Data Analyst: Dashboards & Product Insights

Opus; Burnaby; On-site; CAD 65,000 - 95,000; Full time

Job summary

OpusClip is seeking a Data Analyst to help make our data more useful, reliable, and accessible across the company. You will work closely with the Data Science team and partner with Product, Customer Experience, Marketing and other business teams.

A strong foundation in SQL and analytics will help you translate questions into clear analyses and dashboards, while asking thoughtful questions and learning quickly.

Qualifications

• 1–3 years of experience in data analytics, product analytics, business intelligence, or a related analytical role.
• Strong SQL skills and experience working with large datasets.
• Experience building dashboards or recurring reports using tools such as Superset, Tableau, Looker, or Power BI.
• A good foundation in analytical thinking and basic statistics.
• The ability to connect a business question to the right metrics and analysis.
• Clear communication skills, including the ability to explain data to non-technical audiences.
• Curiosity, attention to detail, and a willingness to question unclear or outdated definitions.
• A collaborative mindset and comfort seeking feedback from different teams.

Responsibilities

• Improve dashboards and reporting for product usage and business performance.
• Partner with Product, Customer Experience and other teams to translate questions into analyses.
• Analyze user behavior, feature adoption, conversion, retention, and other customer journey aspects.
• Take ownership of small-to-medium analytical projects and communicate findings.
• Document metrics, dashboards, data definitions, and data owners.

Skills

SQL proficiency

Analytical thinking

Clear communication

Collaborative

Tools

Superset

Tableau

Looker

Power BI

Python

R

Mixpanel

Job description

OpusClip is seeking a Data Analyst to help make our data more useful, reliable, and accessible across the company. You will work closely with the Data Science team and partner with Product, Customer Experience, Marketing and other business teams.

A strong foundation in SQL and analytics will help you translate questions into clear analyses and dashboards, while asking thoughtful questions and learning quickly.