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Data Analyst @ Orange Business

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 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Data Analyst
Employement Type: Full time

Contact Details:

Company: Orange Business
Location(s): Noida, Gurugram

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Keyskills:   Computer science Data analysis Data management Project management Data collection Data Analyst Continuous improvement Operations SQL Python

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Orange Business

www.orange.com