GoCardless

Bank Payment

DataAnalyst(12monthFTC)

€2–3k Riga, Latvia CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst (12 month FTC) at GoCardless. Skills: BigQuery SQL, Looker, Data Modeling, Automation. Own the data and reporting layer. Replace manual spreadsheet workflows”

What You'll Achieve.

Improve payment success; Reduce fraud; Make faster, more informed decisions; Reduce dependence on spreadsheets

Industry & Context.

Bank Payment
Problems you'll solve

Translate ambiguous requests into well-defined data problems

What They're Looking For.

Must Have

BigQuery SQL skills, hands-on experience building in Looker, writing LookML, deep familiarity with service desk/help desk systems e.g. Zendesk, Zendesk reporting, automating manual reporting workflows, reducing dependence on spreadsheets, working across multiple operational teams simultaneously, managing competing priorities, stakeholder expectations, experience with BI tools, comfortable switching between platforms, communicate clearly with non-technical stakeholders, translate ambiguous requests into well-defined data problems

Nice to Have

Familiarity with Zendesk and Bob integrations, or similar tooling ecosystems

What You'll Do.

Own the data and reporting layer

Replace manual spreadsheet workflows

Automate self-serve dashboards

Build scalable data models

Design analytics infrastructure

Automate manual reporting workflows

Reduce dependence on spreadsheets

Provide actionable dashboards

Provide actionable reports

How You'll Work.

Team & Collaboration

Working across teams; Understand how different operational teams work; Translate reporting needs into scalable solutions; Comfortable working across multiple operational teams; Manage competing priorities; Manage stakeholder expectations

Communication Scope

Communicate clearly with non-technical stakeholders

Full Job Description

About us GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We’re committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help! And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply! The role As an Operations Analyst, you will own the data and reporting layer across our Merchant Operations function - replacing manual spreadsheet workflows with automated, self-serve dashboards and scalable data models. You will design and build the analytics infrastructure that our KYC, Customer Support, Technical Operations, Fraud Operations you write clean, efficient queries and know how to optimise them Working across teams - you like understanding how different operational teams work and translating their reporting needs into something scalable Ownership - you want to own the analytics layer end to end, not just fulfil ticket requests, and you care about data quality and trust Continuous improvement - you proactively identify where processes are fragile or manual and propose better approaches You deliver not just plain data, but provide actionable dashboards and reports What e

Free ATS check

Applying for this Data Analyst (12 month FTC) role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about GoCardless?

Real rants from real employees. Read before you apply.

Read Company Rants →