Data Analyst | Y-497

Hewlett-Packard; Barcelona; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology company is looking for a Senior Data Scientist to lead the analysis and interpretation of complex datasets. The role involves generating actionable insights and reports that drive business decisions across departments. The ideal candidate will have extensive experience in data analytics, programming, and visualization tools, along with strong communication skills to mentor and guide team members.

Formación

• Typically 7-10 years of experience in data analytics, database management, or statistical analysis.
• Programming Language Certification in SQL, Python, or similar preferred.

Responsabilidades

• Leads the collection, cleaning, preprocessing, and analysis of large datasets.
• Develops comprehensive plans and data insight visualizations for projects.
• Drives innovation and integration of new Data Science technologies.

Conocimientos

Data Analysis

Business Intelligence

Machine Learning

Agile Methodology

Effective Communication

Digital Fluency

Educación

Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science

Herramientas

Power BI

Tableau

SAS

Descripción del empleo

Job Summary

This role is responsible for leading the collection, cleaning, preprocessing, and analysis of large datasets to derive meaningful insights. The role generates regular reports and ad-hoc analysis, highlighting key metrics and insights that inform business decisions. The role translates complex data into actionable recommendations for various departments, such as marketing, operations, or finance. The role ensures data accuracy, integrity, and consistency across all analyses and reports.

Responsibilities

• Participates as a senior member of a team of data science engineers, carrying out investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
• Creates comprehensive plans, data collection and analysis procedures, and data insight visualizations for assigned projects.
• Reviews and assesses existing reporting systems with a view to modernization through automation and process improvements.
• Collaborates with internal and external partners to perform experiments and validations in accordance with overall plans.
• Works with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
• Drives innovation and integration of new Data Science technologies and practices into projects within R&D organizations.
• Provides guidance and mentoring to less experienced staff members.
• Develops and maintains productive internal and external working relationships, potentially mentoring lower-level employees.

Education & Experience (Recommended)

• Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline, or equivalent work experience or demonstrated competence.
• Typically 7-10 years of experience in data analytics, database management, statistical analysis, or related fields.

Preferred Certifications

• Programming Language Certification (SQL, Python, or similar)

Knowledge & Skills

• Agile Methodology
• Business Intelligence
• Data Analysis, Management, Modeling, Quality, Visualization, Warehousing
• ETL Processes
• Machine Learning
• Tools: Power BI, Tableau, SAS
• Languages: Python, R, SQL
• Statistics

Cross-Organizational Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

Impacts the function and leads or provides expertise to project teams; may participate in cross-functional initiatives.

Complexity

Handles complex problems requiring in-depth analysis of data and multiple factors.

Disclaimer

Sales and Services Entity (ES11)