An international player in digital transformation and business consulting, the Audensiel Group supports clients across all sectors in areas such as:
Digital: transformation projects, project management using Agile methodology, business analysis, application development, testing
IT & Business Consulting: supporting IT departments and business units, especially in banking, insurance, and pharmaceutical sectors
IoT: processing and exploiting data from connected devices within complex interconnected systems
Data & AI: architecture and development of Big Data, Data Analytics, DevOps, and Artificial Intelligence solutions
Cybersecurity: audits, governance, and project management related to data protection and security
Cloud & DevOps: strategic guidance, governance, architecture, development, and DevOps implementation
Cream Consulting is a Business & Technology consulting firm working with major accounts in sectors such as banking, insurance, telecommunications, energy, public services, and transportation.
As a Data Analyst (M/F), you will play a key role in leveraging data to support the business. You will be responsible for analyzing large volumes of data, producing high-value analyses and reports, and assisting business teams in optimizing the use of their data in line with the organization’s strategic objectives.
Analyze large volumes of data to understand business challenges and stakeholder needs
Translate business requirements into relevant and actionable data analyses
Contribute to the selection, implementation, and improvement of analysis and reporting tools
Produce strategic analyses, dashboards, and reports for business stakeholders
Identify trends, anomalies, and opportunities from data
Present and communicate analysis results in a clear and understandable way to business stakeholders
Collaborate with IT, data, and business teams to ensure data quality, consistency, and reliability
Help business teams better leverage and optimize their use of data
At least 1 year of experience in data analysis
Passionate about data and transforming it into actionable insights for the business
Experienced with data tools and technologies such as SQL, Python, R, Tableau, QlikView, Power BI, or equivalents
Fluent in French and English; a good knowledge of Dutch is a plus