Data analyst
You ask “why did sales drop?” — the job is a table you can trust, not an ML slide.
4,000,000–28,000,000 UZS / mo
- Income
- 4,000,000–28,000,000
- Education
- University helps; entry is Excel + SQL
- Core skills
- Excel · SQL · BI
- Work format
- Office / hybrid
Income
4M–28M UZS / mo
Education
University helps; entry is Excel + SQL
Work format
Office / hybrid
Career path
Reporting → analyst → product/BI
01
An analyst is not a coding champion — they sharpen the question and turn messy data into a table you can trust.
02
Uzbekistan has no official “analyst salary” series; the role hides inside ICT, finance, or trade. Do not treat the programmer median as your offer.
03
Entry: Excel + SQL + one BI tool. Python later. Portfolio is a dashboard, not an “ML model” slide.
What a data analyst does
A data analyst takes a business question — “why did sales drop?”, “which region returns more?” — and answers with a number. The work is finding the source (CRM, 1C, payments, ad cabinets), cleaning, aggregating, showing, and concluding carefully.
It is not a data scientist or ML engineer: a model is not the main product. It is not always a BI developer: cubes and ETL may not be your core job. In a small company the edges blur — you own all of it.
A fit if you like order, distrust a lonely average, and can talk to people. A poor fit if you only want pretty charts or refuse conversations.
Where the role sits
| Context | Questions | Tools |
|---|---|---|
| Product / IT | Activity, funnels, A/B | SQL, Metabase/Looker, optional Python |
| Marketing | CAC, ROAS, channel | GA4, Ads, Excel |
| Finance / 1C | Margin, receivables, budget | 1C, Excel, Power BI |
| Ops / marketplace | Delivery, returns, SKU | SQL, internal admin |
International and AI
Global: SQL + Tableau/Looker + written English. Do not take the data-scientist title early. Relocation is that country’s visa.
AI: ChatGPT drafts SQL and suggests cleaning. It does not know your schema, can leak secrets, and can lie in a JOIN. You own the question, the check, and the metric dictionary. The scarce skill is defining what a KPI means.
How the work usually goes
01
Check the dashboard still loads
02
Ad-hoc: marketing or finance
03
SQL or Power Query
04
A short written conclusion
Where the work happens
- Product and marketing teams
- Analytics beside finance / 1C
Roadmap
- 01
Make Excel serious
Tables, Pivot, VLOOKUP/XLOOKUP, a simple chart. Bookkeeper or operator experience is an edge.
- 02
SQL: SELECT through window functions
Mode/SQLBolt/a sandbox. JOIN and GROUP BY are 70% of interviews.
- 03
One BI tool
Power BI (closer to finance/1C) or Metabase/Looker (product). Another human must open the dashboard and get it.
- 04
Portfolio: two stories
A public dataset (sales, not another COVID dump). Question, cleaning, conclusion, limits. Python is optional around month five.
Skills
Must-have
- Excel / Power Query
- SQL
- One BI tool
- Re-asking the question
Useful
- Python (later)
- Stats basics
Later
- ML models
Income range
4,000,000–28,000,000 UZS / mo
Editorial range•2026 figures•O‘zbekiston (Toshkent va hududlar)
Note: The salary range is an analytical estimate; actual compensation depends on candidate experience, portfolio, language skills, and employer level.
Sources and method
- No official analyst salary series — the role sits inside ICT, finance, or trade
- Flexa and hh.uz vacancies, 2026
- Figures draw on 2026 sources: Uzbekistan National Statistics Committee (official sector averages, Q1/H1 2026), Flexa and hh.uz vacancy medians, and public IT Park / product-team guides. Not a guarantee — contract type, city, tax, and level change the range. Compare live vacancies yourself.
The Uzbekistan market
Ads: hh.uz “аналитик”, “data analyst”, “marketing analyst”, sometimes “business analyst” (that is another job — requirements/BPMN). Employers: marketplaces, banks, telecom, agencies, public digitization.
Language: SQL in English, reports in Russian/Uzbek. 1C is a strong filter in finance analysis. There is no dedicated series; the ICT mean of 17.41M (H1 2026) does not describe analysts. Junior pay often sits near the programmer mode (8M) or below — read the ad.
Search: hh.uz, LinkedIn, Telegram, internal posts. International remote wants strong SQL, English, and a portfolio.
First job
- One trustworthy table in Excel + SQL
- A dashboard — not an “ML model” slide
- A resume and targeted applications
Who it fits
May be a good fit
- Order, and distrust of a lonely average
- Clarifying the question with people
May be a harder fit
- Only pretty charts
- Refusing conversations
Where AI helps
Where AI helps
- A SQL draft and a comment
- Explaining a table briefly
Human responsibility remains
- Source and PII: what is open, what is secret
- The conclusion: what the number says and does not
FAQ
Not for entry. SQL + BI is enough. Python helps on repeatable cleaning and large files.