About us

GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.

We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless.

Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach.

The Role

We are looking for a Junior Data Analyst to help support our growing business and build out our data capabilities. You will be working with the Analytics team collaborating with teams across business services to build efficiencies which support day to day functions. You will support people across the company by building self-serve analytics content across our analytics tooling - we’re using dbt, Looker, Fivetran, BigQuery and Amplitude at GoCardless. You’ll support the dashboards and underpinning models that enable deep insight into a fast-growing business and develop an expert knowledge of all areas of our operation. You’ll help people in all areas of GoCardless make better, faster, more data-driven decisions. Analytics is part of our Data & Business Systems Group which at its heart exists to maximise day-to-day efficiency and productivity within GoCardless. We do this by bringing together teams that span data & technology to provide a 1 stop shop for our customers.

The main elements of this role will involve

Data collection: Identifying relevant sources, specifying data requirements, and retrieving the data.
Data cleaning: Inspecting the data, handling missing values and outliers, transforming the data, standardising formats, and validating the cleaned data
Data visualisation: Using visualisations to tell data stories to a variety of audiences.
Data analysis: Interpreting results, finding insights, and spotting trends and fluctuations.
Documentation: Documenting the information and content that will be consumed and processed.
Assisting the team: Helping members of the team across various analytics projects, namely building dashboards, supporting pipelines, data cleansing, and providing insights, to name a few.

What excites you

Kicking off a data-related career
You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve problems with data
You’re used to sharing your technical work with others around you
Working on data and pipeline improvements
Working within the data team managing data support tickets
Opportunities to learn more about data operations, engineering, and analysis

What excites us

Interest in data, analytics, dashboard building
Attention to detail & and an ability to solve complex problems
Great team-working skills
Strong written & verbal English
You can communicate your work clearly to technical and non-technical audiences.
An understanding of how important clean, accurate, and trusted data is for running a business
A basic understanding of SQL and Data / BI tools
Preferred: An understanding of working in an agile environment at pace

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: 20,000 EUR - 30,000 EUR

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.