Business Intelligence Lead, Regional Operations
Shopee is hiring a Business Intelligence Lead to oversee data strategy and regional operations. The role involves managing a team of at least 5 members to deliver actionable insights, build data-driven solutions, and optimize reporting dashboards. Candidates must have 4+ years of experience and be proficient in SQL and Python. This role serves as a key partner to cross-functional stakeholders to drive digital transformation.
50k new jobs listed every day. Install TAL to find more jobs like this.
Experience
4+ years
Function
Operations
Work mode
Onsite, Singapore
Company
Tier 1
What you will work on
Shopee is hiring a Business Intelligence Lead to oversee data strategy and regional operations. The role involves managing a team of at least 5 members to deliver actionable insights, build data-driven solutions, and optimize reporting dashboards. Candidates must have 4+ years of experience and be proficient in SQL and Python. This role serves as a key partner to cross-functional stakeholders to drive digital transformation.
TAL's take
High-tier company with clear leadership scope and defined strategic responsibilities for BI operations.
The JD provides a very clear breakdown of leadership expectations, technical requirements, and functional ownership.
Must haves
- Bachelor’s degree or higher
- Minimum 4 years of total work experience
- Experience in business intelligence, data analytics, or related roles
- Experience building and leading teams of at least 5 members
- Daily proficiency in SQL and Python
- Ability to work well with cross-functional teams
Tools and skills
Nice to have: r, tableau.
About the company
Shopee is a major e-commerce unicorn with a well-established and significant engineering and operations presence.
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.