A Data Analyst turns data into evidence for business decisions. The role combines querying, validation, interpretation and communication to explain what changed, why it matters and what the available information can support.
What does a Data Analyst do?
The scope depends on the product and team. Typical responsibilities include:
- Translate stakeholder requests into measurable questions and clearly defined metrics.
- Check joins, missing values, duplicates and the population represented in the data.
- Build dashboards and analyses that help stakeholders investigate relevant segments.
- Separate observations from explanations and communicate uncertainty and limitations.
Key Data Analyst skills to assess
SQL; spreadsheets; business metrics; basic statistics; visualisation; stakeholder communication. Power BI, Tableau or another reporting tool may be required. Python and R can be useful but do not replace analytical reasoning.
Separate day-one requirements from skills a candidate can learn. Ask which decisions they owned and how they checked results. A technology listed on a CV does not establish hands-on depth.
A practical example of the role
When conversion falls, an analyst first checks tracking and metric definitions. They compare equivalent periods and segment by device or acquisition source before suggesting explanations or recommending a product change.
How this role differs from related positions
Data Analysts usually focus on measurement and decision support. Data Engineers own pipelines and models behind datasets. Data Scientists may use experimental or predictive methods, although boundaries vary with team size.
How to hire a Data Analyst
Define the work before starting the search: your existing system, delivery stage, expected ownership and who will review technical decisions. Align the seniority, working format and communication requirements with those responsibilities.
Use a relevant technical discussion or work sample to explore these questions:
- How do you check whether a join inflates a metric?
- Describe an analysis that changed a stakeholder’s assumption.
- How would you distinguish a reporting error from a genuine business change?
Look for a clear explanation of the candidate’s own contribution, trade-offs and lessons from unsuccessful approaches. Match the assessment to the actual role rather than relying only on tool names or a generic quiz.
Frequently asked questions
Does every analyst need machine learning skills?
No. Reliable metrics, SQL and clear interpretation may be the core requirements. Add machine learning only where the work calls for it.
What should a Data Analyst job description include?
Include business context, core tasks, existing stack, expected seniority, reporting line and success criteria. Add the salary range, location or time-zone requirements and working format where available. Distinguish essential requirements from preferences.
Find the right Data Analyst for your team
Web Recruiters helps companies search for technical specialists across Europe, Israel, the USA, Canada and Latin America. A dedicated manager coordinates the search and feedback. Initial screening can cover English, salary expectations, availability, working format and agreed client criteria. The client normally makes the final technical assessment; additional technical interviews can be discussed separately.
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Related technology roles
Further technical reading: Data engineering competencies — Google Cloud.