Data Analyst, Mid Level
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Jobright is a personal AI job search agent that simplifies the job search process and helps users reach better job outcomes. The Data Analyst turns product, growth, and operational data into insights and recommendations through performance analysis, metrics and data quality management, reporting, experimentation, and cross-functional analytics processes.
Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Analyse acquisition, activation, engagement, retention, and marketplace performance
- Build and maintain dashboards and recurring business reports
- Design metrics and validate data quality across multiple sources
- Perform cohort, funnel, experiment, and root-cause analyses
- Partner with stakeholders to define questions and measurement plans
- Translate findings into concise recommendations and next steps
- Improve reusable SQL queries, documentation, and analytics processes
Qualification
Required
- 2 or more years of professional data analytics experience
- Strong SQL and spreadsheet skills
- Experience with dashboards and business intelligence tools
- Understanding of statistics, experimentation, funnels, and cohorts
- Strong analytical communication and problem-solving skills
- Ability to work effectively in a remote environment
- Authorised to work in Canada
Preferred
- Experience with Python, Tableau, Looker, Power BI, or similar tools
- Familiarity with product analytics, marketplace data, or marketing attribution
- Experience working with cross-functional product teams
More about this job
Responsibilities
Analyze acquisition, activation, engagement, retention, and marketplace performance, and build dashboards and recurring business reports. Define and validate metrics, conduct cohort, funnel, experiment, and root-cause analyses, and turn findings into recommendations while improving reusable queries and analytics processes.
Requirements
Requires at least two years of professional data analytics experience, strong SQL and spreadsheet skills, experience with dashboards and business intelligence tools, and knowledge of statistics, experimentation, funnels, and cohorts. Candidates must communicate analytical findings effectively, solve problems, work effectively in a remote environment, and be authorized to work in Canada; Python and tools such as Tableau, Looker, or Power BI are preferred.
Skills
- SQL
- Spreadsheet Skills
- Dashboarding
- Business Intelligence Tools
- Statistical Analysis
- Experimentation
- Funnel Analysis
- Cohort Analysis
- Data Quality Management
- Root-Cause Analysis
- Product Analytics
- Marketing Attribution
- Analytical Communication
- Problem-Solving
- Python
- Cross-Functional Collaboration
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Data Analytics
- SQL
- Spreadsheets
- Dashboards
- Business Intelligence
- Python
- Tableau
- Looker
- Power BI
- Statistics
- Experimentation
- Metrics
- Data Quality
- Cohort Analysis
- Funnel Analysis
- Root-Cause Analysis
- Product Analytics
- Marketplace Performance
- Marketing Attribution
- Acquisition
- Activation
- Engagement
- Retention
- Cross-Functional Analytics
- Reporting
- Remote Work
- Software Development