Data Scientist (Finance)

Momentum Global; Barcelona; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Momentum Global is partnering with an innovative technology company to identify a Data Scientist to join their growing team in Barcelona. This role sits at the intersection of data science and financial analysis, building models and insights to help business stakeholders make better decisions while stewarding the organisation’s financial data.

You will develop predictive and prescriptive models for forecasting, cost analysis and performance, and deliver dashboards that communicate complex

Formación

• 5+ years in data science, analytics, or quantitative analysis.
• Strong financial analysis and financial modelling knowledge (P&L, cash flow, ARR).
• Proficiency in Python and SQL for data extraction and analysis.
• Experience building and validating statistical models.
• Excellent analytical skills and attention to detail.
• Ability to explain complex analyses to non-technical audiences.
• Fluent in English; Spanish desirable.

Responsabilidades

• Oversee the complete data lifecycle from creation to storage and deletion.
• Ensure data quality with appropriate metrics and improvement plans.
• Develop KPI dashboards and reporting tools for profitability, ARR, cash flow.
• Automate monthly closing and ARR calculations.
• Build predictive and prescriptive models for financial forecasting and performance.
• Communicate findings to technical and non-technical stakeholders.

Conocimientos

Python

SQL

Data analysis

Financial modelling

Communication

English fluency

Herramientas

Databricks

Descripción del empleo

Momentum Global is partnering with an innovative technology company to identify a Data Scientist to join their growing team.

This is an exciting opportunity for an ambitious and dynamic Data Scientist, ideally with strong financial fundamentals to join our team in Barcelona. You'll work at the intersection of data science and financial analysis, building models and insights that help business stakeholders make better decisions while acting as a steward of the organisation’s financial data. This is an opportunity to apply sophisticated analytical techniques to a business environment with unique characteristics and real-world impact.

Key Responsibilities

• Oversee the complete data lifecycle, from data creation to data storage, usage, and deletion.
• Understand the functional meaning of the data within datasets.
• Manage data quality by selecting appropriate metrics, resolving data quality issues, and implementing improvement plans.
• Support the organisation in understanding and correctly using data within their datasets.
• Participate in data governance and policy implementation alongside business data owners.
• Develop and maintain KPI dashboards and reporting tools that provide stakeholders with actionable insights into profitability, ARR, and cash flow.
• Automate repetitive processes, including monthly closing routines and reconciliations.
• Automate and maintain ARR calculations.
• Build predictive and prescriptive models for financial forecasting, cost analysis, and business performance optimisation.
• Analyse financial data and operational metrics to identify patterns, anomalies, and opportunities.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

What We're Looking For

Required Qualifications

• 5+ years of professional experience in data science, analytics, or quantitative analysis.
• Strong background in financial analysis and financial modelling, including a solid understanding of P&L statements, cash flow, and ARR metrics.
• Proficiency in Python and SQL for data extraction and analysis.
• Experience building and validating statistical models.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to communicate complex analyses to non-technical audiences.
• Fluency in English; Spanish is desirable, and additional European languages are an advantage.

Nice to Have

• Previous experience in restaurant technology, hospitality technology, or SaaS analytics.
• Experience with Databricks.
• Experience developing and maintaining data pipelines.