Data Analyst PipelineKEY EXPECTED ACHIEVEMENTS- Relevant Data to meet customer need are identified, captured and selected- Business activities and management teams have the action recommendations they need to create value- Company offers, services or processes are optimized through knowledge gained through data analysis and valuation- Group prescriptions on ethics and data governance are enforced and respected- Resources/tools and competencies needed to govern and analyze data are optimizedData structuration and valuation- Identifies and understands issues the company/entity/business is facing and relevant data sources for its scope or elsewhere- Prioritizes needs with stakeholders- Identifies or acquires data needed to meet a complex or cross functional business need and define levers for value creation- Collects, selects and validates data relevant to the analysis- Analysis and valorizes, with the help of a Data Scientist, heterogeneous, possibly unstructured, data masses to extract useful knowledge for the optimization of the company's offers, services or processes and to obtain reliable results- Interprets complex dataset, analyzes results, identifies trends and/or avenues for action, and makes recommendations based on the analysis of collected data- Synthesizes and organizes analysis in relevant templates and dashboards, understandable by all, using data visualization tools- Communicates and explains analysis results and recommendations to stakeholders and other partners through appropriate processes (Business Review, PSQ diagnoses, etc.)Communication and decision support- Helps the organization to make strategic business decisions that create value through the use of available data- Presents cost-benefit analysis and argues strategy choice.- Establishes monitoring indicators to link data strategy to performance- Anticipates long-term needs within its perimeter and effectively influences the improvement of product, service offers or organizational processesData Quality, Ethics and Security- Applies Group standards for data security, quality and confidentiality throughout their lifecycle and processing- Meets ethical rules in the use of dataMarket Watch/ Continuous improvement- May contribute to model or tool design to better detect Insights and opportunities for growth or improvement- Contributes to defining/writing specifications on storage requirements, data structuring in connection with business entities, data Scientist, data Architect, and master data owner of the entity- Benchmarcke other Business/Business Line on Data Analysis- Promotes open and innovative thinking to harness technological advances in defining perimeter objectives.- Ensures the sharing of good practices (internally and externally) and participates in the development of the skills of its business network
