Hybrid Finance Data Analyst & Content Strategist in Madrid

Infront Financial Technology GmbH; Madrid; Hybrid; EUR 32,000 - 52,000; Full time

Benefits offered by this job

Remote one day per week

Wellbeing initiatives

Learning resources access

Employee assistance program

Job summary

Infront Financial Technology GmbH is expanding its Madrid office and seeking a Content Analyst to build an analytical layer for financial data. You will collaborate with business analysts to respond to internal data needs, including data requests from Sales, and contribute to data sourcing, quality, and licensing discussions.

The role focuses on evaluating data sources, maintaining data quality, and defining data requirements, with opportunities to work across a global team in a startup-minded

Qualifications

• 2+ years of relevant data experience, preferably financial data.
• Understanding of financial-data concepts or willingness to learn quickly.
• Technical affinity with data-related tools and technology.
• Experience with Python, MATLAB, R, VBA or Excel is preferred; low-code is valuable.

Responsibilities

• Identify and evaluate public data sources and how to integrate them into data intake (e.g., XBRL/EDGAR, DTCC/Dodd-Frank data).
• Analyse vendor coverage, quality, licensing and cost; optimise data-provider setup.
• Explore potential partnerships in content (e.g., Clarity, S&P, Nordea, Stockpulse).
• Maintain expertise in financial instruments, data models and canonical schemas.
• Identify data-quality issues and data gaps; define quality rules and enrichment needs.
• Own the Data Catalogue definitions, lineage, sources and coverage.
• Translate market and client requirements into concrete data requirements.

Skills

Data analysis

Python

Excel

MATLAB

R

Tools

XML Schemas

EDGAR

Job description

Infront Financial Technology GmbH is expanding its Madrid office and seeking a Content Analyst to build an analytical layer for financial data. You will collaborate with business analysts to respond to internal data needs, including data requests from Sales, and contribute to data sourcing, quality, and licensing discussions.

The role focuses on evaluating data sources, maintaining data quality, and defining data requirements, with opportunities to work across a global team in a startup-minded