Graduate Finance Data Analyst – Snowflake & AI

Planet Paymet; Galway; Ibrido; EUR 17.000 - 23.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work model

Descrizione del lavoro

Planet Paymet is seeking a recent graduate for a four-month, full-time fixed-term Finance data transformation internship based in Galway. You will gain hands-on experience with real data, learn Snowflake and AI-assisted workflows, and contribute to data quality, governance and reporting foundations.

You'll collaborate with Finance, Data and Technology teams across our international business, apply analytical thinking, and develop skills in data analysis, validation, and documentation while

Competenze

• Graduates or postgraduates in quantitative fields are welcome.
• Experience with data analysis and data quality concepts is a plus.
• Exposure to SQL/Snowflake/Python is beneficial but not required on day one.

Mansioni

• Work with real Finance data to review, validate and ensure accuracy.
• Investigate data quality issues and identify root causes.
• Learn and apply data governance principles and quality rules.
• Use Snowflake and AI-assisted workflows to explore data with guidance.
• Apply evidence-based judgment before reaching conclusions.
• Document findings to support auditable data-quality processes and collaborate with Finance, Data and Technology teams.

Conoscenze

Analytical thinking

Attention to detail

Curiosity

Problem solving

Excel

SQL

Python

Formazione

Recent graduate or postgraduate in Data Analytics, Data Science, Finance, Business Analytics, Information Systems or similar

Strumenti

Snowflake

SQL

Python

Streamlit

Data viz tools

Descrizione del lavoro

Planet Paymet is seeking a recent graduate for a four-month, full-time fixed-term Finance data transformation internship based in Galway. You will gain hands-on experience with real data, learn Snowflake and AI-assisted workflows, and contribute to data quality, governance and reporting foundations.

You'll collaborate with Finance, Data and Technology teams across our international business, apply analytical thinking, and develop skills in data analysis, validation, and documentation while