E-Business Analytics Manager (Fixed Term Contract) [Singapore]


 
The Regional Fragrance & Beauty (FBP) division is looking for an e-Business Web Analytics manager, whose role is to undertake regular analysis on the performance of our online campaigns, (engagement, time spent, conversion), regularly review the business performance of chanel.com, quantify the effect of future decisions, advise on possible outcomes before decisions are made and recommend one or more courses of action. Essentially, they perform thorough online customer journey and eMerchandising analysis across Chanel.com for all of APAC and build actionable recommendations. They use a combination of techniques such as business rules, algorithms, machine learning and computational modelling procedures to provide prescriptive analysis that examines data or content to answer questions such as “What should be done to reduce the Bounce rate of Bleu landing page?”,” How can the site conversion rate be improved for high value clients?” or “What can we do to increase prospect registrations?”. These techniques are applied against inputs from many different data sets including both historical web analytics / transactional data and real-time data feeds.
They should provide recommendations transversally across the APAC markets, investigating topics of importance to brand, client, or sales KPI’s as well as guiding users in the region and markets to use analytical tools for themselves.
The impact you can create at CHANEL
Fragrance & Beauty e-Business
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    Leverage various models to contextualize KPIs and provide insights and trends in the context of market's online strategy (Campaign effectiveness, E-Merchandising effectiveness, Conversion analysis, content analysis, Customer segmentation based on behavior on the website, etc...) using various analysis techniques (clustering, graph theory applications, etc...)
  • Adopt prescriptive analysis models to support mid- and long-term business decision making
  • Propose advanced KPIs to follow market's eCommerce channel and Digital activities.
  • Validate statistical relevance of market’s A/B hypothesis & tests
  • Support eBusiness teams with their personalisation tests by identifying the most relevant KPI’s and success criteria
  • Leverage internal (Customer satisfaction surveys etc...) and third-party data (eCommerce studies etc...) to build insights and to support business decision making
  • Perform periodic web analysis to inform eChannel Strategy and targets settings
  • Maintain & adjust the forecasting based on actual results & key learnings throughout the year.
  • Provide ad-hoc analysis with insights and recommendations to improve our campaigns, animation, e-merchandising and online experience effectiveness to drive eCommerce performance
  • Demystify Analytics by sharing insights and supporting stakeholders on leveraging data to make business decisions
  • Promote a culture of testing (A/B testing, iterative approaches, etc...)
  • Build awareness of existing Digital Analytics solutions and strategy
  • Share Web Analytics insights and recommendation at regional level and to the eCommerce Community
You are energized by…
  • The values the team can play in being the strategic voice and influence in driving data driven insights for CHANEL’s Fragrance & Beauty division
  • Being a true partner to the business stakeholders across the organization, building relationships, and influencing in a highly collaborative, matrixed, and multicultural environment
  • Being a catalyst of change initiatives, capable across all topics of digital commerce to enable the optimal experience for online clients
  • An environment that advocates listening, co-creation, inclusiveness, user-centricity, and agility in designing holistic solutions
  • People leadership of engaging, empowering and developing the team to be at their best
  • A workplace where we provide you opportunities to drive values in areas where you are good at and support you to be at your best
What you can bring to the team…
  • 6-8 years in data analysis / data modeling including clustering, graph theory applications (if possible, involving eCommerce/web or retail datasets)
  • Familiarity and certification with Google Analytics Premium is a must
  • Excellent written and spoken English skills is a must
  • Hands on experience with a data analysis toolkit (Python, R), including data extraction/cleanup and data analysis
  • Experience leveraging data visualisation tools (if PowerBi/DataStudio it is a benefit) to turn analysis into readily accessible insight to be reported in an easy way to understand by non-data expert population
  • Proven experience to set and develop a data-driven mindset in a company, including experience in data driven continous improvement and A/B testing.
  • Proven ability to work with different sources of data (SQL, APIs, flat files, etc...)
  • Understanding of web architecture and technologies (HTML, JS) is an asset
  • Strong motivation to drive positive brand performance across Chanel’s digital commerce platforms by proactively identifying & driving opportunities for better practices throughout the region
  • Strong project and people management skills to ensure all requests are recognized and prioritized for optimal customer experience & business impact
  • Capability to work independently with minimal supervision and demonstrate sound decision-making and good judgment in the face of ambiguity
  • Flexible and positive mindset to embrace changes and agility to adapt
  • Empathy and excellent communication skills to communicate effectively and maintain good relationships with business stakeholders across various APAC markets
  • Ability to multitask, and thrive in a fast-paced environment
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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