Dein persönlicher KI-Karriere-Agent
Mid Data Analyst - Finance(m/w/x)
Building financial performance data models and tracking customer lifecycle KPIs for a global fintech. 3+ years data analytics and modeling experience required. 30 days sabbatical after 3 years, €2,000 L&D budget.
Anforderungen
- 3+ years data analytics and data modeling experience
- Building advanced reports and dashboards using Google Sheets or similar
- Developing scalable, user-friendly dashboards following best practices, preferably with Tableau or similar
- Translating finance and business requirements into KPIs, data models, and insights
- Strong problem-solving and critical thinking skills
- Clear communication and collaboration with GTM and leadership
- Solid technical foundation and business acumen in finance
- Stakeholder management and data visualization skills
Aufgaben
- Build and maintain data models for financial performance
- Track key KPIs across customer lifecycle
- Develop intuitive dashboards for self-service analytics
- Translate data into clear business insights
- Support decision-making with quantitative analysis
- Contribute to data-driven OKRs
- Ensure reliable data collection and structuring
- Collaborate with cross-functional teams for data accessibility
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Google Sheets
- Tableau
Benefits
Weiterbildungsangebote
- Annual L&D budget of €2,000
Attraktive Vergütung
- VSOP program
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Workation & Sabbatical
- 30 days sabbatical after 3 years
Boni & Prämien
- Referral bonus
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Sonstige Vorteile
- Relocation assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
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Mid Data Analyst - Finance(m/w/x)
Building financial performance data models and tracking customer lifecycle KPIs for a global fintech. 3+ years data analytics and modeling experience required. 30 days sabbatical after 3 years, €2,000 L&D budget.
Anforderungen
- 3+ years data analytics and data modeling experience
- Building advanced reports and dashboards using Google Sheets or similar
- Developing scalable, user-friendly dashboards following best practices, preferably with Tableau or similar
- Translating finance and business requirements into KPIs, data models, and insights
- Strong problem-solving and critical thinking skills
- Clear communication and collaboration with GTM and leadership
- Solid technical foundation and business acumen in finance
- Stakeholder management and data visualization skills
Aufgaben
- Build and maintain data models for financial performance
- Track key KPIs across customer lifecycle
- Develop intuitive dashboards for self-service analytics
- Translate data into clear business insights
- Support decision-making with quantitative analysis
- Contribute to data-driven OKRs
- Ensure reliable data collection and structuring
- Collaborate with cross-functional teams for data accessibility
Berufserfahrung
- 3 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Google Sheets
- Tableau
Benefits
Weiterbildungsangebote
- Annual L&D budget of €2,000
Attraktive Vergütung
- VSOP program
Betriebliche Altersvorsorge
- Corporate pension scheme with 20% match
Workation & Sabbatical
- 30 days sabbatical after 3 years
Boni & Prämien
- Referral bonus
Gesundheits- & Fitnessangebote
- Urban Sports Club subsidy
Kinderbetreuung
- Kita placement assistance
Sonstige Vorteile
- Relocation assistance
Gratis oder Vergünstigte Mahlzeiten
- Subsidised office lunches
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
SumUp
Branche
FinancialServices
Beschreibung
The company is a leading global fintech company committed to leveling the playing field for small businesses.
Noch nicht perfekt?
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