Data & Analytics Manager

POSITION SNAPSHOT

Advanced Data & Analytics Manager

Location: HO, Dubai

POSITION SUMMARY

When you think Nestlé, what’s the first thing that comes to mind? We might be known as the world’s biggest food and beverages company, but much more goes into the DNA that makes us who we are. From the health and wellness of our consumers, the quality of our products and the passion that drives our employees, there’s always more to life within our fray. As such, we’re looking for a Advanced Data & Analytics Manager to join our dynamic team.

As the Advanced Data & Analytics Manager, you will be responsible for providing analysis, insight, rigour and champion the application of marketing effectiveness and optimization across Nestle categories and clusters.

A DAY IN THE LIFE …

PFME Effectiveness, CMI Analytics and Predictive Insights

• Delivers high-impact insight and analytics-based inputs and recommendations that drive brand/business strategies to win in the marketplace.
• Ensures best practice in creative quality and media planning to ensure ROI is maximized.
• Builds recommendations to maximize ROI, including but not limited to MMMs, P&P Modeling, other modeling approaches.
• A true expert in MROI, its methodology and how to apply the outcomes to drive growth and action
• Responsible for business wide capability building regarding understanding MROI and the application for growth.
• Pro-actively connects with the global network to understand the wider MROI picture and best practice.
• Works hand in hand with digital teams and media teams to leverage full expertise in recommendations and actions as a result of campaign measurement and MROI.
• Ensures digital activations performance measurement tools are robust and understood across the business. Responsible for training on performance measurement tools across the business.
• Keeps up to date with industry trends to ensure campaign performance monitoring is up to date and in line with industry trends.

Big Data Management and Data Science:

• Builds big data collection and analytics capabilities to uncover consumer, customer, product, and operational insights.
• Analyzes data sources and proposes solutions to strategic planning problems on a one-time or periodic basis
• Provides data-driven decision support.
• Develops analytics models and insights for consumer, customer, or employee-facing applications to drive efficiency.
• Helps categorize the broad application of analytics for which the organization will be responsible (i.e., marketing and sales, consumer/customer retention and personalization, supply chain and logistics, pricing management, etc.).

What will make you successful…

• At least 7 + years’ experience in market research or analytics at Nestlé, agency, or other client side organization.
• Data Analysis: Strong analytical skills are essential. They should be able to analyze complex data sets, identify trends, patterns, and insights, and derive actionable recommendations. Knowledge of statistical analysis techniques, such as regression analysis, time series analysis, and hypothesis testing, to enhance the depth of analysis in MMM models and real-time media data tracking.
• MMM Models: Knowledge and experience in Marketing Mix Modeling. This includes understanding the methodologies, variables, and techniques used in MMM analysis.
• Data Collection and Validation: Proficiency in collecting and validating data for MMM and real-time media data tracking. This involves ensuring data accuracy, completeness, and reliability.
• Campaign Performance Tracking: Ability to track and monitor the performance of marketing campaigns in real-time, with solid experience of media, its measurement and its core KPIs
• Insights and Reporting: Skill in translating MMM model outputs and real-time media data into actionable insights and recommendations. This includes preparing reports and presentations to communicate findings to stakeholders.
• Business Acumen: Understanding of business operations, marketing strategies, and industry dynamics to connect MMM insights and real-time media data with business outcomes. This includes the ability to align marketing effectiveness initiatives with organizational goals.
• Knowledge of Media and Advertising: Familiarity with media planning, advertising strategies, and media buying processes to better understand the impact of media channels on marketing effectiveness.
• Data Visualization: Proficiency in data visualization tools and techniques to create visually appealing and informative dashboards and reports.
• Collaboration and Stakeholder Management: Strong collaboration and stakeholder management skills to work effectively with cross-functional teams, media agencies, and other stakeholders involved in marketing effectiveness initiatives.
• Project Management: Ability to plan, execute, and manage marketing effectiveness projects, including defining project scope, timelines, and resource allocation.