Senior Data Analyst EngineerDescription -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. Analytics &

• Data EnablementLead 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 &

• PrioritizationDefine and implement governance mechanisms that improve data quality, consistency, reliability, and trust. Establish data standards, documentation practices, and measurement frameworks. Promote a culture of data-driven decision making across the organization. AI &

• Advanced AnalyticsEnable AI adoption by preparing high-quality, governed,



and business-relevant datasets. 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.

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 & EngineeringData modeling and semantic layer development. ETL/ELT design and data pipeline orchestration. Data governance, quality management, and metadata practices. 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 teamsAnalytical problem-solving skills with a practical, engineering-first approach to complex challengesCuriosity, adaptability, and a continuous learning mindset in a fast-evolving technology landscapeJob -Data & Information TechnologySchedule -Full timeShift -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).

📌 CONSULTANT SENIOR - DATA ENGINEERING (San Cugat del Vallés)
🏢 HP
📍 San Cugat del Vallés