Data analyst jobs: skills, pay and how to get hired
Updated 5 Nov 2026. Figures from the jobs in our search, not the whole market.
Contents
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What a data analyst does
A data analyst answers questions with data: why sales fell last month, which campaign brought the best customers, where people give up in the sign-up form. The work is getting the data, checking it, analysing it, and showing the answer in a report, a chart or a dashboard, then explaining what it means for the decision at hand.
Job titles vary: Data Analyst, BI Analyst (business intelligence: reports and dashboards for the business), Reporting Analyst, Marketing or Product Analyst. Senior titles add Lead or Principal. We count the general titles as one role.
The skills the ads ask for
We read a sample of the ads every day and count the skills they name. On a computer, hover a skill in the text to see its share; on a phone, the table has the same figures.
| Skill | Share of ads | What is expected |
|---|---|---|
| SQL | 57% | The core tool: joins, grouping, window functions and checking your own results, on real company data. |
| Excel | 16% | Pivot tables, lookups, clean formulas and charts; still where many business users read and check numbers. |
| Power BI | 36% | Build reports and dashboards: data models, measures and refresh schedules; common where firms run Microsoft. depends on the provider |
| Tableau | 11% | Build interactive dashboards people can filter themselves, from a clean data source. depends on the provider |
| Python | 40% | Python for analysis: pandas for tables, charts, and scripts that automate a monthly report. |
| Statistics | 12% | Averages and spread, sampling, significance and confidence intervals; enough to say how sure a finding is. |
| Data Visualization | 10% | Choose the chart that answers the question; label it so it cannot be misread. |
| Data Analysis | 33% | Turn a vague question into a clear one, answer it with data, and say what to do next. |
| dbt | 9% | Build tested, documented data models in SQL inside the warehouse; common in modern data teams. depends on the release |
| Snowflake | 13% | A cloud data warehouse: large tables, fast SQL, and costs that depend on how you query. depends on the provider |
| Google Analytics | 4% | Website and app traffic: sessions, events, conversions and their attribution. depends on the provider |
| ETL | 7% | Extract, transform, load: move data from source systems into a warehouse, cleaned and on schedule. |
| Google Cloud | 2% | Google's cloud; BigQuery is a common warehouse for analysts. depends on the provider |
| Azure | 10% | Microsoft's cloud, with its data and reporting services; common in larger European firms. depends on the provider |
| SAP | 18% | Many companies' finance and operations data lives in SAP; knowing its tables speeds up analysis. depends on the provider |
| English | 48% | The working language of many data teams, and of most tools' documentation. |
Shares of the data analyst ads we read in the last 7 days, as of 5 Nov 2026. Our ads, not the whole market.
Three things stand out. First, SQLAsked in 57% of data analyst ads (as of 5 Nov 2026).The core tool: joins, grouping, window functions and checking your own results, on real company data. is the core of the job: most analysis starts with a query. Second, ExcelAsked in 16% of data analyst ads (as of 5 Nov 2026).Pivot tables, lookups, clean formulas and charts; still where many business users read and check numbers. is still everywhere, because that is where many business users read and check numbers. Third, a dashboard tool, usually Power BIAsked in 36% of data analyst ads (as of 5 Nov 2026).Build reports and dashboards: data models, measures and refresh schedules; common where firms run Microsoft. depends on the provider or TableauAsked in 11% of data analyst ads (as of 5 Nov 2026).Build interactive dashboards people can filter themselves, from a clean data source. depends on the provider, is named in many ads; knowing one well makes learning the other quick.
PythonAsked in 40% of data analyst ads (as of 5 Nov 2026).Python for analysis: pandas for tables, charts, and scripts that automate a monthly report. or RR for statistics and reports; common in research, health and public-sector teams. appear in fewer ads but set candidates apart, as do statisticsAsked in 12% of data analyst ads (as of 5 Nov 2026).Averages and spread, sampling, significance and confidence intervals; enough to say how sure a finding is. for reading experiments and the newer warehouse tools such as dbtAsked in 9% of data analyst ads (as of 5 Nov 2026).Build tested, documented data models in SQL inside the warehouse; common in modern data teams. depends on the release (tested data models written in SQL) and SnowflakeAsked in 13% of data analyst ads (as of 5 Nov 2026).A cloud data warehouse: large tables, fast SQL, and costs that depend on how you query. depends on the provider.
Where the data comes from shapes the role: marketing analysts work with Google AnalyticsAsked in 4% of data analyst ads (as of 5 Nov 2026).Website and app traffic: sessions, events, conversions and their attribution. depends on the provider, finance and operations analysts often with SAPAsked in 18% of data analyst ads (as of 5 Nov 2026).Many companies' finance and operations data lives in SAP; knowing its tables speeds up analysis. depends on the provider, and analysts close to the data team with ETLAsked in 7% of data analyst ads (as of 5 Nov 2026).Extract, transform, load: move data from source systems into a warehouse, cleaned and on schedule. jobs (extract, transform, load: moving data from source systems into a warehouse) on a cloud such as AzureAsked in 10% of data analyst ads (as of 5 Nov 2026).Microsoft's cloud, with its data and reporting services; common in larger European firms. depends on the provider or Google CloudAsked in 2% of data analyst ads (as of 5 Nov 2026).Google's cloud; BigQuery is a common warehouse for analysts. depends on the provider. Whatever the source, the ads ask for clear data visualisationAsked in 10% of data analyst ads (as of 5 Nov 2026).Choose the chart that answers the question; label it so it cannot be misread.: charts that answer one question each.
Where the jobs are, country by country
Each country below has its own figures: the cities with the most jobs in our list when a few clearly lead, whether the number is growing, how often ads offer remote or hybrid work, and pay ranges from published research, in the local currency.
Germany
20% of the ads offer hybrid work, and 13% are fully remote.
Pay (Base salary)
- Entry level: €42,000 to €55,000 a year
- Mid-level: €50,000 to €65,000 a year
- Senior: €62,000 to €80,000 a year
Baden-Württemberg, Hesse and Hamburg pay the most; Stuttgart and Hamburg lead the city lists.
Sources: gehalt.de (2026), StepStone (2026), Indeed (Oct 2026), Payscale (Oct 2026).
Pay researched on 27 Oct 2026.
Language: many ads in Germany mention GermanAsked in 51% of data analyst ads (as of 5 Nov 2026).Named in many ads in Germany, Austria and Switzerland, because results are presented to business teams., because analysts present results to business teams. Some international teams work in EnglishAsked in 48% of data analyst ads (as of 5 Nov 2026).The working language of many data teams, and of most tools' documentation.; the ad usually says which.
Law (EU): GDPRAsked in 7% of data analyst ads (as of 5 Nov 2026).Personal data in reports and exports: show only what is needed, and anonymise where you can. applies to personal data in reports, exports and dashboards; expect questions on who may see what.
Job figures as of 5 Nov 2026.
United States
12% of the ads offer hybrid work, and 64% are fully remote.
100% of the ads that say are full-time.
Pay (Base salary)
- Entry level: $55,000 to $75,000 a year
- Mid-level: $70,000 to $100,000 a year
- Senior: $95,000 to $140,000 a year
San Francisco and remote roles pay the most.
A recruiter's guide puts every level higher than the job ads and surveys do.
Sources: Indeed (Oct 2026), Indeed (senior) (Oct 2026), Payscale (Oct 2026), Built In (2026), Robert Half 2027 Salary Guide (a projection).
Pay researched on 27 Oct 2026.
Job figures as of 5 Nov 2026.
United Kingdom
6% of the ads offer hybrid work, and 36% are fully remote.
Pay (Base salary)
- Entry level: £26,000 to £35,000 a year
- Mid-level: £35,000 to £55,000 a year
- Senior: £55,000 to £80,000 a year
London pays more than the rest of the UK.
The sources disagree a lot: ads through IT recruiters pay well above the broad market.
Sources: ITJobsWatch (Oct 2026), ITJobsWatch (senior) (Oct 2026), Indeed (Oct 2026), Robert Half 2027 Salary Guide (a projection), Payscale (Oct 2026).
Pay researched on 27 Oct 2026.
Job figures as of 5 Nov 2026.
Switzerland
Pay (Base salary)
- Entry level: CHF 70,000 to CHF 85,000 a year
- Mid-level: CHF 85,000 to CHF 110,000 a year
- Senior: CHF 105,000 to CHF 135,000 a year
The Swiss sources for this role rest on small and partly older samples, so read them as a rough guide.
Sources: Indeed (Oct 2026), Payscale (Jun 2025), Payscale (senior) (Oct 2025).
Pay researched on 27 Oct 2026.
Language: ads around Zurich and Basel often ask for German, ads around Geneva and Lausanne for French; many data teams work in English.
India
Pay (Base salary)
- Entry level: ₹3 lakh to ₹5 lakh a year
- Mid-level: ₹5 lakh to ₹9 lakh a year
- Senior: ₹9 lakh to ₹18 lakh a year
Bengaluru, Noida and Gurugram pay the most; multinationals and product companies pay above these ranges.
Sources: Indeed (Oct 2026), Indeed (senior) (Oct 2026), Payscale (Oct 2026).
Pay researched on 27 Oct 2026.
Your CV for a data analyst job
A data analyst CV is read twice: first by the hiring software, which looks for the words of the ad, then by a manager, who looks for decisions your analysis changed. Write for both.
Use the words the ads use
- Name your tools exactly as the ad does: "SQL", "Power BI", "Tableau", "Excel", "Python". Say which database or warehouse you queried, such as SnowflakeAsked in 13% of data analyst ads (as of 5 Nov 2026).A cloud data warehouse: large tables, fast SQL, and costs that depend on how you query. depends on the provider or BigQuery.
- Put a short skills line near the top: SQLAsked in 57% of data analyst ads (as of 5 Nov 2026).The core tool: joins, grouping, window functions and checking your own results, on real company data., ExcelAsked in 16% of data analyst ads (as of 5 Nov 2026).Pivot tables, lookups, clean formulas and charts; still where many business users read and check numbers., your dashboard tool such as Power BIAsked in 36% of data analyst ads (as of 5 Nov 2026).Build reports and dashboards: data models, measures and refresh schedules; common where firms run Microsoft. depends on the provider, and PythonAsked in 40% of data analyst ads (as of 5 Nov 2026).Python for analysis: pandas for tables, charts, and scripts that automate a monthly report. or RR for statistics and reports; common in research, health and public-sector teams. if you use them.
- Name the kind of analysis: reporting, dashboards, A/B tests, forecasting, funnel or cohort analysis.
- Only list what you could discuss for ten minutes. Every tool on the CV can become an interview question.
Prove each skill
A tool in a list proves nothing. A line under a job proves it: the question, what you built or found, and what changed because of it, such as money, time, customers or a decision.
| Skill | Weak line | Strong line, with proof |
|---|---|---|
| SQL | Advanced SQL. | Wrote the SQL behind the weekly sales report for 40 stores; finance stopped its manual checks, saving a day a week. |
| Power BI | Built dashboards. | Built a Power BI dashboard used by 60 sales managers each week; stock-outs fell by 12% after its launch. |
| Excel | Excel expert. | Replaced 9 linked spreadsheets with one checked model; month-end close went from 5 days to 3. |
| A/B testingAsked in 12% of data analyst ads (as of 5 Nov 2026).Averages and spread, sampling, significance and confidence intervals; enough to say how sure a finding is. | Analysed experiments. | Analysed 20 email A/B tests; the winning subject lines raised opens by a fifth. |
| Python | Python. | Automated a monthly report in Python; 2 days of copy and paste became a 5-minute run. |
Never claim what you did not do. A portfolio project counts: say what it is, link it, and describe its results the same way.
How we read our data
- The jobs: the data analyst jobs in our job search, matched the same way the search matches them. Our list is not the whole market, so we give shares and rankings, never counts.
- The skills: we read a sample of the ads every day and count the skills in them with a fixed word list. We keep only the counts, never the ad text.
- Pay: from published salary research, with each source and its date, as a range from entry level to senior. It is not worked out from our ads.
- Dates: every figure is worked out again each day, and shows the day it was worked out.
Frequently asked questions
- What does a data analyst do?
- Gets, checks and analyses data to answer business questions, and shows the answers in reports, charts and dashboards that people use to decide.
- Which tools should a data analyst learn first?
- SQL, then Excel, then one dashboard tool such as Power BI or Tableau. Python or R come next and set you apart.
- Do I need a degree to become a data analyst?
- Many ads ask for one, often in a numerate subject, but proof counts: a portfolio of real analyses with clear results can open doors.
- What should a data analyst CV show first?
- Two or three analyses or dashboards with the decision they changed, then a short skills line in the words of the ad.
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