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CÔNG TY CỔ PHẦN SỮA VITADAIRY VIỆT NAM
Thỏa thuận
Quận 1 - Hồ Chí Minh
Đại học
3 đến 5 năm
Toàn thời gian
Hôm nay
Position CRM Data and Analytics Leader Level Leader Department CRM Business Unit Marketing Location HCM Office – Floor 5th, Saigon Trade Center, 37 Ton Duc Thang, Ben Nghe Ward, District 1, HCMC Line Manager CRM Data System Manager Woking time T2 – T5: 8:00 – 17:30 T6: 8:00 – 17:00 Round interview Round 1: CRM Data System Manager Round 2: Senior CRM Manager JOB SUMMARY Lead and manage the CRM data team, primarily responsible for collecting, processing, and analyzing multi-channel customer data to generate valuable insights, supporting the development and optimization of CRM strategies, personalized marketing campaigns, and enhancing customer experience. This role directly contributes to revenue growth, cost optimization, and strengthening customer loyalty within Vietnam's dynamic dairy industry through the application of data and predictive analytics. 4. KEY RESPONSIBILITIES Key responsibilities 1. CRM • Provide data-driven insights to support annual CRM budget planning aligned with brand strategy and customer growth objectives. • Propose and oversee the implementation of AI-driven personalization strategies and Omni- channel purchasing behavior • Lead in-depth CRM data mining to generate strategic insights supporting marketing & sales campaigns • Define and propose customer data collection and governance objectives aligned with the brand • Lead the evaluation of Return on Investment (ROI) and optimize CRM campaign costs (SMS, email, automation, etc.). • Establish and maintain a Customer Lifetime Value (CLV) measurement system to prioritize budget allocation and optimize investment • Lead the evaluation of Return on Investment (ROI) and optimize CRM campaign costs (SMS, email, automation, etc.). • Shape and implement customer data strategies based on real-time Customer Data Platform (CDP) foundations • Lead data analysis to develop and optimize loyalty program strategies for specific customer segmentsEnsure that the approach is collective and comprehensive, considering people, processes, culture and systems 2. System Management & Data Integration • Establish and oversee the standardization of CRM data input, processing, cleaning, and management procedures on a regular basis, ensuring data quality and integrity • Define and standardize customer data metrics for the entire system 3. Data Analysis & Insight • Lead the development and implementation of customer churn prediction models. • Oversee the periodic collection, processing, and cleaning of customer data, ensuring the highest data quality • Lead in-depth analysis of CRM campaign effectiveness and Omni-channel customer journeys • Oversee the execution of reports measuring CRM campaign effectiveness and Omni- channel customer journeys • Lead the building and maintenance of a centralized CRM data source optimized for analysis, reporting, and operations • Create and lead the dissemination of monthly dashboard reporting used to measure program performance. • Lead all ad hoc analysis requested by senior leadership and brand management stakeholders Experiences & Requirements - 3-5 years of related experience, especially the FMCG/dairy/nutrition industry or related industry industry, is strongly preferred - Relevant functional backgrounds: CRM, Marketing Analysis, Marketing Response Modeling, Database Marketing/Operations, or Statistical Modeling & Forecasting.Good at SQL and Python Soft Skills - Leadership: - Communication - Problem-Solving: - Collaboration: - Business Acumen - Time Management Technical Skills & Tools - CRM Platforms: Experience working with Salesforce Cloud platform (Service Cloud, Marketing Cloud) strongly preferred. Proficiency in other CRM platforms like - Data Analysis Tools: Proficiency in database querying (SQL), advanced Excel, and Business Intelligence (BI) tools such as Tableau, Power BI. - Modeling & Data Strategy: Expertise in modeling tools, transactional and SKU-level data, CRM technologies, and segmentation/targeting strategies. - Digital Analytics Tools: Experience with Google Analytics - Programming Languages: Proficiency in Python/R for advanced data analysis and model building (preferred) Interested candidates are invited to submit your resume to [email protected].
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