Senior Data Analyst (Remote) at Mondelez International

How you will contribute

• Execute the business analytics agenda in conjunction with analytics team leaders
• Work with best-in-class external partners who leverage analytics tools and processes
• Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

• Using data analysis to make recommendations to analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPI's) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

The Senior Data Analyst will be responsible for developing, maintaining and enhancing analytical solutions, with a strong focus on Tableau. This is a highly technical, hands-on role, closely connected to business needs.

This role operates in a fast-paced, high-demand FMCG environment with multiple global stakeholders and concurrent priorities.

Key Responsibilities

• Data Analysis and Root Cause Analysis of discrepancies between datasources
• Develop, maintain and enhance Tableau dashboards
• Own the technical design and delivery of analytics solutions end-to-end
• Partner with business teams to understand needs and translate them into technical requirements
• Ensure data quality, governance and performance across BI solutions
• Work with large datasets from multiple internal and external sources
• Operate in an agile environment, managing multiple priorities simultaneously
• Collaborate with global teams across different time zones
• Drive continuous improvements in BI processes, architecture and visualization

Requirements

• Solid experience as a Data Analyst
• Advanced Tableau expertise (mandatory)
• Experience with Google Cloud Platform (GCP)
• Background in large organizations, preferably FMCG
• Fluent English for meetings with NA teams (US and Canada)
• Strong resilience, autonomy and ability to perform under pressure
• Knowledge of KPIs and scorecards required
• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

Nice to have: Experience in RGM (Revenue Growth Management) / TPM (Trade Promotion Management) systems

Education / Certifications

• Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field
• Postgraduate degree in Data & Analytics, or a related field is a plus