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Senior Data Analyst / Data Scientist / BI Specialist

Hybrid in Madrid·Full-time·Added 1 month ago (last checked 1 Nov)

Agency

Adecco España

4316 open roles

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Our summary

Salary: €19 - €20 an hour
Hours: Monday to Friday
Work mode: Hybrid, Madrid
Contract: Fixed-term, full-time hours
Experience: 5+ years
Education: University degree

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

University degree in Mathematics, Statistics, Computer Engineering, Telecommunications, Physics, Data Science, or related fields.
Minimum of 5 years of experience in positions related to Data Analytics, Data Science, or Business Intelligence.
Advanced experience in SQL, Python, and Power BI applied to data analysis and visualization projects.

Nice to have

Postgraduate training in Data Science, Big Data, Business Analytics, or Applied Statistics will be valued.
Experience in cloud environments (Azure, AWS, or GCP) and technological certifications related to data analytics is valuable.

Pay & benefits

What you'll get

Full-time maternity cover contract.
Salary: 35,901.46€ gross per year.

The role

Are you passionate about transforming data into high-impact decisions? We are looking for a Senior Data Analyst / Senior Data Scientist BI with solid experience in advanced analysis, applied statistics, and Business Intelligence to join a dynamic environment oriented towards data-driven decision-making.

The selected person will be responsible for designing complex analyses, developing statistical models, exploiting large volumes of information, and creating visualization solutions that allow for the generation of actionable business insights.

If you are passionate about data and want to participate in strategic projects with real impact on the business, we want to meet you.

What you'll do

Design and execute advanced statistical analyses to identify patterns, trends, and opportunities for improvement.
Extract, transform, and analyze data from multiple sources.
Develop complex SQL queries and optimize information exploitation processes.
Build dashboards and control panels in Power BI oriented towards both business and management.
Apply statistical methodologies to validate hypotheses and support decision-making.
Prepare exploratory analyses and analytical models using Python.
Guarantee the quality, consistency, and reliability of the data.
Communicate results and recommendations to different levels of the organization.

How you'll work

Office hours: Monday to Friday from 8:00 h to 17:00h (with flexibility)
Modality: On-site.
Possibility of teleworking.
Immediate incorporation.

Hiring process

1 interview

Adecco does NOT charge or pay any fee for registering for or taking part in its recruitment processes.
The published stages only go as far as shortlisting; Adecco does not detail the later interviews or timescales, which depend on the client company.

About Adecco España

Adecco España is the Spanish subsidiary of The Adecco Group, the world's largest staffing and recruitment company. Headquartered in Zurich, Switzerland, Adecco operates in over 60 countries and provides workforce solutions across a wide range of industries, including logistics, manufacturing, automotive, healthcare, and technology. In Spain, Adecco is one of the leading employment agencies, connecting thousands of workers with temporary and permanent positions across the country, from warehouse and industrial roles to administrative and customer service positions.

Adecco's Spain presence is extensive, with offices in major cities such as Madrid, Barcelona, Valencia, and Bilbao, among others. The company is known for its strong focus on workforce flexibility and career development, offering training and upskilling opportunities. For international professionals, Adecco Spain provides a gateway to the Spanish job market, with many roles requiring multilingual skills, particularly in customer service and technical positions. The work culture is dynamic and fast-paced, with a strong emphasis on matching candidates to the right opportunities.