Process Mining & Process Improvement Internship
HP is hiring a Process Mining & Process Improvement Internship in Barcelona, Spain. Level rates it ; you can apply on HP.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Celonis, Signavio and SQL among its tools and skills.
- Level classes it as an internship.
- HP has 877 other open roles on Level.
- Posted within the past week.
AI in this role
Process mining and improvement intern to analyze field technician workflows using event logs and data visualization tools.
Description -
Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain, remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027.
About the WW Field Process Team
The WW Field Process Team helps HP improve the visibility, consistency, and performance of end-to-end business processes our Field Technicians perform in their day to day. We combine process expertise, data, and digital capabilities to identify opportunities, reduce deviations, and enable more proactive decision-making.
As part of our team, you will work with global stakeholders to apply Process Mining techniques, investigate process behavior, and translate insights into practical solutions and continuous-improvement actions.
Join us to turn process data into insights that improve how work gets done.
Key responsibilities:
- Use Process Mining tools and event-log data to map and analyze end-to-end process flows.
- Identify process deviations, bottlenecks, rework, control gaps, and opportunities for standardization or automation.
- Perform root-cause analysis and translate findings into clear, actionable recommendations.
- Build and maintain Process Mining analyses, dashboards, KPIs, and alerts that support proactive monitoring and solutioning.
- Partner with process owners and cross-functional teams to validate insights, prioritize improvements, and track the impact of implemented actions.
Requirements:
- Currently enrolled in a Bachelor’s or Master’s degree in Industrial Engineering, Business Analytics, Data Science, Information Systems, Business Administration, or a related field.
- Foundational understanding of Process Mining concepts, including event logs, process discovery, conformance checking, and root-cause analysis; experience with Celonis, Signavio or a comparable platform is a strong advantage.
- Working knowledge of data analysis and visualization tools; familiarity with SQL, Python, Power BI, or similar technologies is desirable.
- Strong analytical thinking, curiosity, attention to detail, and the ability to turn complex findings into practical recommendations.
- Effective communication and collaboration skills, with the confidence to work with global, cross-functional stakeholders.
- Fluent in English, both spoken and written.
Experience our benefits:
- Paid internship within a global, technology driven company.
- Join an international work environment, with opportunities for learning, professional development, and networking across teams.
- Flexible working schedule, with options for part-time agreements (4 hours/day) or full-time (8 hours/day). The length of the internship ranges from 4 to 12 months.
- Access to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns.
- Mentor assigned.
- Opportunity to join the HP Graduate Program following the placement.
- Lunch at reduced prices at our canteen.
- Access to our on‑site sports center, including:
- Gym facilities
- Squash, tennis, and basketball courts
- 25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga
- Participation in the NextGen Employee Network, offering regular events and opportunities to connect with other early‑career professionals.
- On‑site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.
- Free printing access and hands‑on workshops using the latest HP technologies — from large‑format prints to 3D‑printed models.
- Easy commuting: Free parking available or excellent access via nearby train services.
- Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future‑skills development.
Sounds like you? Please apply and let’s talk!
Entity: GBU
Job -
AdministrationSchedule -
Part 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"
How we rate this
Process Mining & Process Improvement Internship at HP rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where process mining was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where process optimization was part of your work. What did you do?
- Walk me through how you've used Celonis in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Process Mining, Data Analysis, Root Cause Analysis, Process Optimization, and Celonis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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