Data analyst and digitalization intern
At a glance
Junior Data Analysis & BI role at Coty. Barcelona.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Bring together information from SAP, Power BI, SharePoint Lists, Excel and other business systems for analysis
- Help replace manual Quality Operations reports with automated, maintainable reporting workflows
- Build and update Power BI dashboards to track Quality KPIs, including release lead time and inspection performance
- Check and standardize data, then help shape reporting models that support operational decisions
- Work with teams to document digital processes and spot ways to streamline Quality and Supply Chain work
What you bring
- You are studying business analytics, information systems, data science or a related subject
- You have strong analytical and problem-solving ability, with good Excel and data-handling skills
- You know Power BI or a comparable visualization tool
Who this fits
This junior internship suits someone keen to apply data analysis and process improvement to Quality Operations. It runs for six months, starts immediately and is based in Barcelona, Spain.
From the employer
Data analyst and digitalization intern - QC
6 months
Immediate starting
Barcelona
We are looking for a motivated intern to support the digital transformation of Quality Operations processes, helping the team move from manual Excel-based reporting and data manipulation towards automated, scalable, and data-driven solutions.
The intern will work closely with Quality team to improve data visibility, reporting efficiency, KPI monitoring, and decision-making processes. The role combines data analysis, process improvement, business intelligence, and digitalization initiatives.
This is an excellent opportunity for someone interested in Data Analytics, Business Intelligence, Process Automation, and Quality Operations within a global and multifunctional environment.
Key Responsibilities
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Support the digitalization of Quality Operations processes.
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Consolidate and analyze data from multiple sources (SAP, Power BI, SharePoint Lists, Power Apps, Excel files, and other business systems).
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Help transform manual reporting processes into automated and sustainable solutions.
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Assist in develop and maintain dashboards and reports using Power BI.
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Support the monitoring of key Quality KPIs such as:
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Quality Release Lead Time
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Pending Quality Stock
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Non Quality Events
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Inspections Performance
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Service Level Compliance
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Assist in data cleansing, validation, and harmonization activities.
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Support in identification of opportunities to reduce manual effort through automation and workflow optimization.
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Support the creation of data models and reporting structures to facilitate business decision-making.
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Collaborate with different teams to understand operational needs
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Document processes and digital solutions.
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Participate in continuous improvement projects related to Quality and Supply Chain operations.
Desired Skills & Qualifications
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Currently pursuing studies in:
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Business Analytics
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Information Systems
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Data Science
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or a related field
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Strong analytical and problem-solving skills
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Good knowledge of Excel and data handling
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Good knowledge of Power BI or similar visualization tools
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knowledge of Power Automate for workflow automation and process optimization
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Experience working with SharePoint Lists and Microsoft 365 collaboration tools
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Interest in digital transformation and process optimization
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Basic understanding of databases, automation tools, or data analysis is a plus
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Proactive attitude and willingness to learn
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Good communication skills and ability to work independently
What We Offer
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Hands-on experience in digital transformation projects
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Exposure to real business operations and decision-making
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Opportunity to develop technical and analytical skills
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Collaborative and dynamic work environment
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Possibility to contribute directly to efficiency improvements
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Understanding of Quality Control (QC) and Quality Assurance (QA) processes
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End-to-end quality workflows, including inspections, quality release, documentation management, deviation tracking, and KPI monitoring.
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How quality data is used to support operational performance, compliance, risk management, and continuous improvement initiatives
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