ph3About seQura /h3 pseQura provides innovative, versátil and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. /p pWe 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. /p pWe 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. /p pBorn in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.br/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. /p h3About the role /h3 pFinance 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. /p pThis 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. /p pYour 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. /p h3What challenges you'll be solving /h3 ul liLearn 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. /li liDesign 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. /li liPartner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models. /li liValidate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready. /li liChase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds. /li liHelp close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation. /li liPresent findings, recommendations, and new data products directly to Finance leadership,



connecting the data back to the business decisions it's meant to support. /li liContribute to broader Data AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance. /li /ul h3About the Data team /h3 h3Team mission /h3 pTo turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. /p h3What we own /h3 ul liThe dbt transformation layer across business domains. /li liThe Single Source of Truth (SSOT) for key business metrics. /li liSemantic models that enable consistent reporting and analytics. /li liData contracts and governance standards across domains. /li liData lineage, documentation, and discoverability. /li liData quality, testing, and monitoring to ensure trusted data products. /li /ul h3Team Structure /h3 pYou’ll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. /p pYou’ll collaborate closely with FPA, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data AI team to ensure Finance data is accurate, governed, and easy to consume. /p h3How we work /h3 ul liWe treat data as a product, with clear ownership, quality standards, and consumers. /li liWe build self-service data products rather than one-off reports. /li liWe understand the business context before building data models—we care as much about why a metric exists as how it's calculated. /li liWe work closely with domain experts to turn business knowledge into reusable, trusted data assets. /li liWe continuously improve data quality through governance, documentation, testing, and collaboration. /li /ul h3What to expect in the next 90 days /h3 h3Month 1 /h3 pLearn 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. /p h3Month 2 /h3 pTake 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. /p h3Month 3 /h3 pDeliver 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. /p h3Tech stack environment /h3 pOur Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. /p pThe 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. /p br/ h3What you’ll need /h3 h3Must have: /h3 ul li5+ years of experience as a Data Analyst or Analytics Engineer. /li liStrong hands-on SQL skills. /li liPractical experience with dbt, including data modeling, testing, and documentation. /li liExperience building dashboards and self-service data products using Metabase (or an equivalent BI platform). /li liDemonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic. /li liStrong business mindset, with the ability to connect KPIs to the decisions they support. /li liFluent English. /li /ul h3Nice to have: /h3 ol liExperience in fintech, lending, or BNPL environments. /li liKnowledge of provisioning, amortisation, EIR, or IFRS 9. /li liPython for analysis or lightweight automation. /li liExperience with data governance or catalog tools such as OpenMetadata. /li liExperience with orchestration tools such as Airflow. /li liExperience presenting data products directly to Finance or executive stakeholders. /li /ol h3What we offer /h3 pWe 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. /p pOne 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. /p pIn 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. /p ul li23 vacation days + 2 days of free disposal per year. /li liFlexible compensation plan for transportation, restaurants, and kindergarten with Cobee. /li liHealth insurance discounts with Sanitas and DKV. /li liFlexible working hours. /li liA personal budget for professional development. /li liOffice workshops and meet‑ups to encourage community participation and career growth. /li liHybrid or remote work (up to 2 hours difference from GMT+2). /li /ul pMoreover, we have a bWellness Program /b 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. /p h3Which are the next steps? /h3 ul liInterview with People Team /li liHiring Manager interview /li liTechnical take-home assessment (async) /li liLive Peer review of the assessment /li liMeet the team /li /ul pWe 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. /p /p #J-18808-Ljbffr

📌 Financial Product Data Analyst (Barcelona)
🏢 Sequra
📍 Barcelona