Senior BI Analyst - Fintech - Barcelona
AdaptiveAbout the role
WE ARE:
We are Adaptive.
We design, build, and run bespoke, real-time, front-to-back technology for tier-one investment banks and commodity trading firms. The work is complex, fast, and meaningful — and we take pride in doing it properly.
What makes this possible is not just great engineering, but the teams behind it. Our back-office functions are deeply embedded in the business, shaping how we scale, decide, and move.
We’re now hiring a BI Analyst to join our Data & Analytics team in London or Barcelona.
This team sits at the heart of the company. We turn raw data into clarity, alignment, and momentum. We don’t just report numbers: we define what they mean, make them trusted, and put them in the hands of people who need them.
You’ll report directly to our Head of Data & Analytics.
YOU ARE
- a BI-first practitioner who cares about clarity, performance, and trust.
- A great team player
- Excited to work close to the business, defining metrics, and building BI products people actually use.
- Curious, structured, and comfortable owning things from definition to delivery.
YOU WILL
- Design, build, and maintain high-quality dashboards and reports in Power BI and Metabase (Databricks)
- Own KPI definitions, metrics, and dimensional models used across the business
- Build and maintain a governed semantic layer with consistent logic and access controls
- Create and manage a single, trusted catalog of dashboards and reports, including ownership, certification, and lifecycle
- Ensure row-level and column-level security is correctly implemented
- Enable self-serve analytics through certified datasets, templates, and training
- Partner with stakeholders to translate business needs into reusable BI assets
- Define and monitor SLAs/SLOs for data freshness, accuracy, and dashboard performance
- Monitor refreshes and query performance and continuously improve reliability and speed
YOU HAVE
- Strong experience with a BI tool (Power BI, Looker, or Tableau)
- Solid SQL and experience shaping analytics-ready data models
- Proven dashboard UX skills (layout, filters, drill paths, clarity)
- Experience with semantic modelling, KPIs, and metric governance
- Experience with data security and access control
- A track record of building performant, reliable BI
- Clear communication skills with both technical and non-technical stakeholders
WHY US:
- To be immersed in high-standard engineering culture. We have extraordinary minds at Adaptive. You can learn from anyone here, which is the beauty of it.
- To take part in the growth and development of a great company.
- Our teams feel free to speak up, make suggestions and raise concerns.
- Collaborative team environment: we all work together, respect each other, and pitch in.
- Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits…). The balance between professional and personal life is extremely important to us.
- We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes.
WHAT DO PEOPLE THINK OF US 🗣
You can check our Glassdoor page 🎉
BENEFITS:
We create benefits with YOU in mind.
- 25 days vacation
- Ticket restaurant of €11 per working day
- Pre-tax savings on transport and childcare
- Wellbeing package to support your health (30€ net/month)
- Language classes (English and Spanish)
- Pension plan with 5% match
- Private Health Insurance, including dental cover and psychology.
- 2 Volunteering days per year (If you attend volunteering activities (from teaching with NGOs to cleaning beaches, any volunteering you want to do for personal reasons) you can ask for a day off, even if the activity happens during the weekend you will receive the additional day off. Up to 2 days per year)
THE PROCESS:
Hiring shouldn’t feel like an endurance test.
We keep it simple and human:
- A chat with one of our lovely recruiters
- A Zoom conversation with our Head of Data & Analytics with a practical situation exercise tha
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