Role snapshot
A Finance Data Analyst focuses on data modelling, reporting and analytics for finance teams. This page shows what to put on a Finance Data Analyst CV, which skills and keywords to include, how to write achievement bullets and which qualifications strengthen your application.
Professional summary starter
Finance Data Analyst with [X] years of experience in data modelling, reporting and analytics for finance teams. Strong in sql and data modelling, power bi or tableau dashboards and data cleaning and reconciliation, using SAP / Oracle / Dynamics and Tally Prime. Known for [one measurable result] and for working closely with colleagues across finance and the business. Seeking a Finance Data Analyst role where I can add measurable value.
Replace each [bracket] with your own facts. Edit the wording until it sounds like you.
Core skills to show
SQL and data modellingPower BI or Tableau dashboardsData cleaning and reconciliationAutomation with Excel or Python
Related keywords recruiters search for
SQL and data modellingPower BI or Tableau dashboardsData cleaning and reconciliationAutomation with Excel or Pythonaccounts payableaccounts receivablethree-way matchcash applicationDSOvendor managementorder-to-cashprocure-to-payreconciliationSLAprocess improvementautomation
Tools and standards
Tools
- SAP / Oracle / Dynamics
- Tally Prime
- MS Excel (advanced)
- SQL
- Power BI / Tableau
- Ticketing and workflow tools
Standards and frameworks
- Process and controls frameworks
- SLA and KPI management
- Data governance
Achievement bullet ideas
Start each bullet with a strong verb and add a number, scale or time saved.
- Built [X] dashboards used by [X]+ finance and business users
- Automated [X] manual reports, saving [X] hours a month
- Reconciled data between [system A] and [system B] with [X]% accuracy
- Processed [X]+ transactions a month with [X]% accuracy and met [X]% of SLAs.
Suggested CV structure
- Professional summary
- Core skills and tools
- Experience
- Education
- Certifications
- Key achievements
- Languages, awards and optional sections
Quantify volume, accuracy and SLAs. Show improvements: days reduced, errors removed, hours saved.