Market Research Analyst - Specialist
Job Description & How to Apply Below
CA $50,000.00 yearly
Full-time
As a Research Intern, you will gain hands‑on experience in both quantitative and qualitative research methodologies while developing professional skills in a dynamic and supportive environment. You will work closely with experienced professionals, receive mentorship from industry experts, and gain insight into how research informs business decisions.
The ideal candidate has a foundational knowledge of market research and is currently enrolled in a relevant program or is a recent graduate, eager to apply their knowledge in a real-world setting while gaining practical experience in research and data analysis.
Responsibilities- Assist in the collection, analysis, and interpretation of data.
- Support ongoing market research reports
- Enter data and prepare reports and presentations summarizing research findings.
- Collaborate with senior researchers and project managers on various analytical tasks.
- Participate in team meetings and contribute to project brainstorming sessions.
- Currently enrolled in or recently graduated from a bachelor’s or master’s program in Economics, Statistics, Business Administration, or a related field in Health Sciences.
- Proficient in Microsoft Office Suite, especially Excel.
- Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python) is an asset
- Analytical
Skills:
Ability to work with data, identify basic trends, and support the interpretation of research findings. - Communication and Writing:
Strong written and verbal communication skills to clearly present ideas, contribute to reports, and collaborate with team members. - Organization and Time Management:
Ability to manage tasks, stay organized, and meet deadlines in a fast-paced environment. - Teamwork and
Collaboration:
Comfortable working with others, participating in discussions, and supporting team projects. - Attention to Detail:
Careful approach to data entry, analysis, and reporting to ensure accuracy and quality. - Problem-Solving:
Willingness to learn and find solutions when challenges arise during research tasks. - AI & Digital Tools:
Familiarity with AI tools (e.g., ChatGPT) and interest in using technology to support research, data analysis, and productivity.
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