Senior Reporting Analyst

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:

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

• 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

More about this role
You will be part of Mondelēz's biggest Analytics Team, delivering world-class analytical solutions showcasing global business impact using sophisticated tools and technologies. You will drive Visualization and Data Processing capabilities to the next level by delivering solutions that impact day-to-day productivity. Build trust and credibility with global stakeholders to achieve common organizational goals and targets.

• Develop and scale up global solutions under the Advanced Analytics and Reporting domain for the Mondelez Supply Chain (SCM).
• Drive end-to-end automation by performing best-in-class technology integration using SQL, Alteryx, and GCP.
• Build best-in-class interactive analytics tools and web apps with superior user experience by leveraging Power BI, Power Apps, and Dash Python.
• Develop business solutions that are scalable, automated, self-sustainable, and interactive for end-users
• Collaborate with external partners and cross-functional global stakeholders to deliver strategic projects on time and "right first time."
• Develop and execute strategies to automate KPIs across all existing dashboards and dataflows to ensure "single source of truth."
• Develop custom models and algorithms to uncover signals, patterns, and trends that drive long-term business performance.
• Leverage AI-powered self-service analytics capabilities of Databricks Genie, to enable business users to query and explore governed data using natural language, reducing dependency on technical teams and accelerating insight delivery.
• Execute the business analytics program agenda using a methodical approach that demonstrates the strategic value of analytics to senior leadership.
• Sustain existing reports and dashboards, ensuring timely updates, high data integrity, and zero downtime.
• Good to have: Experience with React/JS for custom web development and Amazon Quick Suite for cloud-based visualization.

What you need to know about this position:
What extra ingredients you will bring:
Extensive experience in bringing data together from multiple sources, bring out insights & showcase in an easy-to- understand visualization• Strong SCM domain knowledge (Supply Chain Management)• Experience in web app development using React or JS• Experience in cloud-based BI tools like Amazon Quick Suite• Experience in Statistical analytical tools and projects• Experience in using SAP for data extraction or integration• Good communication skills
Education / Certifications:
Bachelor's or master's degree, in a quantitative field such as Statistics, Applied Mathematics, Engineering, Data Science
Job specific requirements:• Demonstrated experience in applying analytical techniques to solve complex business problems• Proven experience in analytics and reporting projects with Cross-Functional and Global stakeholders• Experience in Visualization Tools (Power BI is a must; Tableau at a basic level; Spotfire is an advantage)• Experience in Data Management and Processing Tools (SQL and Alteryx are a must; Talend/ R/ Prep is an advantage)• Experience in web app development tools and projects using Dash (Python); experience in Power Apps and Power Automate is a must; React / JS is an advantage• Extensive experience in bringing data together from multiple sources, bringing out insights, and showcasing them in an easy-to-understand visualization• Total relevant experience of 7-9 years• Demonstrated ability to apply AI/generative AI features within modern BI platforms (Amazon Quick, Databricks)• Proficiency in Databricks Genie for AI-powered natural language data querying, self-service BI, and configuring Genie Spaces to enable business users to interact with governed data
Travel requirements:
Work schedule:
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