Microsoft Excel

spreadsheet, data analysis, microsoft
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The cockroach of the tech world—ubiquitous, indestructible, and somehow still running mission-critical workflows. Love it or loathe it, Excel remains a staple for quick-and-dirty data manipulation, prototyping, and dashboards that no one ever bothers to migrate. Its pivot tables and formulas can turn chaos into insights, making it the go-to for business users who don’t want to touch SQL.
But let’s be clear: Excel is no friend to scalability, reproducibility, or collaboration. It chokes on large datasets, fosters manual errors, and turns version control into a nightmare. Data engineers will find its use cases limited to small-scale, ad-hoc tasks, though it can be a lifesaver for quick validations or mocks.
Powerful but fragile, Excel is the duct tape of data: invaluable in a pinch, but if it’s holding your pipeline together, something’s gone very, very wrong.

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data scientist

AI Project Manager / Producer, Commerce & Marketing Consulting Section - AI & Data Consulting Department (AIDC) @ rakuten

JP | 2025-12-24
This role is a strategic opportunity for a data engineer or data scientist with experience in managing AI projects and driving data-driven solutions. The position requires a blend of technical... read more »
AI/ML, Data Science, Dashboard, Marketing, KPI, GenAI, Management, Excel, VBA, Data Analytics, Data Modelling, Python, SQL
data scientist

Trading and Research Summer Internship 2026 (Tokyo) @ capula_2

JP | 2025-12-23
This role is a high-impact, hands-on internship at a leading global hedge fund, offering direct engagement with quant traders and strategy development. The position emphasizes practical experience... read more »
Management, PhD, Computer Science, Excel, Python, C++, R, Java