Top 5 Excel Skills Every Analyst Needs in 2026
XLOOKUP, Power Query, dynamic arrays, pivot calculated fields and named ranges. These five skills separate analysts who spend 80% of their time on data prep from those who spend 20%.
Why the same five skills keep coming up
Across 500+ corporate training programs and 10,000+ trained professionals, TechnoExcel has seen the same pattern: analysts with these five skills spend roughly 20% of their time on data preparation. Those without them spend 80%. The skills are not advanced — they are simply not taught in most standard Excel courses or university programs.
1. XLOOKUP — the only lookup you need
VLOOKUP has two structural problems: it breaks when columns shift, and it can only look to the right. XLOOKUP solves both, handles errors more gracefully, supports approximate matches, and can return multiple values. If you use VLOOKUP daily, XLOOKUP will save you real hours within the first week of switching. There is no reason to use VLOOKUP in Excel 365 or 2021 onward.
2. Power Query — the end of copy-paste
Every analyst has files they open, copy from, paste into another file, and repeat every week. Power Query replaces that entire cycle with a reusable transformation. Learn to combine sheets, clean column names, split text fields, and unpivot wide data into tall data. These four transformations cover 80% of data prep work across most industries.
3. Dynamic arrays — one formula, multiple outputs
FILTER, SORT, UNIQUE and SEQUENCE changed what is possible in Excel without VBA. FILTER alone replaces dozens of manual sorts, copies and conditional pastes. These functions work in Excel 365 and 2021 onward. If your organisation is on an older version, this is a concrete reason to push for an upgrade.
4. Pivot calculated fields — analysis without helper columns
Most analysts add helper columns to calculate margins, ratios and year-on-year changes. Calculated fields inside pivot tables do the same thing without modifying the source data. They update automatically on refresh, they don't clutter the raw data sheet, and they make the model easier for someone else to audit or maintain.
5. Named ranges — formulas that document themselves
=SUM(B3:B47) is meaningless six months later. =SUM(MonthlyRevenue) is self-documenting. Named ranges make complex models readable, shareable and far easier to audit. They also prevent the common error of a formula referencing the wrong range after rows are inserted above the named range. This one skill dramatically reduces errors in production models.
This topic is covered in the Advanced Excel with AI course. Sessions are live, practical and taught with real business data — a natural next step if this article matches what you are working on.