder collaboration. A Bachelor’s degree in data analytics/science or related field is typical. Hybrid work is available with in-office days on Wednesdays and Thursdays.

Qualifications

• Bachelor’s degree in data analytics/science, computer science or related field; or equivalent
• 3+ years’ experience with BI tools (Power BI, Tableau, DOMO, AWS, Azure, SQL, R or Python)
• 3+ years’ experience with data processing tools (JSON, databases, data lakes, CSV)
• 3+ years’ experience collaborating with stakeholders to define reporting and analytics requirements
• 3+ years’ experience building dashboards/reports using BI tools

Responsibilities

• Lead medium to large data analysis projects; translate findings into actionable recommendations
• Identify data requirements and prioritize insights for program decisions
• Develop scalable analytical solutions and communicate insights to varied audiences
• Provide briefings to executives based on analytical findings
• Create dashboards and repeatable analytical workflows for trusted insight delivery
• Promote data literacy and data-informed decision making across teams

Skills

Data analysis

Data storytelling

Data visualization

Stakeholder communication

Education

Bachelor’s degree in data analytics/science

Diploma in data analytics/science

Certificate/course in data analytics/science

Tools

Power BI

Tableau

DOMO

SQL

Python

R

AWS

Azure

Job description

Destination BC in Vancouver, BC seeks a Data & Insights Analyst to lead data analysis and deliver data-driven insights that support Destination BC and BC’s tourism sector.

The role requires 3+ years’ experience with BI tools, data visualization, and stakeholder collaboration. A Bachelor’s degree in data analytics/science or related field is typical. Hybrid work is available with in-office days on Wednesdays and Thursdays.