Technical Data Analyst

Mrm Madrid
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Job location

Tech stack

API
Airflow
Data analysis
Information Engineering
ETL
Data Warehousing
Database Testing
Monitoring of Systems
Python
NumPy
Standard Sql
Software Engineering
Data Ingestion
Flask
Delivery Pipeline
GIT
FastAPI
Pandas
Containerization
Software Version Control
Data Pipelines
Docker

Job description

  • Technical Support & Production Deployment: Work closely with the Advanced Analytics team to transform prototypes, scripts, and experimental models (notebooks) into automated, stable, efficient, and production-ready services.
  • Data Engineering & ETL/ELT: Design, optimize, and maintain robust data pipelines. Ensure data sources are properly structured, clean, and continuously available so analytical models can consume high-quality data.
  • Analytical & Business Insight: Actively participate in the analysis phase by understanding the analytical objectives of each project, performing exploratory data analysis, validating data quality, and ensuring technical outputs address specific business questions.
  • Robustness & Best Practices: Introduce software engineering standards into the analytics workflow, including version control, data testing, modular development, and technical documentation.
  • Model Monitoring: Support the monitoring of variables feeding deployed models to detect data drift and ensure long-term model performance.

Requirements

  • Advanced proficiency in Python with a strong focus on data manipulation and optimization (Pandas, NumPy, production-ready scripting).
  • Expert-level SQL skills for querying, extracting, transforming, and modeling complex data in data warehouses.
  • Solid experience building and automating data ingestion and processing pipelines using ETL/ELT tools such as Airflow, dbt, or similar.
  • Familiarity with deployment workflows, APIs (FastAPI/Flask), containerized environments (Docker), and version control systems (Git).
  • Proven ability to analyze metrics, formulate hypotheses, and communicate effectively with both technical and business stakeholders.

Benefits & conditions

  • permanent contract
  • #Hybrid model
  • Flexible schedule
  • Training plans in our extensive training platform.
  • 23 working days of vacation, plus 2 long weekends of your choice, plus 3 days at Easter, plus 3 days at Christmas.
  • The day of your birthday off!
  • Incorporation in a multinational company with high professional, economic and financial solvency that leads new, innovative and large-scale projects.

full_time

About the company

MRM Madrid is looking to expand its Data team with a Technical Data Analyst.

Apply for this position