Data Analyst - Entry Level (Canada)
Canada, Kentucky, United States · ਪੂਰਾ ਸਮਾਂ
ਅਰਜ਼ੀ ਦੇਣ ਵਾਲੇ ਪਹਿਲੇ ਵਿਅਕਤੀ ਬਣੋ
- ਅਨੁਭਵ
- 2 ਸਾਲ ਤੱਕ
- ਤਨਖਾਹ
- —
- ਖੁੱਲ੍ਹਣ ਵਾਲੀਆਂ ਥਾਵਾਂ
- 1
- ਪੋਸਟ ਕੀਤਾ ਗਿਆ
- 5 ਘੰਟੇ
- ਕੰਮ ਮੋਡ
- ਦਫ਼ਤਰ ਵਿੱਚ
- ਰੈਜ਼ਿਊਮੇ
- ਅਰਜ਼ੀ ਦੇਣ ਲਈ ਲੋੜੀਂਦਾ ਹੈ
ਤੁਸੀਂ ਕਿੱਥੇ ਕੰਮ ਕਰੋਗੇ
ਕੰਮ ਦਾ ਵੇਰਵਾ
About the Role
We are seeking a Data Analyst to become an integral part of client and internal workflows, delivering comprehensive data reports and visualizations that enhance decision-making processes. This position offers a unique opportunity to work with real production AI agents impacting real users, providing substantial ownership and influence at the convergence of AI, automated agents, and product development. Join us to help shape the future of AI-driven job search experiences.
Key Responsibilities
- Embed within both client operations and internal teams to ensure that data-backed insights drive AI agent analysis and support decisions effectively.
- Create tailored, timely data reports and visual summaries to communicate expert analyses for internal product teams as well as external clients.
- Respond promptly to all data-related inquiries, conveying complex information clearly, reliably, and professionally.
- Collaborate frequently with management and team members to enhance data models and optimize agent performance.
Qualifications & Experience
Essential:
- Recent graduate or early-career professional with up to 2 years experience in data analysis or a similar technical field.
- Excellent communication and interpersonal abilities for articulating data trends to audiences with varied technical backgrounds.
- Solid foundation in statistics, data analysis techniques, and understanding of AI and machine learning logic frameworks.
Desirable:
- Prior internship or project experience within a technology firm or AI-focused environment as a data analyst or research/support staff.
- Proven track record of turning complex datasets into actionable, easily understandable analytics.
- Technical proficiency in programming languages like Python or R, expertise in data modeling, and experience managing databases with SQL.