Junior Data Analyst — Finance & Insights

Harvey Nash Poland; Warszawa; Hybrid; PLN 48,000 - 76,000; Full time

Job summary

Harvey Nash Poland is seeking a data analyst-in-training to collect and validate financial, operational, and performance-related data from external stakeholders in a Warsaw-based hybrid role.

You will maintain data points across internal platforms, perform quality reviews, and analyze trends to highlight exceptions for leadership. The position requires strong analytical skills, familiarity with financial markets, and advanced Excel abilities.

Qualifications

• Bachelor's degree (completed or in progress) in Finance, Economics, Accounting, Mathematics, Business, or a related field.
• 0-2 years of experience in financial analysis, investment operations, risk, data analysis, or a similar role.
• Strong analytical mindset and attention to detail.
• Good understanding of financial markets and investment products.

Responsibilities

• Collect and validate financial, operational, and performance-related data from external stakeholders.
• Maintain and update key data points within internal platforms and reporting tools.
• Perform data quality reviews and ensure completeness, consistency, and accuracy of information.
• Analyze trends and highlight potential exceptions or areas requiring further investigation.
• Prepare reports and support teams responsible for financial and business assessments.
• Partner with internal stakeholders to improve data quality, reporting processes, and operational efficiency.

Skills

Advanced Excel

Pivot Tables

Lookups

Data analysis

Education

Bachelor's degree (Finance, Economics, Accounting, Mathematics, Business or related)

Tools

SQL

Python

VBA

Power BI

Job description

Harvey Nash Poland is seeking a data analyst-in-training to collect and validate financial, operational, and performance-related data from external stakeholders in a Warsaw-based hybrid role.

You will maintain data points across internal platforms, perform quality reviews, and analyze trends to highlight exceptions for leadership. The position requires strong analytical skills, familiarity with financial markets, and advanced Excel abilities.