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Finance Data Analyst, 4-Month FTC

Pay
Pay not listed
Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
Open to new graduatesYou are a recent graduate or postgraduate, ideally in Data Analytics, Data Science, Finance, Business Analytics, Information Systems or another relevant quantitative discipline

What you’ll work on

Full posting

Are you a recent graduate looking to turn what you learned at university into real-world experience?

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.

  • Work with real Finance data, reviewing and validating information to ensure it is accurate, consistent and reliable.

  • 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.

From the employer’s posting
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.
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.
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

About Planet Payment

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.

In the employer’s words · Read in context

Apply at Planet Payment

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 43.

At Planet Payment, jobs usually come down by about day 39.

From 14,090 similar postings that came down, and 11 of Planet Payment’s. Coming down is not always a hire.

Planet Payment is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Snowflake
  • Streamlit
Where the posting names them
- 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
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
- 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.
- 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.

Your next step

Complete your application on planet.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

Over the four months, you will gain practical experience in:

  • 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.

We would love to hear from you – Apply now.

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.

Source details

View original posting ↗

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Pay

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Location & working pattern

Galway - Ireland

We would love to hear from you – Apply now. 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.
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