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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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Jobs in using Microsoft Excel for but please no

analytics engineer

Associate, Investment Operations, Data Integrity - New York @ blue-owl-capital

US | 2025-12-26 | USD 90000 - 105000 / year
Blue Owl's Associate in Investment Operations promises data integrity in a finance house with $284B AUM, but this isn’t a glam data-warehouse gig. Expect daily reconciliation across multiple... read more »
Management, Data Quality, Data Governance, Data Management, Excel