IT ADI FRM - Bryanston at Nestle

A day in the life of an IT ADI FRM:

• 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.
• Being responsible for business case creation where a business case is required within their market, understanding, and documenting the necessary costs/ benefits and impact of each use case.
• Being 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.
• In a market capacity, ability to demonstrate test and learn scenarios in a smaller scope and innovate new ideas and showcase value
• Responsible for data governance orchestration within their market, working with market stakeholders/stewards/owners and with the above market data office to apply consistently.
• Responsible for change management and adoption (changes in ways of working, process integration) for use cases executed within their market to ensure realization of value
• Be a 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, coach’s citizen analysts, developing and highlighting talent within the market.

What will make you successful:

• Bachelor’s degree or higher (Engineering/ Computer Science /Mathematics/Statistics)
• 10+ years’ experience in commercial analytics
• Demonstrated ability to advise senior executive leadership team members directly
• Demonstrated Experience leveraging data visualization and knowledge of statistical techniques and software (e.g., MS Power BI, R, Python, Open source) and cloud environments (AZURE, AWS, Google Cloud, etc.)
• Demonstrated Experience leveraging analytical models to solve business problems with successful implementation and business value return
• Simplifying complex messages making them understandable to business people
• Demonstrated business knowledge in “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of this domain
• Excellent written and verbal communication skills with experience in coordinating across teams
• Demonstrated ability to communicate complex results and insights to technical and non-technical audiences leading to successful analytic collaboration
• Demonstrated ability to lead team and work with minimal supervision
• Demonstrated experience working in a global environment and with virtual teams leading to business value
• Demonstrated experience utilizing excellent customer facing skills to drive analytic collaboration"