In sintesi
- Mansioni: Analizza dati finanziari e sviluppa modelli analitici per migliorare le decisioni aziendali.
- Azienda: Satispay, una piattaforma finanziaria innovativa in rapida crescita.
- Benefit: Assicurazione sanitaria, supporto psicologico, flessibilità lavorativa e opportunità di sviluppo professionale.
- Altre informazioni: Ambiente dinamico con opportunità di crescita e inclusione.
- Perché questo lavoro: Unisciti a noi per trasformare i dati in soluzioni che migliorano la vita delle persone.
- Qualifiche: 5+ anni di esperienza in analisi dati, competenze in SQL e Python.
La retribuzione prevista è compresa tra 40000 - 50000 € per anno.
About Us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. Today, we are building a completa financial platform designed to empower people and concretely improve their lives.
What You’ll Be Doing As a Data Analyst, you will be a core member of our Growth & Marketing (G&M) team, taking the data and analytics lead on all Finance initiatives. You’ll play a key role in enhancing decision-making by developing analytical models and self-service data assets that drive impactful solutions for financial planning, reporting, and operational steering.
Here’s What Your Day-to-day Will Look Like:
- Build Financial Analytics & Reporting Capabilities — Develop P&L and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data.
- Lead Investor Relations Analytics — Serve as the primary analytics and intelligence partner for Satispay’s investors, translating business performance into clear, data-driven narratives.
- Partner with Key Stakeholders — Act as the primary data and analytics partner for Finance, collaborating closely with Marketing, Operations, and Product.
- Build High-Impact Visualisation Tools — Define key financial metrics and develop dashboards and reports that communicate financial insights effectively.
- Drive Business Economics Analytics — Partner with Finance to develop analytical frameworks across monetisation, unit economics, LTV, payback period, cost structure, and revenue drivers.
- Enhance Analytics Through AI-Powered Workflows — Design and implement AI-assisted workflows to automate anomaly detection and surface budget deviations.
- Contribute to Our Data Layer Evolution — Contribute to the development of our data mesh layer by designing financial data models and pipelines.
Who We’re Looking For We need a problem-solver with a strong analytical mindset who thrives in a collaborative environment. If you’re detail-oriented and ready to take ownership in a dynamic setting, you’ll fit right in!
Relevant Experience — 5+ years in data-related roles spanning Data Engineering, Data Analytics, and BI, with at least 3 years of hands-on experience in high-volume data environments.
Financial Data Expertise — Hands-on experience in financial data modelling, with a solid understanding of P&L structures and cash flow analytics.
Technical Proficiency — Strong command of SQL, dbt, and Python.
Data Modelling & ETL — Proven experience designing data models, building ETL pipelines, and managing data transformation layers at scale.
AI Fluency — Comfortable using AI tools day-to-day for analytics and automation.
Analytical & Problem-Solving Skills — Comfortable with ambiguity, able to break down complex financial problems into focused workstreams.
Stakeholder Management & Communication — Able to independently lead initiatives across Finance and Marketing domains.
Unit Economics & Monetisation Knowledge — Familiarity with consumer lifecycle metrics and user economics.
Data Visualisation — Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations.
Care About: how we support your impact
- Health — Private insurance for you and your family, psychological support.
- Financial resources — Stock Option Plan, Meal vouchers, Relocation support.
- Growth and development — Professional development programs, Internal mobility.
- Flexibility — Unlimited PTO, Hybrid working policy.
- Family — Enhanced parental leave, Additional leave for child sickness.
We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.
Salary: €40,000.00 - €50,000.00 gross per annum. This range is set using objective, gender-neutral criteria for the role’s core requirements.
Equal Opportunity Employer At Satispay, we’re proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds.
Data Analyst – Finance datore di lavoro: Satispay
Satispay è un datore di lavoro eccezionale che promuove una cultura del lavoro collaborativa e innovativa, ideale per chi cerca un ruolo significativo come Data Analyst nel settore finanziario. Offriamo opportunità di crescita professionale attraverso programmi di sviluppo, flessibilità con un orario di lavoro ibrido e vantaggi unici come assicurazione sanitaria privata e supporto psicologico. Con un impegno verso la diversità e l'inclusione, Satispay è il posto perfetto per costruire una carriera gratificante e impattante.