FICTIONAL BENCHMARK RESUME — data-reporting-evidence — version 1

Candidate DATA-01
Data Analyst
Adelaide, SA | data01@example.com | https://example.com/data-reporting-evidence

SUMMARY
Data analyst with SQL, Python and reporting experience for operations stakeholders. The record includes a reporting automation result, dashboard use and data-quality work. Experiment analysis is limited to reviewing data from tests designed by another team.

EXPERIENCE
Data Analyst | Fixture Reporting Company (fictional) | Jan 2022–Aug 2025
• Automated weekly customer reporting with SQL and Python, reducing preparation time from six hours to 40 minutes.
• Maintained a Looker dashboard used by 45 operations stakeholders.
• Added null, row-count and reconciliation checks; recurring reporting defects fell by 31% in the following quarter.
• Analysed results from four onboarding tests designed by the product team; did not design randomisation or choose sample sizes.
• Presented weekly reporting definitions and caveats to customer operations managers.
• Queried PostgreSQL reporting tables and documented the source of each dashboard metric.

SKILLS
SQL | Python | PostgreSQL | Looker | Reporting automation | Reconciliation | Data communication

EDUCATION
Bachelor of Business Analytics | Example University (fictional) | Completed 2021

ADDITIONAL INFORMATION
All candidate, employer and education details are fictional. The statements in this document are the complete source record for this benchmark case; no extra career facts are supplied by links or attachments.