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Global Data & Analytics Operations Manager

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Coty SA
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 150000 EUR Yearly EUR 90000.00 150000.00 YEAR
Job Description & How to Apply Below
Global Data & Analytics Operations Manager
GLOBAL DATA & ANALYTICS OPERATIONS MANAGER
Amsterdam | Consumer Beauty | Permanent Contract
As  Global Manager, Data & Analytics Operations  , you will play a key role in turning Coty Consumer Beauty’s Data & Analytics strategy into  scalable, reliable and business-ready solutions  .

Reporting to the  Global Senior Director, Data & Analytics, Consumer Beauty  , within Strategic Business Operations, you will design, build and scale the data foundations, analytics products and reporting capabilities that enable faster, more confident decision-making across brands, categories and markets.

Working at the intersection of  business, Insights, IT and Data & Technology  , you will translate complex business requirements into intuitive and robust solutions, while strengthening data governance, automation and AI-enabled capabilities across the organization.

This role combines  technical depth, operational excellence and business understanding  , with a clear objective: make data easier to trust, access and use to drive business performance.

OPTIMIZE, ENABLE, INNOVATE!

In this role, you will be responsible for turning Data & Analytics strategy into  scalable capabilities and tangible business value  :

Translate the Consumer Beauty  Data & Analytics roadmap  into scalable data, reporting and analytics solutions across brands, categories and markets.

Convert business needs into  technical requirements, data models and solution designs  , balancing immediate priorities with long‑term scalability.

Design and manage  data architectures, pipelines, semantic models, datasets and analytics products  , ensuring reliability and maintainability.

Build and scale  automated reporting, dashboards and decision‑support solutions  that provide teams with trusted and accessible information.

Establish and strengthen  data governance and quality standards  , including KPI definitions, business rules, metadata, lineage and quality controls.

Connect and harmonize  internal and external data sources  , including syndicated, consumer, retailer, eCommerce and business performance data.

Partner with Insights, IT, Data Platform teams and external providers to deliver  integrated, business‑ready data solutions  and resolve data quality issues.

Enable  advanced analytics, automation and AI use cases  by building scalable data foundations and identifying opportunities to improve efficiency.

Drive continuous improvement across the Data & Analytics ecosystem, promoting  reusable capabilities, shared standards and consistent ways of working  .

YOU ARE A COTY FIT
You are  technically accomplished, solution‑oriented and business‑minded  . You enjoy bringing structure to complex data environments and building solutions that make sophisticated information simple and useful for business users.

You combine strong  technical rigor with pragmatic business judgment  , and you are equally comfortable discussing architecture with technical teams and translating business needs into clear technical requirements.

6–8 years of experience  in Analytics Engineering, Data Architecture, Business Intelligence, Data Operations or a related discipline.

Proven experience designing and operationalizing  data models, pipelines, analytics products and automated reporting solutions  .

Strong ability to translate  business requirements into scalable technical solutions  .

Hands‑on experience integrating and harmonizing  internal and external data sources  .

Strong knowledge of modern cloud, data and BI environments, particularly  Databricks, Microsoft Azure and Power BI  .

Working knowledge of  Python, APIs and data integration  , with the technical literacy to collaborate effectively with engineering and technology teams.

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