Business Intelligence Consultant

Location:

Barcelona, B, ES, 08902

Team: Information Technology

Job type: Permanent

Puig is a major player in the worldwide fashion and beauty industry. We have a wide portfolio of well-known luxury brands across fashion, fragrance, makeup, skincare, and wellness. Founded more than 100 years ago, Puig is a family-owned company with a long-term commitment to our brands and stakeholders.

The Opportunity

Location: Barcelona, Spain
Reports To: Business Intelligence Manager
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Mission

We are looking for an experienced SAP Data Consultant with strong expertise in SAP Datasphere, and BW 4/HANA.

This role focuses on delivering data solutions tailored to enterprise-level Financial, HR and operational data. The ideal candidate will ensure seamless data integration and analytics.

What you'll get to do

Responsibilities

1. Data Architecture and Modeling:
• Design, implement, monitor and optimize data models within SAP Datasphere and/or BW for enterprise data.
• Create robust models that meet analytics and reporting needs across SAP Analytics Cloud.

2. Analytics and Visualization Integration:
• Configure and manage connections between SAP Datasphere and SAP Analytics Cloud to enable dashboarding.

3. Performance Monitoring and Optimization:
• Regularly assess system performance, analytics workloads, and governance frameworks to ensure efficiency and reliability.
• Resolve data and integration issues promptly, ensuring minimal impact on business operations.

We'd love to meet you if you have

Qualifications and Skills:

Technical Expertise:
• SAP Datasphere and BW including data modeling and pipeline configurations.
• Expertise in SAP Analytics Cloud (SAC) for building and maintaining complex dashboards.
• Skilled in ETL tools such as SAP Data Services, Alteryx, or others.

Data Management and Analytics:
• Strong understanding of enterprise data modeling techniques, including star and snowflake schemas.
• Proficiency in SQL and database query optimization.
• Familiarity with advanced analytics tools and techniques within SAP.

Soft Skills:
• Excellent interpersonal and communication skills for collaborating with technical and non-technical stakeholders.
• Strong analytical and problem-solving skills with a results-driven approach.
• Proven ability to manage projects in an agile development environment.

Education and Certifications
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 4+ years of experience in data engineering roles, with a focus on SAP Datasphere and BW.

Preferred Qualifications
• Certifications in SAP BTP, SAP BW, SAP Datasphere, SAP Analytics Cloud.
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) for hybrid data management solutions.
• Familiarity with machine learning and predictive analytics integration in SAP Analytics Cloud implementing compliant data solutions.

A few things you'll love about us

An entrepreneurial, creative and welcoming work culture
A range of learning and development opportunities
An international company with plenty of opportunities to grow
A competitive compensation & benefits package

Puig is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status, or any other characteristic protected by law.

At Puig, we are continually looking for enthusiastic and committed individuals from a broad range of backgrounds and experiences to join our team. We believe that creating an inclusive environment in which you feel welcomed, valued, engaged, and empowered strengthens our business and fosters a culture where we are inspired to work hard, challenge ourselves, and be innovative in our thinking. Additionally, we believe that the diversity of our employees makes us a stronger company and better able to serve our customers around the world.

Job Req ID: 29683

Puig 2024. This information is privileged, confidential and contains private information. Any reading, retention, distribution or copying of this communication by any person other than its intended recipient is prohibited.

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