Financial Product Data Analyst

About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, 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. What challenges you'll be solving 🚀 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. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. What we own The dbt transformation layer across business domains. The Single Source of Truth (SSOT) for key business metrics. Semantic models that enable consistent reporting and analytics. Data contracts and governance standards across domains. Data lineage, documentation, and discoverability. Data quality, testing, and monitoring to ensure trusted data products. Team Structure You'll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. You'll collaborate closely with FP&A, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data & AI team to ensure Finance data is accurate, governed, and easy to consume. How we work We treat data as a product, with clear ownership, quality standards, and consumers. We build self-service data products rather than one-off reports. We understand the business context before building data models—we care as much about why a metric exists as how it's calculated. We work closely with domain experts to turn business knowledge into reusable, trusted data assets. We continuously improve data quality through governance, documentation, testing, and collaboration. What to expect in the next 90 days 🏁 Month 1 Learn seQura's core Finance processes and KPIs, including pricing, provisioning, servicer settlement, and product profitability. Meet stakeholders across Finance and Finance Tech, and become familiar with the existing dbt models and Metabase dashboards supporting Finance. Month 2 Take ownership of your first data quality or reconciliation initiative end-to-end, tracing issues back to their source alongside Data Engineering while contributing to an active dbt model. Month 3 Deliver your first self-service Finance data product—a documented dbt model together with a Metabase dashboard—that Finance stakeholders can use independently, and present your work and recommendations to Finance leadership. Tech stack & environment 🛠️ Our Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. The team uses dbt for transformation and testing, Redshift as the analytical warehouse, and Metabase to deliver self-service reporting. OpenMetadata supports governance and discoverability, while Python and Airflow are used where automation or orchestration adds value. What you’ll need 🤝 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. What we offer 😎 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. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the 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. 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!👇