Senior Data Analyst Engineer
Sant Cugat del Valles, Barcelona, Spain
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Schedule - Full time Shift -
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingTurn complex data into actionable insights, KPIs, and recommendations
Define data governance mechanisms, standards, and measurement frameworks
Drive analytics demand management and prioritization
Prepare high-quality, governed datasets to enable AI adoption
Operationalize AI-enabled insights with technical teams
From the employer’s posting
Turn complex data into actionable insights, KPIs, and recommendations that drive measurable impact.
Define and implement governance mechanisms that improve data quality, consistency, reliability, and trust.
Drive analytics demand management and prioritization processes to ensure resources focus on the highest-value opportunities.
Enable AI adoption by preparing high-quality, governed, and business-relevant datasets.
Partner with technical teams to operationalize AI-enabled insights and intelligent workflows.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related discipline.
- Data modeling and semantic layer development.
- Understanding of AI and generative AI applications within enterprise environments.
- Strong communication skills and the ability to work effectively across technical and non-technical teams
- 4+ years of experience in data analytics, business intelligence, data engineering, or related technical roles.
- Familiarity with data preparation and governance requirements for AI solutions.
Qualification wording
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Information Systems, or a related discipline.
Data modeling and semantic layer development.
Understanding of AI and generative AI applications within enterprise environments.
Strong communication skills and the ability to work effectively across technical and non-technical teams
4+ years of experience in data analytics, business intelligence, data engineering, or related technical roles.
Familiarity with data preparation and governance requirements for AI solutions.
Tools in this posting
- SQL
- Power BI
Source — Tool mentions in context
Analytics & Business Intelligence: - Advanced SQL, data analysis, and statistical methodologies. - KPI development and business performance management.
- KPI development and business performance management. - Power BI and modern visualization platforms. - Forecasting, trend analysis, and predictive analytics.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 24, 2026 · 27 days ago
- Recorded sightings
- 96
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on hp.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 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).
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’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sant Cugat del Valles, Barcelona, Spain
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.