Invoice clients for data analysis, SQL queries, dashboards, and business intelligence reports. Tidybill makes invoicing simple.
A data analyst invoice covers work analysing datasets, building reports, creating dashboards, and providing insights that help businesses make informed decisions. Data analysts typically work with SQL, Excel, Google Sheets, and BI tools like Tableau, Power BI, or Looker. Unlike data scientists, analysts focus on descriptive and diagnostic analysis (what happened and why) rather than predictive modelling. Freelance data analysts are hired for one-off reporting projects, ongoing dashboard maintenance, or ad-hoc analysis to support business decisions. Invoices should clearly describe the analysis performed, the datasets or tools used, and the deliverables produced. Many clients have limited technical knowledge, so plain-English descriptions of what was done and what decisions the analysis can inform are helpful notes to include on or alongside the invoice.
| Service | Typical Rate | Unit |
|---|---|---|
| Data analysis (hourly) | 60 | hour |
| Monthly analytics report | 400 | report |
| Dashboard build (Power BI/Tableau/Looker) | 900 | project |
| SQL database analysis and reporting | 700 | project |
| Data audit and quality assessment | 500 | project |
| Stakeholder training session | 350 | session |
For ongoing reporting work, invoice monthly with a summary of reports produced, dashboards updated, and ad-hoc analyses completed. For project-based work, invoice on delivery. Include a brief plain-English summary of findings or deliverables alongside the invoice. This adds perceived value and reduces client questions about what they paid for. Net 14 to net 30 payment terms are standard.