Financial Analyst résumé example
A financial analyst is hired for the quality of the numbers and the speed of the close, so the résumé has to carry both: the size of the budget owned, how far forecast error fell, how many days came off month-end. This example states the scale in the first line, makes every bullet a model, a report or a decision with a measured effect, and keeps the qualification path (CIMA, CFA Level I) visible without letting it crowd the work.
Financial analyst with six years in FP&A across retail and energy. Owns the £420m revenue budget and monthly forecast for a 300-store retailer, cut forecast error from 6.1% to 2.4% with a driver-based model, and took three days out of month-end reporting by moving the pack to Power BI. CIMA Advanced Diploma, CFA Level I; used to presenting to directors and defending a number.
Experience
- Own the £420m revenue budget and the rolling 12-month forecast for 300 stores; business partner to four regional directors with a monthly review each.
- Built a driver-based forecast model (footfall, conversion, basket) in Anaplan; forecast error at month three fell from 6.1% to 2.4% over the first year.
- Rebuilt the month-end management pack in Power BI on top of SAP S/4HANA extracts; distribution moved from working day 8 to working day 5.
- Identified £3.2m of annual savings in store-to-store logistics by modelling route consolidation; adopted by operations and realised in full within nine months.
- Appraised £85m of capital projects with NPV, IRR and sensitivity analysis; two projects were re-scoped after the analysis and one was stopped, saving £6m.
- Automated 14 recurring Excel reports with Power Query and SQL, saving about 20 hours a month across the team.
- Rotated through FP&A, treasury and management reporting; built the cash-flow forecasting template still used by treasury.
Education
Skills
Certifications
Shown in the Harvard template
Questions
Technical enough to name the models and tools, plain enough that a hiring manager outside finance follows the result. 'Driver-based model; forecast error 6.1% to 2.4%' does both.
Yes, with the level and the parts that matter: advanced formulas, Power Query, VBA. 'Microsoft Office' on its own says nothing for this role.
In the summary as a phrase and in certifications with the stage and date. If you are part-qualified, state the papers passed or the level reached.
Say what was decided because of it: a project stopped, a saving adopted, a budget re-cut. Decisions are the output of analysis.
More examples
All examples →Certified Public Accountant with six years in corporate accounting and public audit, currently owning the monthly close for a $120M manufacturer. Cut the close from nine business days to five, cleared two years of unreconciled intercompany balances, and led the ERP migration to NetSuite with no post-migration adjustments. Precise with GAAP, patient with auditors, and fluent in explaining variances to people who do not read ledgers.
Experience
- Own the monthly close for a $120M, three-entity company; cut the close from nine business days to five with 40 templated recurring entries and automated bank reconciliations.
- Cleared $3.4M of intercompany balances that had gone unreconciled for two years; the external auditors removed the related control finding.
- Led the general-ledger migration from QuickBooks to NetSuite over seven months; opening balances tied to the penny and the first post-migration audit had no adjustments.
- Prepare monthly variance analysis for twelve cost centres; flagged a $280,000 freight overbilling that was recovered from the carrier.
- Prepared journal entries, accruals and fixed-asset schedules for 14 clinic locations; month-end binders passed review with zero reopened entries in the final year.
- Rebuilt the fixed-asset register of 2,100 items in Sage Intacct; depreciation errors found by auditors fell from 17 to none.
- Prepared and reviewed sales-tax filings in six states; no late-filing penalties in two years.
- Performed audit fieldwork for 15 private companies and non-profits with revenues of $5M to $90M; led the inventory and revenue sections on six engagements.
- Drafted financial statements and footnotes under US GAAP; partner review comments on my sections halved between the first and second busy season.
Education
Skills
Certifications
Languages
Backend engineer with six years building payment and logistics services in Go and TypeScript. Owned services handling 40,000 requests per minute, cut a core API's p95 latency by 70%, and led the migration of a monolith into twelve services without a customer-facing incident. Comfortable on call, in design reviews and in front of a whiteboard with product.
Experience
- Led the split of the order monolith into twelve Go services behind an API gateway; deploy frequency went from weekly to 30+ releases a day with zero Sev-1 incidents during the migration.
- Rewrote the rate-calculation API with cached carrier tables and request coalescing; p95 latency dropped from 820 ms to 240 ms at 40,000 requests per minute.
- Designed the event schema and outbox pattern used by 9 teams; duplicate shipment events fell to zero after rollout.
- Ran the on-call rotation for the platform group and cut paged alerts by 60% by deleting noisy checks and adding SLO-based burn-rate alerts.
- Built the direct-debit mandate service (TypeScript, PostgreSQL) that processed £1.2bn in its first year; passed the external PCI DSS audit with no findings.
- Introduced contract tests between the mobile app and the ledger API; integration bugs found in production fell from 11 to 2 per quarter.
- Mentored three graduate engineers through their first production launches; all three were promoted within 18 months.
- Delivered React and Node features for eight client projects, from a council booking system to a retailer's loyalty app.
- Set up the agency's first CI pipeline (GitHub Actions, Docker), cutting release day from a full afternoon to 20 minutes.
Projects
An open-source job queue on PostgreSQL with exactly-once delivery; 2,100 GitHub stars and used in production by at least four companies.
Education
Skills
Certifications
Languages
Product manager with nine years in B2B SaaS, the last five leading payments and billing products used by 30,000 businesses. Grew a self-serve invoicing product from launch to $18M ARR, cut involuntary churn by 28% with a smart-retry program, and justified a 15% price increase with a 400-respondent study. Known for a discovery habit of twelve customer interviews a month and roadmaps that fit on one page.
Experience
- Launched the self-serve invoicing product and grew it to $18M ARR in 30 months across 30,000 active businesses; own pricing, packaging and the roadmap.
- Designed a smart-retry and dunning program with the payments team; involuntary churn fell 28% and $1.6M in failed payments was recovered in the first year.
- Replaced quarterly roadmap decks with a one-page outcome roadmap and a weekly metric review; time from idea to A/B test dropped from 9 weeks to 3.
- Run 12 customer interviews a month; a 400-respondent pricing study justified a 15% price increase with no measurable effect on churn.
- Owned the mobile app for 6,000 field technicians; weekly active usage rose from 54% to 81% after rebuilding the job check-in flow around offline use.
- Shipped the scheduling optimizer with two engineers and a data scientist; customers reported 11% more jobs per technician per day.
- Wrote the PRDs and ran the beta for the customer portal, which became the second most used feature within six months.
- Took over the reporting module backlog; closed 60 open requests by shipping a configurable report builder now used by 70% of accounts.
- Built the first product analytics stack (Amplitude, event taxonomy) and the weekly metrics email the company still sends.