Responsibilities:
Strategic Contribution:
- Contribute to the business units strategy under the leadership of senior management.
- Initiate and manage a data and analytics portfolio of use cases that align with the companys strategic objectives.
- Create business cases for each use case, outlining costs, benefits, and the expected business impact.
- Execute entity-driven use cases, embedding scaled analytics in strategic and operational projects
Data Governance & Quality Management:
- Orchestrate the implementation and enforcement of data governance policies, ensuring compliance with data privacy regulations and best practices.
- Oversee data quality management, identifying and resolving inconsistencies, and implementing data cleansing and validation processes.
- Document data sources, models, and dictionaries while maintaining up-to-date data documentation for future analysis.
- Ensure data literacy across relevant business units, empowering stakeholders to effectively use data.
Analytics Delivery:
- Introduce and deliver data use cases to enhance customer experience, increase revenue, improve margins, and reduce operational costs.
- Leverage industrialized analytical models to exploit company data assets and track adoption and usage of these solutions in the market.
- Collaborate with internal and external stakeholders (e.g., data engineers, solution architects, business domain experts) to deliver end-to-end business solutions.
- Navigate the balance between automation and manual processes in analytics delivery to ensure optimal value return.
Stakeholder Engagement & Evangelization:
- Support stakeholders in identifying opportunities to leverage data analytics to solve business challenges.
- Influence teams by presenting data-driven business recommendations and sharing best practices within the analytics community.
- Engage actively with the data science community to foster collaboration and innovation.
Requirements:
- Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
- Strong experience with data governance frameworks.
- 2-3 years m inimumexperience in commercial analytics and data management.
- Proven experience withSAP , preferably inmaster data management or a related role.
- Experience withdata governance frameworks and methodologies.
- Familiarity with data visualization tools and statistical techniques (e.g.,MS Power BI, R, Python ) and experience working in cloud environments (Databricks, AZURE, AWS, Google Cloud ).
- Experience in leveraging analytical models to drive business value.
- Experience in theFMCG orRetail industry is highly desirable.
- Demonstrated ability to simplify complex data concepts for business stakeholders.
- Experience with presenting and influencing non-technical and technical audiences.
- Experience working inglobal environments with virtual teams is a plus.
- Proven experience withSAP .
- Knowledge ofPowerBI, SQL, andPython .
