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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

Orange Business Services is a global IT and communications services provider, with services in 220 countries. We help companies collaborate more effectively, operate more efficiently and engage better with their customers, connecting their people, sites and machines securely and reliably.