Job Description
Work ArrangementHybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or another frequency dictated by the business.The RoleAs a Data Analytics Intern, you will gain hands-on experience in data-driven decision-making while supporting global sales operations. You will work closely with senior team members on data collection, analysis, reporting, and insights generation to help optimize business performance. This role offers exposure to real-world data challenges, dashboards, and KPIs, as well as the opportunity to contribute to meaningful analytics projects that influence business outcomes.What You’ll Do- Gather, clean, transform, and analyze data from multiple sources to ensure quality and accuracy
- Support data analysis, hypothesis testing, and exploratory data analysis (EDA) to uncover trends and patterns
- Build reports and visualizations to communicate key business insights and performance metrics
- Assist in developing dashboards and KPIs for ongoing business performance tracking
- Collaborate with cross-functional teams (Sales, Marketing, CRM, Omnichannel, etc.) on data-driven initiatives
- Participate in training and mentorship to further develop technical and analytical skills
Your Skills & Abilities (Required Qualifications)- Master’s degree in Data Science, Data Analytics, Business Analytics, or a related field
- Basic knowledge of programming languages (Python preferred) and data analysis tools (SQL, Excel)
- Familiarity with data visualization tools such as Power BI or Tableau
- Completed coursework in AI, machine learning, deep learning, or NLP
- Experience working on academic projects involving generative models or reinforcement learning
- Strong analytical thinking, attention to detail, and clear communication skills
What Will Give You A Competitive Edge (Preferred Qualifications)- Hands-on experience with GPT-based models, GANs, or reinforcement learning projects
- Prior exposure to business, sales operations, or CRM-related datasets
- Demonstrated ability to translate complex analysis into simple, actionable insights for non-technical stakeholders





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