D&A Data Product Manager

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

Purpose of the role -
As the Analytics Manager, you will play a vital role in the MDS Data & Analytics team supporting the initiatives within the D&A Supply Chain Management function of our company. You will collaborate closely with cross-functional teams, including OTC, marketing, supply chain, and finance, to drive the data strategy and empower Data Management teams with actionable insights that accelerate product development cycles, enhance decision-making, and ultimately contribute to Mondelez's mission of delighting consumers around the world. This position offers an exciting opportunity to work in a dynamic environment working in close partnership with the technical team and business team and managing the projects and analytics roadmap in your area of responsibility.
Job Specific Requirements -
The Manager, Analytics, is a member of the Mondelēz Digital Services (MDS) Data & Analytics working in close partnership with the Mondelez Data & Analytics team.

• 8+ years of overall industry experience and a minimum of 6+ years of experience in Product Management, building and deploying large-scale data products in a production environment.

• Hands-on experience of coding on GCP Big Query, Databricks, and SQL.

• Focus on excellence: Has practical experience of Data-Driven Approaches, is familiar with the application of Data Security strategy, is familiar with well-known data engineering tools and platforms.

• Technical depth and breadth: Able to build and operate Data Pipelines, build and operate Data Storage, and has worked 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 worked on. Can speak to the alternative tech choices that are made on 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 cleaning, curation, and enrichment by using Alteryx, SQL, Python, R, PySpark, SparkR.

• Preparing consolidated DataMart 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).

• Learning ability: Is self-reflective, has a hunger to improve, and has a keen interest in driving their own learning. Applies theoretical knowledge to practice.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

• Work with stakeholders, including the Executive, Product, Data, and Design teams,s to assist with data-related technical issues and support their data infrastructure needs. Data Engineering Concepts: Experience in working with data lake, data warehouse, data mart, and implementing ETL/ELT and SCD concepts.

• ETL or Data integration tool: Experience in Talend is highly desirable.

• Analytics: Fluent with SQL, PL/SQL, and used analytics tools like BigQuery for data analytics.

• Cloud experience: Experienced in GCP services like Cloud Functions, Cloud Run, Data Flow, Data Bricks, and BigQuery.

• Data sources: Experience working with structured data sources like SAP, BW, Flat Files, RDBMS, etc., and semi-structured data sources like PDF, JSON, XML, etc.

• 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 commitment remains a 40-hour week.

• Data Processing: Experience working with any of the Data Processing Platforms, like Dataflow and Databricks.

• 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 that assist them in building and optimizing our 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 from datasets.

• 5+ years of experience in data engineering, business intelligence, data science, or a related field.

• Proficiency with Programming Languages: SQL, Python, R, Spark, PySpark, SQL for data processing.

• Strong project management skills and ability to plan and prioritize work in a fast-paced environment.

• Experience with: Google Cloud Platform, SQL Database, SAP BW/ ECC / HANA, Alteryx, Tableau.

• Ability to think creatively, highly driven, and self-motivated.

• Knowledge of SAP BW for HANA (Extractors, Transformations, Modeling aDSOs, Queries, OpenHubs).

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