20 publicaciones de empleo destacadas en software testing analyst (¡Están contratando!)

Senior Data Analyst
Werfen —Barcelona, Barcelona provincia
- Jornada completa
- Azure
- Inglés
- SQL
Senior Back End Developer
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- DevOps
- Inglés
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- Trabajo híbrido
- Español
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Etinars —Valencia, Valencia provincia
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Ciklum —Málaga, Málaga provincia
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Senior Data Analyst

Werfen -
Barcelona, Barcelona provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

Power BI
Azure
Logística
Git
Inglés
SQL
AWS
Agile
Cloud
Manufactura
Requisitos comerciales
Python

Descripción completa del empleo

Job Information

Number

WEBWW-2026-000005

Job function

Job type

Full-time

Location

Barcelona

Country

Spain

About the Position

Introduction

Werfen is a growing, family-owned, innovative company founded in 1966 in Barcelona, Spain. We are a worldwide leader in specialized diagnostics in the areas of Hemostasis, Acute Care Diagnostics, Transfusion, Autoimmunity, and Transplant. Through our Original Equipment Manufacturing (OEM) business line, we research, develop, and manufacture customized assays and biomaterials. We operate directly in 30 countries, and in more than 100 territories through distributors. Our Headquarters and Technology Centers are located in the US and Europe, and our workforce is more than 7,000 strong.

Overview

Job Summary

As a Data Analyst Senior, you will design, develop, and deploy robust analytical solutions to support key business decisions. You will leverage your expertise in SQL, Python, and Power BI to transform complex data into actionable insights, build scalable data models, and create compelling visualizations that empower business stakeholders.

Under the general direction of the Technical Leader and senior personnel, with moderate latitude for self-direction, work closely with data engineers, BI analysts, and product owners to deliver fast, efficient, and scalable data intelligence solutions for Werfen employees.

Responsibilities

Key Accountabilities

Among others, you will:

Work with the team and business stakeholders to identify requirements, define models, and kickstart new analytics initiatives.
Develop and maintain complex, scalable data models with SQL and Python within our enterprise data platform.
Have deep knowledge of datasets within the data platform, serving as subject matter expert for data availability, lineage, and quality. Provide guidance to stakeholders regarding data assets and usage.
Select and apply the appropriate analytical methodologies and data modeling techniques to address specific business needs.
Leverage creative solutions, analytics, and visualization/ reporting techniques to enhance knowledge and drive actionable insights that deliver ROI.
Champion, promote, and practice data modeling best practices, code quality, and documentation.
Works with limited oversight of the technical leader.

Networking/Key relationships

It is critical to be able to build relationships based in trust within the organization as the function is to respond to the internal customer needs while taking into consideration the overall corporate strategy.

Qualifications

Minimum Knowledge & Experience required for the position:

5 years of relevant work experience in a similar role in a large company. With experience from multiple projects.
Experience with manufacturing, logistics, R&D and production quality data is an advantage
Advanced SQL including window functions, CTEs, and query optimization.
Strong proficiency in Python for data analysis, manipulation, and automation, including popular libraries and tools such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks
Experience in Power BI, Qlik or other dashboarding software.
Experience developing, testing, and deploying data transformation pipelines using dbt.

Preferred:

AWS, Microsoft Azure cloud computing, or similar.
Familiarity with DataOps principles.
Familiar with Agile methodologies.
Git software versioning.

Skills & Capabilities:

We expect you to demonstrate proficiency in data analysis and have a keen interest in understanding various business domains. We will also need you to be able to communicate data concepts to non-technical colleagues.

You are fluent in English both orally and in writing.
Strong analytical and problem-solving skills, with keen attention to detail.
Skilled in extracting insights from complex datasets.
Excellent time management and prioritization abilities.
You have good presentation skills.
You can communicate well within the team and with stakeholders.
You can analyze business requirements in dialogue with internal stakeholders.
You can collaborate directly with external consultants and vendors.
You are a team player willing to share knowledge, ideas, and banter.

Travel requirements:

5% of time.

Individual Contributor Core Competencies:

Managing Work

Effectively managing one’s time and resources to ensure that work is completed

efficiently.

Emotional Intelligence Essentials

Establishing and sustaining trusting relationships by accurately perceiving and interpreting own and others’ emotions and behavior; leveraging insights to effectively manage own responses so that one’s behavior matches one’s values and delivers intended results.

Building Partnerships

Developing and leveraging relationships within and across work groups, including cross- functional groups, to achieve results.

Decision Making

Identifying and understanding problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria, generating and evaluating alternatives, and making timely decisions; taking action that is consistent with available facts and constraints and optimizes probable consequences.

Continuous Improvement

Originating action to improve existing conditions and processes; identifying improvement opportunities, generating ideas and implementing solutions.

Continuous Learning

Actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities; using newly gained knowledge and skill on the job and learning through their application.

If you are interested in constantly learning and being challenged on a daily basis, we encourage you to submit your resume or CV.

Werfen appreciates and values diversity. We are an Equal Opportunity/Affirmative Action Employer M/F/D/V.

www.werfen.com

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EU - Architect / Analyst (AA) - Ayesa - 1896

Senior Full Stack Developer

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