About the Role
The intern will assist in developing data-driven solutions by working with large datasets, applying statistical techniques, and collaborating with analysts to interpret results and improve decision-making processes.
Responsibilities
- Collect and organize large volumes of retail and consumer behavior data
- Clean and preprocess data for analysis and reporting
- Assist in building predictive models to identify market trends
- Support the validation of analytical models and outputs
- Generate visualizations to communicate findings clearly
- Collaborate with team members on data interpretation
- Document processes and methodologies used in analysis
- Perform quality checks on datasets and model inputs
- Assist in automating repetitive data tasks
- Translate business questions into analytical approaches
- Work with structured and unstructured data sources
- Summarize key insights for non-technical stakeholders
- Use programming tools for data manipulation and analysis
- Participate in team meetings and project reviews
- Follow data governance and privacy standards
- Support ad hoc analytical requests
- Explore patterns in consumer purchasing behavior
- Contribute to client-ready deliverables
- Apply statistical methods under supervision
- Maintain version control for analytical scripts
- Work with cloud-based data platforms
- Utilize databases to extract relevant information
- Assist in testing new data tools and technologies
- Present findings during internal team sessions
- Meet project deadlines with guidance from mentors
Compensation
Competitive hourly rate
Work Arrangement
Hybrid
Team
Part of the analytics and insights division
What We Offer
- Hands-on experience with real-world data from global markets
- Mentorship from experienced data professionals
- Exposure to client-facing analytics projects
- Opportunities to present work to internal teams
Application Deadline
Applications must be submitted by March 31st
Not available