Full 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.
You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
How you will contribute
You will:
Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements
Identify patterns and help the business react to changing business conditions
Perform root-cause analysis and interpret data
Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and delivers analysis outputs in accordance with customer needs and conforming to established standards
Understand and be involved with aspects of the data science process
As the investigator on the data science team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools, and producing basic data visualizations and reporting dashboards
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Knowledge of Microsoft Excel, Power BI, SQL,R, Python, SAS software, Google Analytics, Google Tag Manager, Tableau, Google AdWords, statistical software
Moderate knowledge in math and statistical skills, strong business acumen, moderate computer science/coding skills
Develop key performance indicators and create visualizations of the data
Utilize business intelligence and analytics tool
More about this role
What you need to know about this position:
MDLZ would like to harness the potential and use data efficiently to empower the Spend Area teams to make the right decisions in the marketplace. This role is responsible for participating in cost model building and parametric bidding projects. This role will be performing cost model statistical analysis including sourcing strategy optimization leveraging multiple sources across the spend portfolio and data lake. In addition, this role will lead parametric bidding initiatives. The role will be manipulating and editing data stored in GSM (e.g., spend data, cost models) and will be drawing insights & conclusions to enable spend area digital agenda. The role will be responsible for increasing data visibility, automation ideas development & delivering insights for Spend Area decisions.
What extra ingredients you will bring:
Strong analytical skill set with experience in Excel (e.g., advanced formulas, pivot table, VBA). Experience in using Coupa Sourcing Optimization or similar sourcing platforms [Trade extensions, Bravo solutions….] for parametric bidding would be considered as asset.
Experience in a procurement, manipulating procurement data such as cost models and supplier spend is preferred
Experience working with & understanding complex business problems and being able to model scenarios/solutions in a complex tool
Ability to simplify complex problems and communicate to non-technical audience
Experience working with advanced analytics platforms such as SQL, R/Python will be considered as asset, but is not required.
Experience working with visualization and reporting platforms such as Tableau is desired.
Education / Certifications:
Appropriate University Bachelor’s Degree in a business administration, economics or quantitative discipline (e.g., engineering, statistics, math, analytics, finance).
Job specific requirements:
1. Provides advanced analytics for strategic complex (parametric) bidding leveraging cost modeling.
2. Establish, maintain and update cost models in Excel and other analytics tools adopted by Mondelez. Perform analysis to benchmark costs to support sourcing decisions & productivity programs.
3. Set up Sourcing events in CSO [Coupa Sourcing Optimization] tender platform in line with predefined architecture and cost structure. Optimize event set up to maximize sourcing options & potential award scenarios. Work as an integrated part of the Sourcing team to establish & run complex set of “what-if” scenarios, and help to translate analysis into insights & sourcing options.
4. Use data visualization tools (e.g. Tableau) to help translate complex data into simple & meaningful insights. Partner with Sourcing Managers in negotiations to model impact of trading variables on sourcing financials.
5. Perform data manipulation and analysis using Excel and create automated solution (e.g. VBA).
6. Support execution of broader Data Science agenda in AMEA & participate in Global projects for Indirect Team.
7. Managing Project activities & representing AMEA region on regular business updates meetings.
Travel requirements:
NA
Work schedule:
Mon-Fri
No Relocation support available
Business Unit Summary
Mondelez India Foods Private Limited (formerly Cadbury India Ltd.) has been in India for over 70 years, making sure our mouth-watering and well-loved local and global brands such as Cadbury chocolates, Bournvita and Tang powdered beverages, Oreo and Cadbury Bournvita biscuits, and Halls and Cadbury Choclairs Gold candies get safely into our customers hands—and mouths . Headquartered in Mumbai, the company has more than 3,300 employees proudly working across sales offices in New Delhi, Mumbai, Kolkata and Chennai and in manufacturing facilities at Maharashtra, Madhya Pradesh, Himachal Pradesh and Andhra Pradesh, at our global Research & Development Technical Centre and Global Business Hub in Maharashtra and in a vast distribution network across the country. We are also proud to be recognised by Avatar as the Best Companies for Women in India in 2019 – the fourth time we’ve received this award.
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
Data Science
Analytics & Data Science