Sr Data Analytics Specialist

Orange Business is here!

About us

Join us at Orange Business!We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

About the role

• Collect, process, and analyze large-scale data to monitor network performance, service quality, and operational efficiency.

• Develop and maintain dashboards, reports, and visualizations to track KPIs related to network and business performance.

• Conduct business analysis to identify opportunities for process optimization, cost reduction, and service improvement.

• Design, develop, and deploy AI/ML models for performance forecasting and prediction.

• Collaborate with cross-functional teams to translate business needs into technical solutions, including data pipelines and models.

• Maintain a good understanding of telecom OSS/BSS architecture, KPIs, and industry best practices.

• Participate actively in Agile/Scrum teams, contributing to sprint planning, stand-ups, and iterative development. 

• Stay updated on telecom industry trends, emerging AI/ML techniques, and Agile best practices to support continuous improvement.

 

 

 

About you

• Bachelor’s or Master’s degree in Data Science, Computer Science, Telecommunications, Electrical Engineering, or related fields.

• Proven experience in data analysis, performance analysis, and business analysis within telecom or related industries.

• Strong understanding of OSS/BSS systems, network KPIs, and telecom operations.

• Hands-on experience with AI/ML frameworks and tools (e.g., Python, R, TensorFlow, scikit-learn).

• Proficiency in SQL, ETL/ELT processes and data visualization tools (Tableau, Power BI), and data pipeline development.

• Familiarity with big data technologies (Spark/Fabric/Splunk) is a plus.

• Excellent problem-solving, analytical, and communication skills.

 

 

You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.

What we offer

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).• Professional Development: training programs and upskilling/re-skilling opportunities.• Career Growth: Internal growth and mobility opportunities within Orange.• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.• Reward Programs: Employee Referral Program, Change Maker Awards.

Only your skills matter

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.

Responsibilities

• Collect, process, and analyze large-scale data to monitor network performance, service quality, and operational efficiency.


• Develop and maintain dashboards, reports, and visualizations to track KPIs related to network and business performance.


• Conduct business analysis to identify opportunities for process optimization, cost reduction, and service improvement.


• Design, develop, and deploy AI/ML models for performance forecasting and prediction.


• Collaborate with cross-functional teams to translate business needs into technical solutions, including data pipelines and models.


• Maintain a good understanding of telecom OSS/BSS architecture, KPIs, and industry best practices.


• Participate actively in Agile/Scrum teams, contributing to sprint planning, stand-ups, and iterative development. 


• Stay updated on telecom industry trends, emerging AI/ML techniques, and Agile best practices to support continuous improvement.