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:
- Execute the business analytics agenda in conjunction with analytics team leaders
- Work with best-in-class external partners who leverage analytics tools and processes
- Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics 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 analytic leaders
- Understanding in best-in-class analytics practices
- Knowledge of Indicators (KPI’s) and scorecards
- Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus
More about this role
The role will be responsible for managing and analysing all key data necessary for driving all essential business intelligence, reporting, analytics and commercial modelling in aid of supporting Mondelez sales priorities. The role will be responsible for the development, analysis and maintenance of sales and operational dashboards for the sales and commercial functions and other functions as and when needed. The candidate will be required to work cross-functionally and will play an important role in using both internal and 3rd party data to present key analysis to track business performance. There will be strong requirement for the candidate to drive collaboration within the business through facilitating effective planning sessions and influencing key stakeholders with relevant data models. The overall function assists the business by empowering them with intelligence that will result in better decision-making and organisational performance.
What you need to know about this position:
Key Responsibilities
- Gather, analyse and report on internal & external data sources, including SAP BI, Smollan, Nielsen, Spar Insights, Data Orbis, plus any other external data sources having the potential to impact and drive business forward business performance
- Ensuring data accuracy and integrity of all data reported through the business intelligence function and deliver timeous reporting.
- Strong focus on sales and operational systems and updates which is fully aligned to operating procedures defined by business and management
- Responsible for the collection, maintenance and timeous and accurate delivery of Perfect Store Reports
- Responsible for the collection, maintenance and timeous and accurate delivery of Consumption Reports
- Drive the adoption of business intelligence as an integral step in helping key stakeholders stay updated with their business performance by proving timeous and accurate information of their customers, segments, product portfolios, etc.
- Preparation of daily, weekly, monthly, quarterly full year performance dashboards and reports
- Develop and maintain key management and operational dashboards for quick and effective decision-making
- Communicate analytical findings through effective communication mechanisms aimed at targeting immediate and medium-term sales growth opportunities.
- Proactively drive business sales performance and carry out value added analysis of ad hoc data sources to identify risks and opportunities to the sales and financial targets.
- Collaborate with all Mondelez stakeholders to develop cross functional knowledge and support special projects with effective business models.
- Execute from time to time key analyses and commercial assessments to track commercial initiatives and ensure the right metrics are being measured for successful outcomes.
- Maintain documentation on business processes (Standard Operating Procedures) of all business intelligence reporting
- Supporting pricing and systems functions within CP&A team and execute due diligence on all reporting mechanisms to ensure “fit for purpose”
- Ad hoc analysis and modelling as and when required by line management and other key stakeholders
What extra ingredients you will bring:
Education / Certifications:
Relevant Tertiary Degree or Diploma – Information systems or related. BSc Degree preferred
Job specific requirements:
Knowledge & Skills
Education, Knowledge, Skills and Experience Required
- Minimum 5 years work with data analytics
- Excellent working knowledge of Excel (creating Pivot tables, VLOOKUPS, etc. is a must)
- Experienced in working with large data sets, reports and dashboard development
- Highly analytical and must have good communication and presentation skills
- Uses data analytics to solve and influence key business decision makers
- Individual to be flexible to accommodate urgent requirements and be prepared to work outside normal hours from time to time.
- Familiarity with creating and maintaining SOP documentation
- Ability to work effectively under pressure and within tight timelines
- Excellent planning, communication skills
- Excellent systems knowledge (SAP, Microsoft, etc.) a must
- FMCG operational and analytics experience is a pre requisite
- Open minded and willingness to constantly learn and find better, effective ways to work
- Ability to sometimes progress analytical solutions in the delay/absence of data
- Excellent business understanding and know how on how to use data to build a data-driven function
Key Relationships
- Working directly with the Mondelez CP&A team, key account managers, commercial finance, demand planning, field sales technical teams and management teams.
- Working with external 3rd party data partners
Travel requirements:
Work schedule:
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.
Regular
Data Science
Analytics & Data Science