Data Analyst, New Grad (Canada)
Canada, Kentucky, United States · పూర్తి సమయం
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
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- అనుభవం
- Up to 2 yrs
- జీతం
- —
- ఖాళీలు
- 1
- పోస్ట్ చేయబడింది
- 1 వారం క్రితం
- Work mode
- కార్యాలయంలో
- Eligibility
- Recent graduates and entry-level professionals in Canada with 0 to 2 years of experience in data analysis or a related technical field can apply.
- Resume
- Required to apply
Where you'll work
ఉద్యోగ వివరణ
About the Role
Jobright is an AI-powered job search assistant designed to improve how candidates find work. The team is hiring a Data Analyst to work across client-facing and internal processes, turning data into reports and visualizations that guide business and product decisions.
Why Join Us
- Contribute to real AI agents that are actively used by people.
- Take on a high-ownership role where your work has visible impact.
- Work at the crossroads of AI, agents, and product development.
- Help shape the user experience for AI-led job search.
Responsibilities
- Embed into client and internal workflows so data insights become a core input for analysis and decision-making.
- Create tailored, timely reports and visual dashboards that support internal teams and external clients with clear analytical takeaways.
- Respond quickly and professionally to data requests while explaining findings in a way that is easy to understand and consistent across audiences.
- Collaborate with the manager and other team members on improving data models and agent performance.
Required Qualifications
- Recent graduate or early-career professional with 0 to 2 years of experience in data analysis or a closely related technical area.
- Strong written and verbal communication skills, including the ability to present trends to both technical and non-technical stakeholders.
- Solid understanding of statistics, analytical methods, and the core logic behind AI and machine learning.
Preferred Background
- Prior internship or project exposure in data analysis, research, support, or a similar role in a technology or AI-oriented environment.
- Experience turning complex datasets into practical, easy-to-digest insights.
- Working knowledge of Python or R, data modeling, and SQL database management.