Data Analyst

Job Description

Translate Business Problems: Translate a business problem into a computer and statistical problem Data Management: Identify, evaluate, recover, and prepare the data Evaluate and guarantee the quality and relevance of the models used End-to-End Analysis: Conduct end-to-end analysis, communicating findings and developing recommendations for actions, optimization, and value creation Implement Computer Tools: Implement computer tools, techniques, and statistical methods to efficiently organize, synthesize, and translate data Extract customer knowledge or domains for business value creation Report Formatting: Develop clear, concise, and impactful reports to communicate results to stakeholders Industrialization of Deliverables: Propose and industrialize the development of recurrent deliverables, ensuring efficiency and repeatability in analyses Interdisciplinary Collaboration: Collaborate with various s to understand their data needs and propose tailored solutions Development of KPIs: Design and monitor key performance indicators to assess the effectiveness of strategic initiatives Continuous Improvement: Identify and propose improvements to data collection and analysis processes to optimize overall performance Integration of Value: Integrate the value generated into our processes and the evolution of the information systems domain Optimize Data Use: Optimize the use of data in compliance with the legal and regulatory context Data Evolution: Manage evolutions on data deposits and data enrichment for new levers of value creation Coordination of Exchanges: Facilitate discussions between operational managers and tool managers to ensure smooth implementation of tools Management of Tooling Projects: Oversee the generalization and industrialization of tooling projects, ensuring alignment with operational needs Required Skills: Data Analysis Expertise: Proficiency in analysis tools (Excel, SQL, Python, R) Visualization Skills: Experience with visualization tools (Tableau, Power BI, Elastic ELK) Critical Analysis: Ability to interpret complex data and formulate relevant conclusions Effective Communication: Excellent written and oral communication skills, capable of conveying technical information to diverse audiences Proactive Problem Solving: Ability to identify issues and develop data-driven solutions Understanding of ITIL Processes: Strong knowledge of ITIL processes and the ability to apply them effectively Interpersonal Skills: Excellent ability to interact with users and stakeholders Project Management: Proven experience in managing projects related to operational tooling User-Oriented Approach: Ability to listen and incorporate user feedback to improve tools Qualifications: Degree in statistics, computer science, or a related field 2 to 5 years of experience as a Data Analyst or in a similar role Experience in the telecommunications and IT sector is a plus Global Delivery Operations