Requirements: English
Company: Suntory Global Spirits
Region: Madrid , Community of Madrid
With two centuries of family heritage, Suntory Global Spirits is a world leader in premium spirits. As a truly global business, we bring together the best of our culturally diverse heritage. We value both agility and long-term thinking; we share a collective commitment to excellence and a dedication to craftsmanship. Across borders and roles, we collaborate to delight our consumers responsibly whilst contributing to a more sustainable society for all our stakeholders.
Our Vision is Growing for Good, and our mission is to be the worlds most admired, fastest-growing premium spirits company. Were a business that runs on responsibility, integrity, ambition and drive, and we celebrate exceptional performance. We welcome our people to dream big and tenaciously pursue ambitious goals we call it our Yatte Minahare Spirit.
Analytics Manager - Global Supply Chain Planning & Fulfillment CoE
This role is open in Madrid, Spain.
What makes this a great opportunity?
We are looking for people who bring something unique to Suntory Global Spirits themselves. We value differences, and we appreciate what each of us can contribute. We inspire each other, and challenge ourselves to innovate, improve, advance new ideas and try new things. We create endless opportunities to Unleash Your Spirit every day in a culture that is charged, creative, challenging and fun.
- Opportunity to belong to a Global team in a multicultural environment by sitting in the Madrid Office.
- Dynamic and growing organization where creative ideas are more than welcome.
- Suntory GS Spain Benefits package which includes: health insurance, life insurance, luncheon card, pension plan. Suntory Global Spirits also offers a positive and nice working environment
Role Responsibilities
Data Quality and Governance:
- Ensure the integrity and structure of the data warehouse and assets.
- Establish and enforce data standards, naming conventions, and classification frameworks.
- Define and govern data models to ensure alignment with best practices and establish reliable sources for critical datasets.
- Collaborate with IT for proper data synchronization and clear documentation of updates.
- Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team.
- Engage in resolving data quality and process issues affecting reporting accuracy.
- Conduct audits of models, visualizations, and documentation for compliance with standards.
Analytics Project Delivery:
- Provide input during design workshops to align on deliverables and effort.
- Ensure timely delivery of analytics projects.
- Lead the team in planning and coordinating development activities.
- Act as the delivery team lead for ongoing projects, monitoring progress and aiding report builders.
- Manage delivery-level risks and escalate issues as needed.
- Collaborate with stakeholders to ensure solutions are sustainable and fit for purpose.
Coaching and Mentoring:
- Lead and support report builders in their daily tasks and design discussions.
- Mentor the team to enhance skills in data modeling and visualization.
- Foster a culture of continuous learning and improvement.
Innovation:
- Drive advancements in analytics capabilities for data modeling and visualization.
- Collaborate with IT to design innovative data architecture.
- Develop partnerships and establish a robust analytics community for knowledge sharing.
- Utilize a professional network to identify best practices and benchmark new capabilities.
Qualifications
- Experience : 5-7 years in Analytics, including 3-5 years as a Senior Developer/BI Lead with experience in managing and coaching others; experience in Supply Chain is preferred.
- Education : Bachelors Degree, preferably in Data Science, Computer Science, Supply Chain, or IT-related fields.
- Data Governance : Solid understanding of data governance and modeling best practices with hands-on implementation experience.
- Tools : Proficient with data warehousing/modeling tools like Datasphere (preferred) or Google Big Query, and visualization tools such as Power BI or SAP Analytics Cloud.
- Project Leadership : Experience leading BI projects and Data Warehouse implementations in large IT environments with multiple platforms and data sources.