What are good performance review examples for a Data Analyst?

"Found the customer segment driving 80% of churn that the team had not identified—analysis changed the CS priority list entirely." "Every analysis includes methodology notes—the work can be reproduced and reviewed by anyone on the team." "The pricing analysis they ran changed the Q3 pricing strategy—and the new pricing produced a 14% ASP improvement."

How do you write a performance review for a Data Analyst?

A strong Data Analyst performance review leads with impact and behavioral evidence. Focus on analysis quality, business impact, data storytelling. Avoid vague phrases—use specific examples tied to outcomes.

Data Analyst Performance Review Examples

Name: Data Analyst Performance Review Examples
Brand: Confirm
Price: 8.00 USD
Availability: InStock

Data analyst reviews should measure decision impact, not query volume. The right question is whether the analysis is actually changing how the business operates. These examples capture analytical rigor, the quality of insights surfaced, stakeholder communication, and whether this analyst is building analytical capability across the org.

See how Confirm automates reviews →

Analysis Quality

Accuracy, depth, and relevance of analytical work.

Exceeds

Analysis is accurate, well-documented, and surfaces non-obvious insights. Assumptions are explicit.

Meets

Analysis is accurate and responsive to business questions. Documentation is adequate.

Below

Analysis contains errors or surfaces only obvious insights. Assumptions are implicit.

Example review phrases

"Found the customer segment driving 80% of churn that the team had not identified—analysis changed the CS priority list entirely."
"Every analysis includes methodology notes—the work can be reproduced and reviewed by anyone on the team."

Business Impact

Whether analysis changes decisions and drives business outcomes.

Exceeds

Analysis directly changes major business decisions. Leaders cite their analysis in strategic discussions.

Meets

Analysis informs decisions. Work is used and valued.

Below

Analysis is conducted but rarely changes decisions.

Example review phrases

"The pricing analysis they ran changed the Q3 pricing strategy—and the new pricing produced a 14% ASP improvement."

Data Storytelling

Ability to communicate analytical findings clearly to non-technical stakeholders.

Exceeds

Findings are communicated in plain language with clear implications. Executives can act on their analysis without translation.

Meets

Findings are communicated clearly to technical audiences. Some translation needed for executives.

Below

Findings are communicated in technical language. Business leaders cannot act on outputs without help.

Example review phrases

"CEO said: 'They're the only analyst whose charts I understand without a separate explanation.'"
"Dashboard they built is used by the exec team in every Monday meeting—no analyst interpretation needed."

🔮

Where do these examples come from in real reviews?

Most managers write performance reviews from memory—limited to what they personally observed. Confirm surfaces behavioral evidence from across the organization: who relied on this person, what they drove, how their impact extended beyond their direct manager's line of sight. Reviews written with Confirm's data are more accurate, more defensible, and faster to write.

See Confirm in action →