Master Data Analytics Specialist

at  Nokia

FAMILY DESCRIPTION

Analytics (AN) covers the promoting of data science to demystify big data and unlock new business potentials from complex data sources. This covers a huge scope: from classical data gathering and business intelligence, through designing and implementing machine learning, all the way to architecting systems that automate data gathering, analytics, and integrating their outcome into other applications. Determines the foundation for data driven and fact based decision making. Provides the tools and intelligence to formulate strategies and future business development plans.

SUBFAMILY DESCRIPTION

Analytics Data Architecture & Quality (ADA) comprises the design, architecture, and development of scalable data models, test and maintain systems and processes to collect, transform, store, and enable analysis of structured and unstructured data, taking into account considerations related to privacy, security, reliability, and scalability. Contains curation of data and ensures data quality and integrity. Covers creation and maintenance of a data dictionary of all key sources and tables. Comprises documentation of key stakeholders and dependencies as well as the gathering, clarification, and translation of business and data requirements into documentations and conceptual designs from which technical solutions are developed. Contains advising of clients on appropriate data governance capabilities.

• Connect and integrate various data sources (e.g., MDG, ERP systems) to create a unified view of Finance, Supplier and Product master data.
• Design and implement data models and transformations to prepare Finance, Supplier and Product master data for analysis and visualization.
• Building interactive and insightful dashboards using data visualization tools (e.g. Power BI) for Supplier master data.
• Manage and execute technical activities and projects for Finance, Supplier and Product master data analytics use cases
• Prepare schedule and technical activities plan for Finance, Supplier and Product master data analytics use cases
• Seeks and communicates cost efficient solutions for Finance, Supplier and Product master data analytics
• Writes functional and technical specifications and other guiding documentation for Finance, Supplier and Product master data analytics
• Proactively identifying new data insights and opportunities for improvement based on master data analysis.
• Maintain and continuously improve the current Finance, Supplier and Product master data dashboards addressing Business user feedback
• Working closely with business stakeholders to understand their data needs and translate them into effective dashboards.
• Adhering to data governance policies and regulations, ensuring data security and privacy.
• Developing and implementing data quality checks and validation processes to ensure the accuracy and completeness of master data.
• Deep understanding of Master data management principles, processes, and tools. This includes data governance, data quality, data cleansing, and data integration.
• Programming & Data visualization Skills – knowledge of Power BI, advanced analytics tools
• Excellent written and oral communication in English
• Hands-on experience with data analytics tools
• Problem-solving aptitude and analytic mindset
• Effective networking capabilities and comfortable in multicultural environment and virtual teams
• Team player

Please refer the Job description for details