Finance Data Analyst, 4-Month FTC

Planet Paymet; Galway; Hybrid; EUR 17,000 - 23,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Analytical thinking

Attention to detail

Curiosity

Problem solving

Excel

SQL

Python

Education

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

Tools

Snowflake

SQL

Python

Streamlit

Data viz tools

Job description

About Us Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide. In recent years, we have experienced significant growth, expanding our services and global presence. With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions. Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers.

Role Overview

Are you a recent graduate looking to turn what you learned at university into real-world experience? This four-month, full-time fixed-term opportunity will give you hands‑on experience working on an important Finance data transformation project at Planet. You will help us build trusted Finance data foundations, working with real business data and gaining practical exposure to data analysis, data quality, governance, Snowflake and AI-assisted tools. You do not need to arrive as an expert. We are looking for people with strong analytical potential, curiosity, attention to detail and a desire to learn.

What you will do

• Work with real Finance data, reviewing and validating information to ensure it is accurate, consistent and reliable.
• Investigate data‑quality issues, such as duplicate, incomplete or inconsistent records, and help identify their underlying causes.
• Learn and apply data‑governance principles, using agreed definitions and quality rules and identifying opportunities to improve them.
• Use tools such as Snowflake and AI‑assisted workflows to research, compare and investigate data with support from experienced colleagues.
• Use AI responsibly to accelerate analysis while applying your own judgement and evidence before reaching conclusions.
• Document your findings and decisions, helping us build data‑quality processes that are clear, repeatable and auditable.
• Collaborate with Finance, Data and Technology teams, gaining exposure to how different areas of an international technology business use and manage data.

Who you are

• You are a recent graduate or postgraduate, ideally in Data Analytics, Data Science, Finance, Business Analytics, Information Systems or another relevant quantitative discipline.
• You enjoy working with data, solving problems and understanding why something does not look right.
• You bring strong analytical thinking and attention to detail.
• You are curious and comfortable learning new technologies, tools and business concepts.
• You approach problems methodically and use evidence to support your conclusions.
• You are interested in how AI and data technologies can solve real business problems.
• Any exposure to Excel, SQL, Snowflake, Python, Streamlit or data visualisation is an advantage, but we do not expect you to know everything from day one.

What you will gain

• Data analytics and data quality within a global technology business.
• Snowflake and modern data workflows used to investigate and manage business data.
• AI‑assisted analysis and the responsible use of AI to solve real business problems.
• Finance transformation, seeing how trusted data supports reporting, analytics, automation and AI.
• Data governance and stewardship, including how organisations define, validate and protect important data.
• Cross‑functional collaboration across Finance, Data and Technology.

Why Planet Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.

Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel‑good connected commerce.

At Planet, we embrace a hybrid work model, with three days a week in the office.

Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.

Company Background Planet provides integrated software, payment and technology solutions for its customers in the Hospitality and Retail sectors and worldwide via a network of global Financial Services Partners. Founded over 35 years ago, we have evolved our services, delivering an innovative digital commerce platform that puts customer experience first. With headquarters in London and around 3,000 expert employees located across six continents we serve customers in over 120 markets.