Data and Business Intelligence Engineer, People - Desde casa, México - Mondelēz International

Mondelēz International

Empresa verificada

Desde casa, México

hace 3 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

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

As a Data and Business Intelligence Engineer, you will be responsible for designing, developing, and maintaining data solutions that enable advanced analytics and reporting for our HR functions.

You will collaborate closely with HR stakeholders and IT teams to extract, transform, and analyze data from Workday and other systems, empowering decision-makers with timely and accurate information to drive organizational success.

Responsibilities:

Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from Workday and other systems into our data warehouse or BI platform.
Clean, transform, and integrate HR data to ensure accuracy, completeness, and consistency for analysis and reporting purposes.
Develop and maintain data models, dashboards, and reports using BI tools such as Tableau, Power BI, or similar, to provide insights into key HR metrics and KPIs.
Optimize data infrastructure and architecture to support HR analytics workflows, incorporating best practices for data governance, security, and compliance.
Stay current with emerging technologies and trends in HR analytics, data engineering, and business intelligence, and identify opportunities to enhance our analytical capabilities and datadriven decisionmaking processes.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field;
Proven experience (3+ years) in data engineering, business intelligence, or a related field, with a focus on HR analytics and Workday.
Proficiency in data visualization tools such as Power BI, Tableau, or similar.
Strong understanding of UX design principles, information architecture, and usercentered design methodologies.
Experience with data modeling, ETL processes, and SQL querying.
Proficiency in BI tools such as Tableau, Power BI, or similar.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.
Ability to manage multiple projects simultaneously in a fastpaced environment, with attention to detail and a commitment to quality.

More about this role

What you need to know about this position:

What extra ingredients you will bring:

Education / Certifications:

Job specific requirements:

Travel requirements:

Work schedule:

No Relocation support available

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, highquality 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