DaaS - Sr. Data Engineer - Sales

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will: 

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

More about this role

In this role, you will have the opportunity to work on the development of a cutting-edge solution that aims to automate commercial reporting and insights to standardize business performance across the organization. You will play an instrumental part in shaping and engineering the features of this solution in daily operations.

What you need to know about this position:

Our team is at the forefront of driving AI, data, and analytics across Mondelez. As a Data Engineer within the Mondelez Data & Analytics team, you will be working towards the following objectives:

• Commercial reporting & insights:
  • Build a single source of truth for commercial reporting with UI-friendly dashboards, leveraging diverse data from across the organization.
  • Create robust data pipelines to support the automated dashboards tailored to different audiences/power users.
  • Evolve dashboards and data models based on insights from testing and user feedback.
• Revenue Growth Management:
  • Build data pipelines to feed AI models that enhance key RGM levers and provide automated, real-time recommendations.
  • Implement the data architecture needed to develop simulation and optimization capabilities using AI to recommend detailed pricing, product mix, and promotion strategy to our customers.

What extra ingredients you will bring:

• Experience working on teams to design and develop data models with high-quality data flow.
• Passion for using data to drive business growth and ability to work with data in an entrepreneurial, fast-paced setting.
• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

Education / Certifications:

• Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
• 10+ years of experience in a data engineering role, preferably in CPG.

Job specific requirements:

• Work on developing efficient data models and dashboards, leveraging various existing data sources across the organization.
• Ingest, transform, and model data to execute the product vision set by the technical and business owners. Focus on maintaining a balance between technology and execution efficiency.
• Design and maintain ETL processes for data integration and ensure data accuracy and integrity.
• Collaborate with data scientists and analysts to provide necessary data for their analyses and models.
• Monitor data processing systems to ensure efficiency, reliability, and uptime.
• Stay updated on the latest technologies and best practices in data engineering and database management.
• Ensure compliance with data privacy regulations and best practices.
• Work with multiple APIs to extract/send data.
• Understanding of the consumer goods industry or similar industries.
• Understanding industry-specific external data sources used to measure and track performance (e.g., Nielsen).
• Proficiency in data warehousing solutions, particularly in the Google Cloud Ecosystem.
• Understanding data containerization, orchestration, processing, and versioning tools and platforms.
• Prior work in DevOps or understanding of CI/CD pipelines.
• Exposure to data security standards and best practices.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

Regular

Analytics & Modelling

Analytics & Data Science