Senior Data Analyst Engineer

HP; Sant Cugat del Vallès; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

HP in Spain seeks a Senior Data Analyst Engineer to lead analytics capability and enable data-driven decision making across the organization.

The role bridges business and technology teams, translating complex data into strategic insights, driving governance, and delivering measurable value from data and AI investments.

Formación

• Bachelor’s or Master’s degree in a data-related field and 4+ years of analytics/BI experience.
• Experience translating data into actionable insights and governance.
• Strong SQL, data analysis, statistics, and forecasting capabilities.
• Proficiency with Power BI and modern visualization platforms.

Responsabilidades

• Lead the analytics strategy for Services & Operations aligned with business priorities.
• Turn complex data into KPIs and recommended actions with measurable impact.
• Improve data accessibility and usability with engineering and business teams.
• Define governance mechanisms to improve data quality and trust.
• Develop data standards, documentation, and measurement frameworks.
• Enable AI adoption by preparing governed, business-relevant datasets.
• Partner with technical teams to operationalize AI-enabled insights.

Conocimientos

Advanced SQL

Data analysis

Statistical methodologies

KPI development

Business performance management

Power BI

Visualization tools

Forecasting

Trend analysis

Predictive analytics

Data modeling

Semantic layer development

ETL/ELT design

Data pipeline orchestration

Data governance

Metadata practices

AI awareness

Cross-functional collaboration

Communication across technical teams

Engineering-first problem solving

Educación

Bachelor’s or Master’s degree in Data Science or related field

Herramientas

Power BI

Descripción del empleo

Senior Data Analyst Engineer

Description -

Job Summary:

The Services & Operations organization has established a strong data foundation and is now focused on transforming data into actionable insights and measurable business outcomes. To accelerate this evolution, we are seeking a highly skilled Senior Data Analyst Engineer to lead our analytics capability and enable data-driven decision making across the organization.

This role will be responsible for translating complex data into strategic insights, driving governance and prioritization, and ensuring our investments in data and AI deliver tangible business value. The successful candidate will serve as a bridge between business and technology teams, helping leaders make faster, more informed decisions while improving operational efficiency and organizational performance.

This is a high-impact role with broad visibility across Services & Operations and a critical contributor to the Service & Operation organization’s data and AI transformation journey.

Key Responsibilities :

Analytics & Data Enablement

• Lead the analytics strategy for Services & Operations, aligned with business priorities.
• Turn complex data into actionable insights, KPIs, and recommendations that drive measurable impact.
• Improve data accessibility and usability in partnership with engineering, architecture, and business teams.
• Ensure data platforms support AI, advanced analytics, and future business needs.

Data Governance & Prioritization

• Define and implement governance mechanisms that improve data quality, consistency, reliability, and trust.
• Establish data standards, documentation practices, and measurement frameworks.
• Drive analytics demand management and prioritization processes to ensure resources focus on the highest-value opportunities.
• Promote a culture of data-driven decision making across the organization.

AI & Advanced Analytics

• Enable AI adoption by preparing high-quality, governed, and business-relevant datasets.
• Identify opportunities to leverage AI to increase productivity, improve operations, and create business value.
• Partner with technical teams to operationalize AI-enabled insights and intelligent workflows.
• Measure and communicate the business impact of AI and analytics initiatives.

Education:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related discipline.
• 4+ years of experience in data analytics, business intelligence, data engineering, or related technical roles.

Knowledge & Skills:

Analytics & Business Intelligence:

• Advanced SQL, data analysis, and statistical methodologies.
• KPI development and business performance management.
• Power BI and modern visualization platforms.
• Forecasting, trend analysis, and predictive analytics.

Data Management & Engineering

• Data modeling and semantic layer development.
• ETL/ELT design and data pipeline orchestration.
• Data governance, quality management, and metadata practices.

AI & Innovation

• Understanding of AI and generative AI applications within enterprise environments.
• Familiarity with data preparation and governance requirements for AI solutions.

Cross-Org Skills:

• Strong communication skills and the ability to work effectively across technical and non-technical teams
• Analytical problem-solving skills with a practical, engineering-first approach to complex challenges
• Curiosity, adaptability, and a continuous learning mindset in a fast-evolving technology landscape

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Spain)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”