Sr Data Analytics Specialist
Orange is hiring a Sr Data Analytics Specialist in Gurugram, India. Level rates it ; you can apply on Orange.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include TensorFlow and scikit-learn.
- Level lists 857 other open roles at Orange.
- The role was posted in the last few days.
AI in this role
Publication date : Sep 25, 2026, 12:00AM
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.
•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.
• 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.
• 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.
At Orange, only your skills matter.
Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
How we rate this
Sr Data Analytics Specialist at Orange rates 9 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- Typical data analyst job
- $110k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- What's a project where you used TensorFlow hands-on?
- Walk me through how you've used scikit-learn in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: TensorFlow and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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