Chanel

Job Purpose:

As part of North Asia Digital solution, Data Analyst Manager collaborates with the local business teams (the 3 divisions of CHANEL: Fragrance and Beauty (FBP), Fashion (FSN) and Watches and Fine Jewelry (WFJ)) and crunches large volume of local CRM & digital data and perform advanced analytics to uncover business actionable insights,

• Lead local market specific data analytics projects:

Perform deep CRM analysis with the support on TW market incl. client analysis, purchase path, omni-channel journeys (offline and e-commerce), digital campaign effectiveness, etc

acts as the local data lead on building the data strategy of local projects in partnership with the FSN and WFJ client intelligence managers.

Connect the dots across different touchpoints and blends with agility 1st and 3rd party data, look-a-like audiences, contribute to design cookie-based journeys for anonymous clients, detect new activations opportunities

Translate analysis into concise, compelling storylines for business stakeholders

• Interpret learnings with pragmatism and translate them into clear business opportunities and actions:

Deliver deep insights with the appropriate analytics methodologies and techniques, enroll the regional and market teams and lead the integration of the insights in CHANEL systems

Capable of simplifying complex data into simple messages.

Work closely with the APA Data Signature proam (DSP) team to ensure 100% consistency between local data deliveries and regional guidelines

• eCommerce site / Omni-channel touch points:

Lead digital shelf analysis and generate actionable insights to optimize eCom and eMarketing operations (e.g., media, SEO/SEM, content, stock availability, funnel conversions, CLV, next best action etc.)

Perform attribution analysis on the role of eCom as part omni-channel journey across awareness, recuitment, retention and reactivation

Coach business stakeholder on the use of web analytical tools (e.g., Google analytics)

• Local Touchpoint Data Integration

Develop and Maintain Data Pipelines: Design, construct, and maintain data pipelines to integrate data from local touchpoint (Line App)

Data Integration: Work with Business team and IT team to ensure the integration of fragmented customer information to build comprehensive profiles for business decisions.

• Automated Reporting and Dashboard Development

Collaboration and Support: Work closely with cross-functional teams, including IT, marketing, and operations, to understand their data needs and provide tailored solutions. Provide training and support to end-users on how to effectively use dashboards and reports, ensuring they can leverage the tools for their needs.

Automated Visualization Development: Design, build, and maintain interactive dashboards that visualize key metrics and performance indicators, ensuring they are user-friendly and accessible to stakeholders.

ETL Pipeline Development: Design, implement, and maintain ETL (Extract, Transform, Load) pipelines to ensure efficient and accurate data integration from various sources into the data warehouse.

• Help stakeholders use analytics to define goals/KPIs and monitor performance to identify trends and opportunities
• Participate in the Datalab (APAC data lake and single source of truth for data) discussions for TWN market and develop conjointly with the BI team, analytical / reporting capabilities based on the business needs
• Partner with The DSP - data science manager and local IT in implementing client algorithm such as segmentations, client tagging and predictive scoring in our clienteling tools and potentially e-commerce platforms.
• Uncover, pilot and recommend omni-channel client journeys and/or personalization based on data and in collaboration with local marketing teams and Digital Service Manager
• Act as a key stakeholder in advocating / guiding / coaching local business stakeholders to make data driven decisions in day-to-day operations
• Ensure data privacy by design on new local project, is always on top of data privacy regulations in his own market. Conscious of data security requirements from potential root causes to consequences.