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 youwill support our businesswith excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Purpose of the role
As the AnalyticsManager you will play a vital role inthe MDSData &Analytics team supporting theinitiatives within theD&A Supply ChainManagementfunction of our company.You will collaborate closely with cross-functional teams includingOTC marketing supply chain and finance to drive the data strategy and empowerDataManagementteams with actionable insights that accelerate product development cycles enhance decision-making and ultimately contribute to Mondelezs mission of delighting consumers around the world. This position offers an exciting opportunity to work in a dynamic environment working in close partnership with thetechnical team andbusinessteam andmanagingtheprojectsand analytics roadmap in your area of responsibility.
Job Specific Requirements
The ManagerAnalyticsis a member of the Mondelēz Digital Services (MDS) Data & Analytics working in close partnership withtheMondelez Data & Analyticsteam.
8 years of overall industry experience and a minimum of6years ofexperiencein Product Managementbuilding and deploying large-scale dataproductsin a production environment.
Hands-on experienceof codingonGCPBig Query Databricks and SQL.
Focus on excellence: Has practical experience of Data-Driven Approachesisfamiliar with the application of Data Security strategyisfamiliar withwell-knowndata engineering tools and platforms.
Technical depth andbreadth:Able to build andoperateData Pipelines build andoperateData Storageand hasworked on big data architecture within Distributed Systems. Is familiar with the infrastructure definition and automation in this context. Is aware of adjacent technologies to the ones they have workedon.Can speak to the alternative techchoicesthatare madeon their projects.
Implementation and automation of Internal data extraction from SAP BW / HANA.
Implementation and automation of External data extraction from openly available internet data sources via APIs.
Data cleaningcurationand enrichment byusing Alteryx SQL Python RPySparkSparkR.
PreparingconsolidatedDataMart for use by Data Scientists and managing SQL Databases.
Exposing data via Alteryx SQL Database for consumption in Tableau.
Data documentation maintenance/update.
Collaboration and workflow using a version control system (e.g. Git Hub).
Learningability:Is self-reflectivehasa hunger to improve and hasa keen interestin drivingtheir own learning. Applies theoretical knowledge to practice.
Build analytics tools thatutilizethe data pipeline toprovideactionable insights into customer acquisition operationalefficiencyand other key business performance metrics.
Work with stakeholders including the Executive Product Data and Design teamss toassistwith data-related technical issues and support their data infrastructureneeds. DataEngineeringConcepts: Experience in working with data lake data warehouse datamartand implementing ETL/ELT and SCD concepts.
ETL or Data integration tool: Experience in Talend is highly desirable.
Analytics: Fluent with SQL PL/SQL andusedanalytics tools like BigQuery for data analytics.
Cloud experience: Experienced in GCP services like Cloud Functions Cloud Run Data FlowData Bricksand BigQuery.
Data sources:Experienceworking withstructureddata sources like SAP BW Flat FilesRDBMSetc. andsemi-structured data sources like PDF JSONXMLetc.
Flexible Working Hours: This role requires the flexibility to work non-traditional hours including providing support during off-hours or weekends for critical data pipeline job runs deployments or incident response while ensuring the total work commitmentremainsa 40-hour week.
Data Processing:Experienceworking with any of the Data Processing Platforms likeDataflow andDatabricks.
Orchestration: Experience in orchestrating/scheduling data pipelines using any of the tools such as Airflow and Alteryx.
Create data tools for analytics and data scientist team members thatassistthem in building andoptimizingour product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Skills and Experience
Deep knowledge in manipulating processing and extracting value fromdatasets.
5years of experience in data engineering business intelligence data science or a relatedfield.
Proficiencywith Programming Languages: SQL Python RSparkPySpark SQL for data processing.
Strong project management skills and ability to plan and prioritize work in a fast-pacedenvironment.
Experience with:Google Cloud PlatformSQL Database SAP BW/ ECC / HANA AlteryxTableau.
Ability to think creativelyhighlydrivenandself-motivated.
Knowledge of SAP BW for HANA (Extractors Transformations ModelingaDSOs QueriesOpenHubs).
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.
Required Experience:
IC
Mondelēz International, Inc. empowers people to snack right in over 150 countries around the world. We're leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. ... View more