Customer Service Master Data Analyst

Coty
Coty
Barcelona hubPresencialCompetitivoPrácticas
🇬🇧Inglés requeridoPublicado hoy

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CUSTOMER SERVICE MASTER DATA ANALYST
LOCATION: BARCELONA, SPAIN

ABOUT COTY
We are Coty, one of the world's largest beauty companies with an iconic portfolio of brands across fragrance, color cosmetics, and skin and body care. Coty is the global leader in fragrance and number three in color cosmetics. Coty's products are sold in over 150 countries around the world. Coty and its brands are committed to a range of social causes as well as seeking to minimize its impact on the environment.

THE ROLE


The Customer Service Masterdata Analyst is responsible for ensuring the accuracy, completeness, and timeliness of master data processes within the Regional Hub. This role plays a key part in maintaining high-quality master data execution and overseeing data execution from the Shared Service Center. The role is critical for driving efficiency in master data management and ensuring seamless customer service operations.

  • Ensure Master Data Readiness & Quality: Deliver accurate and timely data setup KPIs for product activation, PIPO management, customer setup, logistics, and pricing conditions. Guarantee data readiness for new product launches and promotional activities. Train Sales and Marketing teams to follow global standards and ensure accurate input using standard templates.
  • Governance and Execution of Master Data Processes: Own and enforce master data execution processes, ensuring compliance with business standards. Develop protocols and workflows to maintain master data quality and implement continuous improvement practices.
  • Oversee Shared Service Center Operations: Monitor and validate the quality of master data execution by the Shared Service Center, ensuring SLA adherence.
  • Conduct quality control checks and provide feedback to improve processes and performance.
  • Data Insights and Analytics: Consolidate master data insights and share them with the Master Data Leader to support informed decision-making.

Working for Coty means constant opportunities and change. You will be managing a lot of things at the same time, but this is also what makes it exciting!

Key success measures for the Customer Services Master Data Analyst include the following:

· Timeliness and Accuracy: Ensure master data updates are completed within SLA timeframes and accurately on the first attempt.

· Process and Compliance: Adhere to SLAs, protocols, governance standards, and achieve high audit compliance rates.

· Quality and Efficiency: Maintain high QC pass rates, resolve data issues quickly, and ensure data completeness in all entries.

· Stakeholder Satisfaction and Reporting: Deliver timely analytics and reports while achieving strong feedback from internal stakeholders.

The Customer Services Master Data Analyst will liaise with various cross-functional and remote teams, such as:

· Customer Service Operations

· Shared Service Center

· Master Data Global Teams

· IT CoE

YOU ARE A COTY FIT

You have excellent problem solving skills and have the ability to think quickly & work under tight deadlines. As a CS Master Data Analyst, you get energy from working in a fast-paced, diverse, and challenging environment. You have strong attention to detail and organisation skills, and can communicate effectively and collaborate with various stakeholders.

Other than that, we are looking for candidates who:

- Have a Bachelor's degree, higher vocational training or vocational training in Data Management, or a related field.

- 2 to 4 years of experience in master data management, customer service, or related fields.

- Proficiency in SAP and data governance tools.

- Proficient or Native Level of English. Additional European languages would be a plus.

- Strong proficiency in data analysis tools will be a plus (e.g., Excel, Power BI, Tableau).

- Familiarity with customer and product master data processes in SAP (customer set up, activation, PIPO, pricing conditions).

OUR BENEFITS

As our Customer Service Master Data Analyst French and English Speaker these would be some of the benefits you will be entitle:

· Competitive remuneration and perks will be matched with your experience and knowledge.

· Ticket restaurant (daily diet for meals)

· Company products / Access to the company shop

· Life and accident insurance

RECRUITMENT PROCESS

· A screening call with the recruiters

· A first online/in-person interview with hiring managers

· A second interview (optionally)

· Feedback, verbal offer

· Hiring

ABOUT COTY

Coty is one of the world's largest beauty companies with an iconic portfolio of brands across fragrance, color cosmetics, skincare, and body care. At Coty, we celebrate the entire human kaleidoscope and cultivate a culture of fearless kindness. Therefore, we are proud to be an equal opportunities employer. We do not discriminate against any candidate or employee and strive to be an open, inclusive and diverse workplace where all employees can be their authentic self. Join us in making over the world of beauty!

For additional information about Coty Inc., please visit www.coty.com/your-career.

KEY INTERFACES
• Customer Service Operations

• Shared Service Center

ESSENTIAL SKILLS & EXPERIENCE
Education and experience:

• Bachelor's degree, higher vocational training or vocational training in Data Management, or a

related field.

• 2-4 years of experience in master data management, customer service, or related fields.

• Familiarity with ERP systems SAP and data governance tools.

• Experience working in a Shared Service Center environment is a plus.

Skills

• Strong proficiency in data analysis tools (e.g., Excel, Power BI, Tableau).

• Knowledge of data governance practices and master data management principles.

• Familiarity with customer and product master data processes (activation, PIPO, pricing conditions).

• Strong attention to detail and organizational skills.

• Excellent problem-solving abilities and ability to work under tight deadlines.

• Effective communication and collaboration skills, particularly with cross-functional and remote teams

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