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Data Analytics Manager
āļāļĩāđāļāļēāđāļāļĨ (āļāļĢāļ°āđāļāļĻāđāļāļĒ)- Perform deep CRM analysis with the support of The Agency_ Data Insight Lead incl. client analysis, purchase path, omni-channel journeys (offline and e-commerce), CRM 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 in collaboration with the Communication team and the Digital Service Manager
- Translate analysis into concise, compelling storylines for business stakeholders
- 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 Agency_ Data Insight team to ensure 100% consistency between local data deliveries and regional guidelines
- 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, recruitment, retention and reactivation
- With the support of the head of the e-commerce, report on key experience points across the website . inc. account registrations, interactions, and conversions
- Together with the head of e-commerce, coach business stakeholder on the use of web analytical tools (e.g., Google analytics)
- Help stakeholders use analytics to refine e-commerce goals/KPIs and monitor performance to identify trends and opportunities
Key Responsibilities
- Collaborate with The Agency Digital Services Manager and local business teams to build data solutions (aggregated views, automated reports, ad hoc analysis, predictive modeling, etc) which are business actionable.
- Answer open business question with creativity and business acumen
- Define omni-channel client journeys and design pilots
- University graduate, preferably major in data engineering / statistics / mathematics or other related areas
- 5-8 years of experience in an analytics role preferably within the luxury industry and/or a Digital/CRM
- Basic knowledge of Salesforce
- Hands on with SQL and Google Analytics
- Knowledge of R and/or Python to facilitate the collaboration with the Data science manager
- Attentive to detail and accuracy
- Logical thinking and strong problem-solving skills
- Capability to manage multiple projects at one time, and deliver results to deadlines
- Capability to effectively extract and interpret business centric learnings and apply advanced storytelling techniques to draw key insights from data and facilitate decision making
- Highly proficient in data visualization tools, especially Power BI to conduct complex visualization of data insights
- Innovation mindset
- Self-motivated, dynamic and independent but also good team player with a sense of humor
- SQL basic queries knowledge is a must
- Knowledge of R and Python is nice to have
At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL
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āļĢāđāļ§āļĄāļāļēāļāļāļąāļāđāļĢāļē: With a rich heritage and successful history in luxury fashion and cosmetics, Chanel is the global benchmark of modern elegance, impeccable quality and style. Our products, and our cultural values, blending both tradition and innovation, have been delivering the values of femininity, freedom and mode ... āļāđāļēāļāļāđāļ
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