Resume example
Career-change resume example.
A fictional resume for a former accountant moving into data analysis. Shows how to explain the transition clearly, make transferable experience legible, and lead with recent evidence without hiding the past.
Every name, employer, and figure here is invented. Use it to learn structure, not content.
Nida Sattar
Data Analyst (career change from accounting)
- nida.sattar@example.com
- +92 300 5558888
- Karachi, Pakistan
- github.com/example-nida-sattar
Summary
Former accountant (five years in audit) moving into data analysis after completing a data analytics program and shipping three end-to-end analysis projects using Python, SQL, and Tableau. Bringing years of practical experience with financial data, reconciliation, and stakeholder reporting. Looking for a data analyst role where finance domain knowledge is a real advantage.
Relevant Projects
Customer Churn Analysis
2024Personal project · github.com/example-nida-sattar/churn-analysis
- Analysed a public telecom churn dataset (~7,000 rows) using Python (pandas, scikit-learn) to identify the factors most associated with customer churn.
- Built a logistic regression model and a Tableau dashboard presenting the top findings; the dashboard highlighted contract length and service calls as the strongest signals.
- Wrote up the analysis as a short report aimed at a non-technical reader, with recommendations structured as if for a business audience.
Financial Reporting Automation
2024Personal project · github.com/example-nida-sattar/reporting-automation
- Built a Python script that automates monthly management reporting from CSVs (previously done manually in Excel); reduced report preparation from ~4 hours to ~10 minutes.
- Handled missing data and inconsistent date formats with explicit cleaning steps and error logging.
Experience
Senior Accountant
Mar 2021 – Aug 2024Meridian Textiles · Karachi
- Reconciled and analysed financial data across two business entities with combined monthly revenue of about PKR 120M; identified and corrected data quality issues in monthly reporting datasets.
- Owned month-end close and produced the monthly management pack for the finance director; the pack included variance analysis and commentary on trends against prior months and budget.
- Built Excel-based analysis to model cost scenarios for a supplier renegotiation; the analysis supported a negotiation that reduced an annual supplier cost line by ~6%.
- Worked closely with engineering and IT during an ERP migration to validate data and reconcile opening balances — experience that involved understanding how source systems store structured data.
Audit Associate
Sep 2019 – Feb 2021Faroq & Partners (Chartered Accountants) · Karachi
- Performed audit fieldwork for 15+ client engagements, testing figures and reconciling data from source systems against ledger records.
- Wrote findings and analysis for final audit reports used by senior auditors and client finance teams.
Education & Training
Data Analytics Program (Certificate)
20249-month online program · Python, SQL, statistics, data visualisation
BCom (Accounting and Finance)
2015 – 2018University of Karachi
Skills
- Python (pandas, NumPy)
- SQL
- Tableau
- Excel (advanced)
- Data cleaning
- Statistical analysis
- Stakeholder reporting
- Financial data
What makes this career-change resume work
1. The summary explains the transition
The summary answers the three questions a hiring manager will have about a career-change candidate: what were they doing, what have they done recently that's relevant, and what are they aiming for now. Without this, a reader would look at five years of accounting and be confused about why the application exists. With it, the reader has a clear story before they see a single bullet.
2. Recent evidence comes before old experience
The "Relevant Projects" section is placed above the accounting experience. This is a deliberate structural choice: the reader sees new-field evidence first, then gets the historical context. If the old experience came first, the reader would spend the first half of the resume wondering why they're reading an accounting resume for a data role.
3. Old bullets are reframed honestly
Compare the old accounting work to how it's described here. "Reconciled monthly accounts" has become "Reconciled and analysed financial data ... identified and corrected data quality issues in monthly reporting datasets". The work is the same; the framing is aimed at a data-analyst reader. Crucially, nothing is misrepresented — she really did reconcile and correct data.
4. The ERP migration bullet bridges the two fields
The ERP migration bullet is a small piece of strategic writing. Accounting ERP work is legitimately relevant to data analysis — it involved data validation, reconciliation, and understanding how source systems store structured data. By naming these aspects explicitly, the bullet makes a legitimate bridge between the old role and the new one.
5. Transferable financial domain knowledge is framed as an asset
"Looking for a data analyst role where finance domain knowledge is a real advantage" tells the reader which roles she's targeting. This is a legitimate positioning strategy: analysts with finance experience are genuinely valuable to fintech, banking, and finance teams. Positioning the transition this way is honest and useful.
6. Training is listed with specifics
"Python, SQL, statistics, data visualisation" specifies what the training actually covered. Many career-change resumes list a bootcamp name and stop there; a reader can't tell what was covered. Listing the topics makes it verifiable and lets the reader assess the training's relevance.
7. Projects have links and outcomes
Both projects include GitHub links. Both include real outcomes ("reduced report preparation from ~4 hours to ~10 minutes"). This is the difference between claiming analytical skills and demonstrating them.
Career-change mistakes this example avoids
- Hiding the previous career. Dates make it visible anyway, and hiding looks evasive. The resume is honest about five years in accounting — it just leads with the evidence that matters for the new role.
- Apologetic language. No "although I lack experience in..." or "transitioning from..." in apologetic tone. The transition is stated plainly as a fact.
- Overclaiming new-field expertise. "Data analyst" is the target, not the current title. Project work is called "personal projects", not "professional experience". The framing is accurate.
- Ignoring the old field. The accounting experience is included, reframed, and framed as an asset. It's not hidden or apologised for.
- Dropping the old degree. The BCom is listed honestly in Education — it doesn't compete with the new training, it sits alongside it.
Related resources
Open the builder with a modern corporate template, and reorder sections per the structure above (Summary → Relevant Projects → Experience → Education → Skills).