Nestlé ★ 3.7

• Contribution to business unit strategy under business unit leadership, initiating and owning a value driven data and analytics portfolio of use cases within their respective entity (market) in line with the business strategy
• Leveraging input from a cross functional council creates a value driven data and analytics roadmap, prioritizing analytic use cases that bring value in relation to existing business challenges.
• They will be responsible for business case creation where a business case is required within their market, understanding, and documenting the necessary costs/ benefits container and impact of each use case.
• They are accountable for executing entity driven use cases whilst embedding scaled analytics on strategic / execution use cases coming from functions, category or joint market value within their market to derive value.
• They are in a market capacity able to demonstrate test and learn scenarios in a smaller scope and innovate new ideas and showcase value
• They are responsible for data governance orchestration within their market, working with market stakeholders/stewards/owners and with the above market data office to apply consistently.
• They are responsible for change management and adoption (changes in ways of working, process integration) for use cases executed within their market to ensure realisation of value
• As the custodian of data literacy (capability building, trainings) in market for all functions and categories, they will ensure data literacy needs are met.
• Delivery of analytics
- Introduce and deliver use cases that increase and optimize customer and consumer experience, generate revenue, increase margin, eliminate operational costs and other business outcomes
- Deliver value and gain efficiency by leveraging successfully industrialized analytical models that exploit Nestlé's data assets, tracking market relevant adoption and usage
- Collaborates with other partners, stakeholders and citizen analysts to deliver E2E business solutions (e.g. ASL, business domain experts, solution architects, data engineers, visualization experts etc.)
- If embedding new scaled solutions or test and learn solutions, ensure delivery includes embedding of data literacy
- Successfully navigates the cost benefit analysis between full automation and manual intervention in analytical E2E delivery leading to returned value
• Stakeholder engagement and analytics evangelization
- Leads stakeholders throughout the organization or SBU to identify opportunities for leveraging analytical techniques on top of data assets to drive business solutions
- Leads enterprise-wide teams or SBU towards analytical culture change through presentation of analytically based business recommendations e.g. library of business value success stories
- Socializes best practices to market analytics community whilst being an active participant in communities of practice and above market communities.
- Leads community development within market, coaches citizen analysts, developing and highlighting talent within the market.