Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking with People Insights and Analytics
How you will contribute
As a Global People Insights Analyst, you will be part of the Global Reporting and Insights team that provides analytics solutions to Mondelēz Business Units. In this role, you will partner and collaborate with stakeholders to deliver impactful insights. You will leverage your coding, statistical and analytics skills to execute ad-hoc analyses and manage the creation and maintenance of automated reports pertaining to key HR and Culture metrics.
Accountabilities:
Create and maintain reports to track key performance indicators and Culture metrics to identify trends and develop insightsApply statistical techniques and machine learning models to support business decisionsCollaborate regularly with People Team to communicate KPI results and convey insights with data storytellingEnsures proper and thorough documentation of progress reviews and Standard Operating ProceduresDevelop and implement data quality checks to ensure accuracy and consistency of dataIdentify opportunities for process improvement or automation to increase efficiency and effectiveness of reportingWhat you will bring
Qualifications / Requirements:
Experience analyzing data and uncovering insights through modern techniques such as statistical analyses and reporting tools such as Power BI or Tableau.Strong experience in statistics and a coding language such as Python or R is a mustProficient knowledge in regression-based modeling, hypotheses testing and analysis of drivers is a plusStrong attention to detail and accuracyEffective verbal and written communication skillsCompetently troubleshoot report related issues and resolve issuessWhat extra ingredients you will bring
Agile, adaptable, and open to new ideas and culturesAble to work independently as well as be collaborative and a team playerExcellent customer service and communication skillsAbility to cope with multiple tasks and initiativesHigh attention to detail: self-monitors all work to ensure accuracy and completeness, and demonstrates exceptional judgment and discretion when dealing with highly sensitive people dataMás información sobre este puesto
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Qué debes saber acerca de esta posición:
Como Global People Data Analyst trabajarás en el equipo de Global Reporting & Insights de manera remota.
En este puesto, colaborarás con los equipos para generar información de gran impacto. Aprovecharás tus habilidades de programación, estadística y analítica para ejecutar análisis, crear y mantener informes sobre métricas clave de People y cultura organizacional.
Requisitos específicos del puesto:
Graduado u estudiante avanzado de Licenciatura en Datos, Matemática, Física, Ingeniería en Sistemas, entre otras.Dominio del idioma inglés avanzadoExperiencia laboral (deseable)Dominio de PythonHorario laboral:
Esquema remoto. Lunes a Vieernes 8hs a 17 hs
No Relocation support availableBusiness Unit SummaryAt 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 TypeRegularAnalytics & ModellingAnalytics & Data Science