Data & Analytics Manager, AMEA
7 months ago
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 deliverWhat 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 impactsMore about the organization
Data & Analytics (D&A) is a critical enabler for growth across the markets, by leading the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities at scale across AMEA to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans.
The D&A organization has a set of central teams; Data Management, Analytics Products, Center of Enablement and Data Science resources, which should be maximized at the service of the AMEA business priorities – this requires strong collaboration and influencing skills to drive adoption, relevancy and business impact with speed. This role sits in the regional D&A structure that brings together these practices to deliver value based on an opportunity that is identified in the region. We partner commercial functions; Consumer-Marketing, Customer-Sales, Supply Chain and Finance on the D&A agenda for each function. Building capability within the teams including leading, coaching, guiding and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes.What you need to know about this position:
A key success driver in the role is to leverage data, analytics and technology skills to prototype a capability to meet an unmet need in the AMEA business and the global solution portfolio. This capability can later be industrialized and scaled within the region or outside the region via internal teams or external partners It expected that the role become the regional expert in data and market landscape to consult relevant deployment of globally created solutions. This would mean helping uncover and translate business requirements and stakeholder needs. Via consultation or training, the role would be expected to enable the raising of data coverage, usage, easy access, and literacy in the organization. Coach, and nurture an agile and highly inspired D&A teamWhat extra ingredients you will bring:
Qualifications:
Bachelor/Master’s in Computer Science, Statistics, Mathematics, or related field Proven experience in data analysis, data management and exploratory analysis Proficiency in SQL Experience with Python for data manipulation and analysis is good to have Hands on experience with data visualisation tools such as Power BI or TableauJob specific requirements:
Understanding of fundamental data analysis concepts and techniques, data management, exploratory analysis and data manipulation techniques Proficiency in creating visually appealing and informative business dashboards/reports Ability to write SQL queries to extract and manipulate data Knowledge of statistical concepts Awareness of machine learning concepts and applications in data analysisKey Responsibilities:
Coordinate with all relevant stakeholders to ensure alignment with project goals and objectives, facilitating effective collaboration and decision making processes Play the bridge role between Business and technical teams, being able to understand business requirements and translate to technical language (and vice-versa). Track progress, milestones and tasks for issue tracking and resolution. Within this role you will interact with multiple business functions (Finance, Sales, Marketing and Supply Chain) on various Data and BI projects.Data & analytics skills
Working Knowledge: Analytics techniques - diagnostic, descriptive, predictive and prescriptive Practitioner: Data management, for example data integration (ETL) or metadata. Awareness: Data architecture, for example the difference between data warehouse, data lake or data hub. Working Knowledge: Data modelling, for creation of right reusable data assets Awareness: Data governance, for example MDM, data quality and data stewardship practices. Working Knowledge: Statistical skills, for example understanding the difference between correlation and causation. Working Knowledge: Business data, for Customer POS, Media GRP, Shopper Panels, Shipments, Geo-Location, Trade Spend, etc Working Knowledge: UX/design , for example by creating products and visualizations that are easy to work with and support the activities required by the end usersTechnology skills
Practitioner: Programming languages like SQL, Python or R Practitioner: Analytics and Business Intelligence tools like Microsoft Power BI or Tableau.Soft skills to be successful in the role (not a pre-requisite):
Leadership with high level of self-initiative and drive , for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders Communication , for example conveying information to diverse audiences in a way that is easily understood and actionable. Facilitation and conflict resolution , for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation. Creative thinking and being comfortable with unknown or unchartered territories , for example framing new concepts for business teams and brainstorming with business users about future product and services. Teamwork & Collaboration , for example working with both business domain teams as well as D&A teams and stakeholders. Storytelling & influencing , for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors.Domain skills would be an advantage (not a pre-requisite):
Business Acumen , for example understanding business concepts, practices and business domain (Sales, Marketing, Finance and Supply Chain) language to engage in problem solving sessions and discuss business issues in stakeholder language. Project management capabilities to manage a workplan , for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities. Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supportedTravel requirements:
As required for engagements and projects
Work schedule:
Full-time, we work flexibly
Business Unit Summary
Mondelēz International in AMEA (Asia, the Middle East and Africa) region is one of the fastest growing regions for Mondelēz with a revenue of $6B+ and 10K+ potential data & analytics users. We are market leaders in key snacking categories, making and selling brands like Oreo and Tiger biscuits, Kinh Do mooncakes, Jacob’s crackers, Cadbury Dairy Milk chocolate, Tang powdered beverage, Halls candy and Eden cheese. We set the benchmark in being a responsible business and contributing to the communities in which we operate.
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.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply
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
Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets.
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
RegularAnalytics & ModellingAnalytics & Data Science-
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