Data analyst jobs with skills, salary and location context
Find active data analyst jobs and compare SQL, reporting, experimentation and domain requirements with salary and workplace facts.
Search data analyst jobs →Use the listing facts to decide where to spend your time.
Data analyst roles vary between business reporting, product analytics, operations, finance and research. Read the expected decisions and stakeholders alongside the tool list.
Strong applications connect analysis to a real outcome: a decision improved, a process changed or a risk identified. Keep the evidence specific without adding invented metrics.
What a data analyst usually does
Data analysts turn business questions into reliable analysis, reporting and decisions. Some roles center on dashboards, while others emphasize experimentation, operations, finance or product work, so domain and stakeholder needs deserve close attention.
Define the question
Clarify the decision, metric and population before querying data or building a report.
Check and analyze data
Clean inputs, investigate anomalies and use an appropriate analytical method.
Communicate a decision
Explain findings, limitations and recommended action to the people who will use the work.
Read the evidence behind the skill list.
Job titles overlap, and the same skill can mean different work in different teams. Use the employer responsibilities and required experience to decide whether your evidence is close enough.
- SQL
- Accurate joins, aggregations and readable queries.
- Data quality
- Validation, definitions and investigation of unexpected values.
- Visualization
- Charts and dashboards designed for a real decision.
- Statistics
- Methods matched to the question and the limits of the data.
- Stakeholder work
- Requirements, explanation and follow-through after analysis.
Current matching jobs
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Open job search →Questions worth answering before you submit
- Identify the business questions the analyst will own.
- Check required SQL, BI and statistical methods.
- Look for domain and stakeholder expectations.
- Show the result of past analysis in your CV.
Show work you can explain in an interview.
- Connect each analysis to a decision, change or identified risk.
- Name the dataset and method without exposing confidential values.
- State limitations rather than presenting correlation as proof of cause.
Questions candidates ask about data analyst jobs
Do data analysts need Python?
Some do and some do not. Check whether the role emphasizes SQL and BI reporting, statistical analysis, automation or data products.
What should a portfolio project include?
Show the question, data checks, method, result and limitation. A polished dashboard alone does not explain analytical judgment.
How should I describe business impact?
Use a verified decision or process outcome. If revenue attribution is uncertain, describe the action your work informed instead of inventing a financial claim.