About the Position

Financial Product Data Analyst

Location: Barcelona, Catalunya [Cataluña], Spain
Type: FULL_TIME
Tech: Hybrid

About seQura

seQura provides innovative, flexible, and easy-to-use payment technologies that help merchants acquire, convert, and retain more customers. We tailor our solutions to different sectors, delivering superior results in Retail, Education, Eyewear, Repairs, and Travel. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. We are trusted by over 6000 businesses, almost 3 million shoppers, and almost 400 employees, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.

About the Role 🤓

Finance at seQura runs on data: recurring calculations, regulatory processes, provisioning, reporting cycles, and profitability tracking. As a Senior Financial Product Data Analyst, you'll own the link between how Finance actually works, the KPIs it tracks, and the decisions those KPIs drive, turning that understanding into reliable, self-service data products.

This isn't a "receive a ticket, write a query" role. You'll work closely with Finance and Finance Tech teams to understand why a number matters before you model it, then build trusted data products that Finance teams can use independently.

Your work will directly improve how Finance operates, helping establish a single source of truth for revenue, enabling self-service reporting, and ensuring the business can make confident decisions based on reliable data.

Responsibilities

Learn seQura's Finance domain deeply enough to understand which KPIs matter, why they matter, and the business decisions they support-from pricing and provisioning to servicer settlement and product profitability.
Design and build production-grade data products, not just queries: dbt models on Redshift, fully documented and tested to Single Source of Truth standards, together with the Metabase dashboards and self-service datasets that sit on top of them.
Partner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models.
Validate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready.
Chase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds.
Help close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation.
Present findings, recommendations, and new data products directly to Finance leadership, connecting the data back to the business decisions it's meant to support.
Contribute to broader Data & AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance.

Requirements

Must have:

5+ years of experience as a Data Analyst or Analytics Engineer.
Strong hands-on SQL skills.
Practical experience with dbt, including data modeling, testing, and documentation.
Experience building dashboards and self-service data products using Metabase (or an equivalent BI platform).
Demonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic.
Strong business mindset, with the ability to connect KPIs to the decisions they support.
Fluent English.

Nice to have:

Experience in fintech, lending, or BNPL environments.
Knowledge of provisioning, amortisation, EIR, or IFRS 9.
Python for analysis or lightweight automation.
Experience with data governance or catalog tools such as OpenMetadata.
Experience with orchestration tools such as Airflow.
Experience presenting data products directly to Finance or executive stakeholders.

We Offer

23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts.
Flexible working hours.
A personal budget for professional development.
Office workshops and meet-ups to encourage community participation and career growth.
Hybrid work from Barcelona.
Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness).

About the Company

We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.

We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.

Do you want to be part of the change? Join us!👇

Next Steps

Interview with People Team
Hiring Manager interview
Technical take-home assessment (async)
Live Peer review of the assessment
Meet the team

We kindly ask that you submit your CV in English, as it is the official language of our community.

Financial Product Data Analyst

Job description