亿滋中国 · 商业服务

Data & Analytics Lead

薪资面议  /  上海

昨天 16:20 更新

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公司简介

亿滋中国

"SNACKING MADE RIGHT. 在亿滋国际,我们深深热爱零食世界,所以我们的一切努力都是为了以合理的方式生产,在每个恰当的时刻向消费者提供真正好零食。"

职位属性

  • 招聘类型:社招
  • 工作性质:全职

职位描述

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 be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

How you will contribute

As the D&A lead for Greater China, you will lead crafting AI integrated Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities 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.

High Engaged with business team, understanding of China business and strong business partnership, growth mindset with agility.

Design and implement value-driving data& AI strategy for China Business Growth, Understand the value levers and pain points of the organization and articulate how AI and D&A are delivering tangible value, linked directly to the business strategy

Lead on ground activation and delivery of the BU’s agenda through MDS internal teams (regional and/or global) and external partners – this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed.

Partner with business leads and technical teams to deliver and sustain a robust Data Governance at source (enterprise & local systems), in hub (data lake / hub) and at consumption (analytics / AI products).

Present, share insights with right storytelling at key leadership forums in business language.

Minimizing complexity, establishing right ways of working to accelerate path to value by being choiceful and creative as well as having a growth mindset everyday will be essential.

Systematic, active dissemination of AMEA D&A Solutions into Greater China where applicable and feasible.

Elevate Greater China innovations to the region, helping domain leads refine innovations as regional / global capabilities that can travel.

Creating value from business-driven data and analytics initiatives at scale. An important task for the Greater China D&A leader is to support the business and other stakeholders in their solving their business problems via relevant data & analytics.

Raise the level of data coverage, usage, easy access and literacy in the organization. To become data driven the organization needs employees who can identify, understand and speak data.

Helps uncover and translate business requirements and stakeholder needs. This translation needs to be done in such a way that the technical specialists in the D&A team can understand (Data Management, Analytics Products, Partners and / or Data Science resources).

Data & analytics skills

Must have a good understanding of the concepts, methods and techniques used:

Analytics, for example diagnostic, descriptive, predictive and prescriptive.

AI, for example machine learning, natural language processing,Gen AI use cases

Data management, for example data integration (ETL) or metadata.

Data architecture, for example the difference between data warehouse, data lake or data hub.

Data modelling, for creation of right reusable data assets

Data governance, for example MDM, data quality and data stewardship practices.

Statistical skills, for example understanding the difference between correlation and causation.

Technology skills

Good understanding of the tools and technologies in the D&A team:

Programming languages like SQL, Python or R and notebooks like R Studio or Jupyter.

Data integration tools like Informatica or Talend. Be familar with China cloud platform

Analytics and Business Intelligence tools like Microsoft Power BI or Tableau or spotfire

Big Data technologies like Big Query, SPARK and Databricks.

任职条件

same as above.