Senior Data Analyst - Finance

Description

The company helps businesses operate and grow globally through business accounts, hedging, financing and a proprietary platform, and has been in fintech since 2009 with over 2000 staff across nearly 70 cities.

The Data Analytics and Reporting team builds and runs the company's data platform, which supports internal decisions, Treasury position and risk monitoring, regulatory reporting and commercial opportunities.

The role is a Data Analyst position in the Treasury domain, based in Málaga or Madrid (Spain), hybrid with 4 days in the office and 1 day from home per week.

The team works with Treasury, Product and Tech on projects such as reconciling mark-to-market valuations with the Treasury reporting system, analysing cash operating charges to lower Treasury costs, analysing liquidity to help the ALM team meet daily obligations, and building AI agent workflows to automate routine data work and support decisions.

Responsibilities

• Model data on the collaborative data platform to support Treasury analysis, reports and reconciliations.
• Own Treasury solutions across all of the company's jurisdictions, from gathering requirements and building optimised data models to delivering reports to Treasury stakeholders and auditors.
• Build and maintain dashboards and visualisations with the company's BI tools so Treasury teams can track reporting and controls.
• Work day to day with the other Data Analysts, Analytics Engineers, Data Engineering, Treasury and Product teams.

Requirements

• Advanced SQL, including reading and writing complex queries.
• At least 4 years of experience in data or business analytics.
• Strong problem-solving and analytical skills, with close attention to detail.
• Ability to organise, manage and present data clearly, concisely and in an actionable form.
• Ability to work autonomously and manage your time well.
• Comfortable in a fast-paced, demanding environment.
• Fluent English.
• Experience with the modern data stack: dbt, Google Cloud Platform (BigQuery, Data Studio) and Sigma.
• Experience with Python.
• Experience in financial services or capital markets, such as FX, payments, money markets or treasury management.
• Experience in Treasury or Finance analytics.
• Experience with the modern data stack (dbt, Google Cloud Platform (BigQuery, Data Studio), Sigma) and Python are listed as nice-to-haves; prior Treasury or Finance experience and financial services or capital markets experience are also nice-to-haves.

Conditions

Hybrid work in Málaga or Madrid (Spain): 4 days in the office and 1 day from home each week.

Applications only through official company channels; the company contacts candidates only from an company's site address and never asks for payment during recruitment.

The company uses AI tools for administrative steps in recruitment, but all hiring decisions are made by people.

The company welcomes applicants of every background and does not tolerate discrimination.

Benefits

• Competitive salary.
• Private health insurance, a Gympass membership and access to Meditopia.
• 23 days of annual leave plus your birthday off.
• Support for career progression in data and analytics.
• Language courses and other personal development.
• Work in a collaborative setting on a new data infrastructure built on a modern data stack.
• Flexible working arrangements.
• In-person off-sites and virtual get-togethers.