Finance Data Analyst

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Finance Data Analyst based in Switzerland.

As a Finance Data Analyst, you will transform complex financial and operational data into reliable insights that support strategic decision-making and business performance. You will bridge the gap between Finance and technical teams, ensuring data is consistent, accessible, and actionable. Working across finance, revenue, operations, HR, and cloud infrastructure systems, you will help structure datasets, improve reporting, and automate recurring analyses. You will play a key role in strengthening data quality, standardizing financial metrics, and improving forecasting and performance monitoring. In a fast-evolving, technology-driven environment, you will collaborate with cross-functional stakeholders to build scalable reporting processes and support future analytical initiatives. This is an opportunity to combine financial expertise, technical skills, and business curiosity to deliver measurable impact.

Accountabilities:

- Map and document financial and corporate data sources, systems, ownership, definitions, and data flows to improve transparency and consistency.

- Identify data gaps, inconsistencies, duplication, and reconciliation issues across accounting, billing, CRM, HR, payroll, cash management, and expense-management systems.

- Define data requirements for monthly closing, budgeting, forecasting, and management reporting, ensuring key financial and operational metrics are clearly defined and consistently calculated.

- Explore, transform, and model data from data warehouses and connected business systems to create reliable, reusable, and well-documented datasets.

- Reconcile data across multiple sources and investigate discrepancies to improve the accuracy and reliability of financial and corporate reporting.

- Produce recurring financial analyses, dashboards, and reporting to support leadership decisions, including budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS performance analysis.

- Collaborate with data engineering teams and system owners to improve integrations, transformations, data accessibility, and quality checks.

- Automate recurring reporting, reconciliations, and analytical workflows where automation can deliver meaningful efficiency gains.

- Maintain documentation covering data lineage, metric definitions, business rules, assumptions, and known limitations.

- Contribute to data governance and quality monitoring, preparing reliable datasets for forecasting, anomaly detection, and future AI-driven use cases.

- Handle confidential financial, HR, and payroll information with discretion, accuracy, and a strong commitment to data protection.

Candidates who meet most, but not necessarily all, of these requirements are encouraged to apply. A strong willingness to learn, analytical thinking, and the ability to demonstrate relevant skills are equally valued.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.