Data Analyst Pipeline
KEY 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 optimized
Data 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 processes
Data 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 data
Market 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