Consumer Data Analytics Manager

4 weeks ago


กรงเทพมหานคร, Thailand Nestle Operational Services Worldwide SA Full time

**POSITION SNAPSHOT**

Location: Bangkok
Company: Nestlé
Business Unit/Division: eBusiness
Full-time

**A DAY IN A LIFE OF...**
- Enable Nestle Thailand's Data transformation journey through robust Data Analytics by executing data intepretation and performance analysis of various, Paid and Non-paid channels such as CRM, Loyalty, Media, Website, and Online Sales data, to generate actionable consumer and business insights to drive marketing efficiencies and sales. The Consumer Data Analytics Manager is responsible in collecting data, working with different data sources to ensure the data is flowing to the database properly. Secondly, ensure data is standardized, organized, and cleansed from multiple data sources across multiple Nestle categories to support data activation in Marketing activities. Lastly, lead and manage database and data visualization agencies to deploy database enhancements, database hygiene and data cleanliness, and dashboards management.**Market Data Analysis**:

- Work with Data Activation Manager to scope, design, execute, measure and improve impact of data powered marketing and sales efforts.
- Translate data insights into actions and decision that will drive revenue, brand impact, user growth, engagement and overall marketing and sales effectiveness.

NIM Harmonized Database Analysis and Activation:
- Manage Market harmonized database and multiple data sources (LINE, websites, FB lead generation, Offline, etc.)
- Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision making. Analysis areas might include areas such as retention, sentiment, lifetime value, messaging, promotions, usage, and engagement
- Design data visualization such as charts, infographic, and dashboards to communicate findings and actionable recommendations to internal stakeholders

Personalized Consumer Experiences (PCE) Activation- Help the organization strategize and deliver data driven personalization initiatives by configuring technology and data integrations.
- Stay current on the latest tools and industry developments across digital marketing analytics as well as the various digital media channels, and provide strategic recommendations when appropriate.

**Paid and Non-paid Channels Performance**:

- Develop, maintain and adjust forecasting models to ensure accurate prescriptive analysis and planning, and optimal investment allocation, e.g. by ensuring that the relevant formulas are implemented based on historical data, seasonality & business variables
- Analyze the online path to registration and the path to purchase (to improve conversion funnel, and to find winning combinations regarding menu/pages/section/placement/creative) in close collaboration with ecommerce agency partner
- Ensure the tracking of A/B & MV testing scenarios for subscription packages to optimize creative, CTA and conversion
- Advise on possible outcomes before sales decisions are made, by quantifying the effect of future decisions
- Provide insight and actionable recommendations to Head of eBusiness to support in business steering (e.g. to drive acquisition, traffic and sales, both online and offline)

**ARE YOU A FIT?**
- **Education**:

- Degree in quantitative field such as Statistics, Mathematics, Econometrics, Applied Analytics, Operations Research, Accounting, Business Management, Economics, or Finance
- Professional experience:
- 3-5 years of experience in analytics, metrics gathering, and reporting and related software
- 1-2 years of experience with A/B and MV testing management
- Proficiency in predictive modeling, forecasting and other statistical analyses and related software
- Proven Project Management experience with complex and multi-stakeholder projects
- Knowledge in the following areas:
- Data Visualization (Tableau, PowerBI, etc.)
- Data Management Platforms (Krux, Adobe Audience Manager, Salesforce Marketing Cloud, etc.)
- Web Analytics Tools (Google Analytics, Adobe Analytics, etc.)
- Testing Tools (Target, Maxymizer, Optimizely, etc.)
- Experience in multi-channel environment



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