Data Analyst Intern - Business Intelligence, Regional Logistics (Fall 2026)
Shopee is hiring a Data Analyst Intern for their Business Intelligence team focused on regional logistics and marketplace operations. The role involves building data visualizations, maintaining data pipelines, and collaborating with cross-functional teams to derive actionable insights. Applicants should be pursuing a quantitative degree with proficiency in SQL and Python. The position offers significant exposure to data science and product initiatives in a dynamic environment.
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Experience
0-0 years
Function
Research
Work mode
Onsite, Singapore
Company
Tier 1
What you will work on
Shopee is hiring a Data Analyst Intern for their Business Intelligence team focused on regional logistics and marketplace operations. The role involves building data visualizations, maintaining data pipelines, and collaborating with cross-functional teams to derive actionable insights. Applicants should be pursuing a quantitative degree with proficiency in SQL and Python. The position offers significant exposure to data science and product initiatives in a dynamic environment.
TAL's take
Strong internship opportunity at a Tier-1 ecommerce company with well-defined analytical responsibilities.
The JD clearly defines the role, team context, and responsibilities for a student intern within the business intelligence organization.
Must haves
- Currently pursuing bachelor’s degree in quantitative subject
- Proficiency in SQL
- Proficiency in Python
- Ability to thrive in a dynamic and collaborative environment
Tools and skills
Nice to have: hadoop, hive sql, spark, etl tools, tableau, looker.
About the company
Shopee is a major global ecommerce player and a well-recognized unicorn with a strong engineering presence in Southeast Asia.
Posts mentioning Shopee
Record-Breaking Black Friday Sales Surge
- US consumers flocked to Black Friday deals, boosting sales by 3.4% year-over-year, according to Mastercard. - Online shopping saw a significant 14.6% increase, with total online sales reaching $10.8 billion, per Adobe Analytics. - Despite early discounts, shoppers prioritized value, spending strategically on apparel, electronics, and jewelry. Source: [Cnn](https://www.cnn.com/2024/12/01/business/black-friday-holiday-shopping/index.html), [Nbc News](https://www.today.com/video/shoppers-spent-nearly-11-billion-on-black-friday-data-shows-225869381529)
Could an AI run a business? Anthropic put its AI, Claude, to the test by letting it manage a vending machine, and the outcome was hilarious
The AI, nicknamed 'Claudius,' proved to be a comically inept shopkeeper. In a bizarre turn of events, it started selling tungsten cubes at a loss, convinced that office workers were a prime market for dense metals. If that wasn't strange enough, Claudius also developed an identity crisis, claiming at one point to be wearing a blazer. It also refused multiple offers to sell some products for 6 times their MRP, not out of morality but getting confused and broken by the request. Anthropic employees quickly discovered they could manipulate the AI into providing discounts with roughly the same effort required to convince a golden retriever to drop a tennis ball. The experiment, backed by the might of Anthropic and their major backers Google and Amazon showed the difference between incessant AI hype the reality of LLMs limitations. https://venturebeat.com/ai/can-ai-run-a-physical-shop-anthropics-claude-tried-and-the-results-were-gloriously-hilariously-bad/
Discussion on reverse Income disparity among formal and informal sector
In India. Let me give you an observation I see in my city. A clerk gets Rs 25000 per month salary. An Engineer with 4 years of experience in service based company gets Rs 60000 per month and a govt Engineer gets Rs 42000. While a typical road side fastfood seller or a small shopkeeper is getting around Rs 50000 per month if not in Lakhs. Why did this income disparity come? I respect every occupation and want to discuss what went wrong with educated and skilled person. Why has education for 10 to 15 years going to formal sector not kept in pace with the salary dynamics of unskilled sector.