Technical Data Analyst

MRM; Madrid; Híbrido; EUR 42.000 - 65.000; Jornada completa

Descripción de la vacante

MRM Madrid is expanding its Data team by hiring a Technical Data Analyst to transform prototypes and notebooks into production-ready services, collaborate with the Advanced Analytics team, and deliver scalable analytics solutions.

You will design robust data pipelines, optimize Python and SQL workloads, implement ETL/ELT processes with Airflow or dbt, and ensure deployment readiness with APIs (FastAPI/Flask) in a hybrid Madrid work model.

Formación

• Proficient Python for data manipulation and optimization.
• Expert SQL skills for complex data querying and modeling.
• Experience building and automating data ingestion pipelines (ETL/ELT).
• Familiarity with deployment workflows and APIs (FastAPI/Flask).
• Ability to analyze metrics and communicate insights to stakeholders.

Responsabilidades

• Technical Support & Production Deployment: Work with Advanced Analytics to transform prototypes into automated, production-ready services.
• Data Engineering & ETL/ELT: Design, optimize, and maintain robust data pipelines and ensure high-quality data availability.
• Analytical & Business Insight: Analyze objectives, perform exploratory data analysis, validate data quality, and translate findings into business insights.
• Robustness & Best Practices: Enforce software engineering standards in analytics: version control, data testing, modular development, and documentation.
• Model Monitoring: Support monitoring of variables feeding deployed models to detect data drift and maintain performance.

Conocimientos

Python data manipulation

SQL queries

Data pipeline design

Deployment workflows

Stakeholder communication

Herramientas

Airflow

dbt

Docker

Git

FastAPI/Flask

Descripción del empleo

Job Description

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

Key Responsibilities

• 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.

Desired Technical Skills

• 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.

What We Offer

• 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.