BI & Analytics Manager/BI & Analytics Manager

LVMH Group; Aarau; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Louis Vuitton, part of the LVMH Group, seeks a BI & Analytics Manager to partner with stakeholders in Switzerland, translating strategic questions into structured analytical approaches and delivering scalable dashboards across retail and omnichannel domains.

You will define KPIs, enable data-driven decisions, and drive reporting automation using SQL, Python and leading BI tools, while promoting data governance and scalable analytics practices.

Qualifikationen

• 5–8 years of experience in BI or Data Analytics.
• Strong understanding of retail or luxury consumer businesses.
• Ability to translate business questions into analytical solutions.
• Excellent stakeholder management and communication skills in English.
• Advanced SQL proficiency; Python or R a plus.
• Experience with BI platforms (Power BI, Tableau) and data warehousing.
• Familiarity with data modeling and cloud analytics platforms.

Aufgaben

• Partner with business stakeholders to understand priorities and decision-making processes.
• Translate ambiguous questions into structured analytical approaches.
• Proactively identify opportunities to improve business performance with data.
• Facilitate data-driven decision making through storytelling and dashboards.
• Design scalable dashboards supporting operational, tactical and strategic decisions.
• Define KPIs, metrics and analytical frameworks across functions.
• Build reusable reporting assets and standardized performance monitoring.
• Continuously optimize dashboards based on user feedback and priorities.
• Ensure reporting yields actionable insights.

Kenntnisse

Stakeholder management

Project management

Communication & presentation

SQL

Python or R

Retail / luxury knowledge

Tools

Power BI

Tableau

Databricks

Dataiku

Snowflake

Alibaba DataWorks

Jobbeschreibung

BI & Analytics Manager/BI & Analytics Manager

Key Responsibilities

• Partner with business stakeholders to understand strategic priorities, operational challenges and decision-making processes.
• Translate ambiguous business questions into structured analytical approaches.
• Proactively identify opportunities where data can improve business performance.
• Facilitate data-driven decision making through structured problem solving and effective business storytelling.
• Design intuitive, scalable dashboards that support operational, tactical and strategic decision making.
• Define meaningful KPIs, metrics and analytical frameworks across different business functions.
• Build reusable reporting assets and standardized performance monitoring frameworks.
• Continuously optimize dashboards based on user feedback and evolving business priorities.
• Ensure reporting focuses on actionable insights rather than data presentation.

E-commerce & Omnichannel Typical areas include:

• Store performance benchmarking
• Product affinity & cross-selling
• Conversion funnel analysis
• Business opportunity identification

Customer Data, Tagging & Information Layer

Partner with business and tech teams to design scalable business taxonomies and tagging frameworks across enterprise data domains, including:

• Client (profile, lifecycle, preferences, engagement, value)
• Product (category, collection, style, attributes, occasion)
• Store (location, format, traffic, event, client mix)
• Client Advisor (expertise, portfolio, productivity, client interactions)
• Campaign & Marketing Activities
• Digital Touchpoints & Customer Journeys Responsibilities include:

Translate business concepts into standardized data definitions, metadata and semantic models.

Develop reusable business dimensions that improve reporting consistency.

Contribute to enterprise KPI definitions and data governance standards.

Improve analytical scalability through standardized business taxonomy and metadata management.

Data Analysis & Delivery

• Write efficient SQL/Python to extract, transform and analyze large datasets.
• Build reusable analytical datasets and reporting logic.
• Perform exploratory data analysis to uncover trends and business opportunities.
• Collaborate with tech team to improve data quality, availability and governance.
• Develop scalable data visualization and reporting solutions.
• Support automation of manual reporting and analytical processes.

Identify opportunities to automate reporting and analytical workflows.

Explore AI-enabled analytics and next-generation Business Intelligence capabilities.

Continuously improve analytical methodologies, visualization standards and insight delivery.

Key Requirements & Competencies

• 5–8 years of experience in BI, Commercial Analytics or Data Analytics.
• Strong understanding of retail, luxury or consumer business.
• Ability to quickly understand business processes and translate them into analytical solutions.
• Strong stakeholder management, project management and consulting capabilities.
• Excellent communication and presentation skills in both Mandarin & English.
• Advanced SQL proficiency (required). Python or R experience is a plus.
• Strong experience with BI platforms (Power BI, Tableau or equivalent).
• Familiarity with dimensional data modeling and data warehousing concepts.
• Experience with cloud analytics platforms (Databricks, Dataiku, Snowflake, Alibaba DataWorks, etc.) is advantageous.

Founded in Paris in 1854, Louis Vuitton perpetuates the ambitious vision of its namesake. From his origins as a master trunk maker, manufacturing boxes used to pack both everyday objects as well as voluminous wardrobes, Louis Vuitton and his successors introduced numerous innovations including the advent of the flat-top trunk, lightweight canvas, signature patterns, and the tumbler lock. Today, Louis Vuitton’s legacy is expressed through its rigorous spirit of innovation, the boldness of its creations and an uncompromising demand for excellence.

Crafting Dreams Starts With Yours

At LVMH, people make the difference in the art of crafting dreams. Our people fuel our dynamic, entrepreneurial culture. We value collective ambitions, encouraging our talents to push boundaries and champion a curious, audacious state of mind. Our commitment to excellence is reflected in nurturing every individual with a growth mindset and development opportunities, consistently empowering them to reach their full potential. We are actively committed to positive impact through an inclusive environment that supports and gives back to our talented community. Join us at LVMH, where your talent is at the heart of our collective successes.