Nscale
Payroll Analyst - International

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Why Nscale?
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Job Summary
The Payroll Analyst with a focus on data plays a critical role in ensuring accurate and timely processing of payroll data while also providing analytical insights and reporting. You will be responsible for analysing payroll data, identifying trends, and developing actionable recommendations to improve payroll processes. This position requires strong analytical skills, attention to detail, and a deep understanding of payroll systems and data analysis techniques.
Key Duties
- Liaise with internal HR partners to collect, analyse, and validate payroll data to ensure accuracy, understanding, completeness, and compliance with relevant regulations.
- Develop and maintain reports, dashboards, and metrics to track key payroll performance indicators.
- Identify trends and patterns in payroll data to proactively identify areas for process improvement, cost savings, or compliance enhancements.
- Collaborate with cross-functional teams, including HR, finance, and IT, to gather data requirements and streamline data flows.
- Conduct regular audits of payroll data to identify discrepancies or errors and implement corrective actions.
- Participate in discussions with vendors regarding payrolls to ensure proper handling of issues and use of controls to mitigate risk.
- Prepare and distribute payroll reports to stakeholders, ensuring timely and accurate delivery of information.
- Perform data reconciliations between payroll and other systems, investigating and resolving any discrepancies.
- Stay updated with payroll regulations, tax laws, and compliance requirements to ensure data accuracy and adherence to legal standards.
- Support payroll system implementations, upgrades, and enhancements by providing data analysis and testing expertise.
- Assist with ad-hoc data requests and provide data-driven insights to support payroll-related decision making. As well as assisting the team with wide initiatives and projects, as needed.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications & Skills
- Bachelor’s degree in finance, accounting, data analytics, or a related field.
- Proven experience as a Payroll Analyst or similar role, with a strong focus on data analysis.
- In-depth functional knowledge of payroll processes, systems, and data management.
- Proficiency in data analysis tools, such as Microsoft Excel, SQL, or other data manipulation software.
- Familiarity with payroll systems (e.g., Cloudpay, Workday, ADP) and their data structures.
- Strong analytical and problem-solving skills, with the ability to interpret and present complex data in a clear and meaningful way.
- Attention to detail and a commitment to data accuracy and integrity.
- Uses initiative to solve problems and questions the why and the how.
- Excellent communication skills, both written and verbal, with the ability to effectively convey insights and recommendations to stakeholders.
- Knowledge of payroll regulations, tax laws, and compliance requirements.
- Experience in report/dashboard development and data visualization techniques.
- Experience with data reconciliation and data quality assurance processes.
- Knowledge of statistical analysis techniques and forecasting models is a plus.
- Familiarity with HRIS systems and data integration is advantageous.


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