Solvay initiated a profound transformation earlier this year and this transformation positioned digital technologies as key drivers to make it happen. It requires us to change the way we operate, to maximize value across the organization, and adapt to a faster pace of change while ensuring business continuity.
We are now building our new Digital-Technology organisation, developing our skills and competencies to reinvent progress and to create together sustainable shared value for all. Be part of our transformation and drive the change as a member of our future team. We are ONE team that holds accountability as a key standard in our relentless pursuit to deliver value for our customers and stakeholders. In our agile and collaborative work environment we have fun to continue living our moto: reinvent progress.
The Data Analyst is responsible for identifying, collecting and analyzing data based on specific business use cases. S/he will communicate the data and/or findings to the stakeholder(s) in the most appropriate format to generate value from both the data and the analysis outputs.
The Data Analyst’s role is to bridge the gap between the business need and the organization’s data, having knowledge of both sides and potentially a specialisation in specific domain(s) of either side.
Requests requiring more advanced processing techniques (i.e. Statistics, AI/ML) would likely be (co-)handled by the Data Scientist, to whom the Data Analyst could still provide support.
Data collection - Investigates the best possible way to collect and/or integrate the required data by examining source data stores and systems
Analysis & reports - Conduct analysis of the data and create the output in the required format.
Quality assessment - Assess the level of quality of the data
Requirements - Extracts, challenges and refines end-user requirements for analysis, reporting, quality, and performance
Documentation - Document the approach through which the analysis was conducted and important limitations/considerations. In case of a preliminary analysis that leads to a structural solution, this can serve as a first draft for the design of this solution.
Key Stakeholder Interactions
Collaborate with Data Stewards
Collaborate closely with Digital Design Process Specialists
Collaborate with Data Scientists